J. Onnela

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Analysis of a large-scale weighted network of one-to-one human communication

A. Barabasi, K. Kaski, J. Kertész, 2007, physics/0702158.

Intensity and coherence of motifs in weighted complex networks.

K. Kaski, J. Saramäki, J. Kertész, 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

Generalizations of the clustering coefficient to weighted complex networks.

Mikko Kivelä, K. Kaski, J. Saramäki, 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

A Model For Social Networks

K. Kaski, J. Saramäki, J. Onnela, 2006, physics/0601114.

Communities in Networks

Mason A. Porter, Jukka-Pekka Onnela, Peter J. Mucha, 2009, ArXiv.

Analysis of a large-scale weighted network of one-toone human communication

A. Barabasi, K. Kaski, J. Saramäki, 2007 .

Clustering and information in correlation based financial networks

K. Kaski, J. Kertész, J. Onnela, 2003, cond-mat/0312682.

Dynamics of market correlations: taxonomy and portfolio analysis.

K. Kaski, J. Kertész, J. Onnela, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Spontaneous emergence of social influence in online systems

Jukka-Pekka Onnela, Felix Reed-Tsochas, J. Onnela, 2009, Proceedings of the National Academy of Sciences.

Dynamic asset trees and portfolio analysis

K. Kaski, J. Onnela, A. Chakraborti, 2002, cond-mat/0208131.

Using sociometers to quantify social interaction patterns pdf

Alex Pentland, David Lazer, Jukka-Pekka Onnela, 2014, Scientific Reports.

Smartphone sensing of social interactions in people with and without schizophrenia.

J. Onnela, D. Fulford, Jarrod Luckenbaugh, 2020, Journal of psychiatric research.

Spectral and network methods in the analysis of correlation matrices of stock returns

Kimmo Kaski, Jukka-Pekka Onnela, Jari Saramaki, 2007 .

A systematic review of smartphone-based human activity recognition methods for health research

J. Onnela, M. Straczkiewicz, Peter James, 2021, npj Digital Medicine.

Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health

S. Rauch, J. Onnela, 2016, Neuropsychopharmacology.

Social network analysis of group position, popularity, and sleep behaviors among U.S. adolescents.

S. Haneuse, J. Onnela, I. Kawachi, 2019, Social science & medicine.

A Network Approach to Stroke Systems of Care.

J. Onnela, L. Schwamm, A. Dhand, 2019, Circulation. Cardiovascular quality and outcomes.

Multiple contexts and adolescent body mass index: Schools, neighborhoods, and social networks.

David R. Williams, J. Onnela, S. Subramanian, 2016, Social science & medicine.

Polio vaccine hesitancy in the networks and neighborhoods of Malegaon, India.

N. Christakis, J. Onnela, A. J. O’Malley, 2016, Social science & medicine.

Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry

Patrick C. Staples, J. Onnela, J. Torous, 2015, Current Psychiatry Reports.

High Potential But Limited Evidence: Using Voice Data From Smartphones to Monitor and Diagnose Mood Disorders

J. Onnela, J. Torous, Flora Or, 2017, Psychiatric rehabilitation journal.

A comparison of passive and active estimates of sleep in a cohort with schizophrenia

Patrick C. Staples, Luis R. Sandoval, M. Keshavan, 2017, npj Schizophrenia.

Relapse prediction in schizophrenia through digital phenotyping: a pilot study

Patrick C. Staples, Luis R. Sandoval, M. Keshavan, 2018, Neuropsychopharmacology.

Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders

Ana Maria Triana Hoyos, M. Keshavan, J. Onnela, 2019, Current Psychiatry Reports.

A comparison of passive and active estimates of sleep in a cohort with schizophrenia

Patrick C. Staples, Luis R. Sandoval, M. Keshavan, 2017, NPJ schizophrenia.

Understanding the quality, effectiveness and attributes of top-rated smartphone health apps

J. Onnela, J. Torous, A. Vaidyam, 2019, Evidence-Based Mental Health.

Flexible Model Selection for Mechanistic Network Models via Super Learner

Jukka-Pekka Onnela, Antonietta Mira, Sixing Chen, 2018, 1804.00237.

Physician Patient-sharing Networks and the Cost and Intensity of Care in US Hospitals

Jukka-Pekka Onnela, Nicholas A Christakis, James O'Malley, 2012, Medical care.

A Simple Generative Model of Collective Online Behaviour

Jukka-Pekka Onnela, Davide Cellai, Felix Reed-Tsochas, 2014 .

Variation in patient-sharing networks of physicians across the United States.

Jukka-Pekka Onnela, A James O'Malley, Nicholas A Christakis, 2012, JAMA.

Dynamic asset trees and Black Monday

K. Kaski, K. Kaski, J. Kertész, 2002, cond-mat/0212037.

Master-equation analysis of accelerating networks.

Jukka-Pekka Onnela, J. Onnela, N. S. Jones, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

C O ] 7 S ep 2 01 8 ABCpy : A High-Performance Computing Perspective to Approximate Bayesian Computation ∗

A. Mira, Ritabrata Dutta, J. Onnela, 2018 .

A multilevel approach to modeling health inequalities at the intersection of multiple social identities.

David R Williams, David R. Williams, Jukka-Pekka Onnela, 2017, Social science & medicine.

F eb 2 00 8 Link-Space and Network Analysis

J. Onnela, N. Johnson, Chiu Fan Lee, 2008 .

Evaluating spillover of HIV knowledge from study participants to their network members in a stepped-wedge behavioural intervention in Tanzania

J. Onnela, S. Kaaya, J. Todd, 2020, BMJ Open.

Tick size and stock returns

K. Kaski, J. Onnela, J. Töyli, 2009 .

Sociodemographic characteristics of missing data in digital phenotyping

Jarvis T. Chen, R. Buckner, N. Krieger, 2021, Scientific Reports.

ERRATUM: Using sociometers to quantify social interaction patterns

Benjamin N. Waber, D. Lazer, A. Pentland, 2014, Scientific Reports.

Framework for assessing and easing global COVID-19 travel restrictions

K. Mengersen, A. Mira, J. Onnela, 2022, Scientific Reports.

Incorporating human mobility data improves forecasts of Dengue fever in Thailand

Jarvis T. Chen, M. Santillana, N. Krieger, 2020, medRxiv.

Incorporating human mobility data improves forecasts of Dengue fever in Thailand

M. Santillana, N. Krieger, J. Onnela, 2020, medRxiv.

Hospital Factors Associated With Interhospital Transfer Destination for Stroke in the Northeast United States

C. Camargo, J. Onnela, L. Schwamm, 2019, Journal of the American Heart Association.

Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery.

Barbara L. Smith, S. Lipsitz, A. Gawande, 2020, JAMA surgery.

Ju n 20 19 Flexible model selection for mechanistic network models

A. Mira, J. Onnela, Sixing Chen, 2019 .

Smartphone Global Positioning System (GPS) Data Enhances Recovery Assessment After Breast Cancer Surgery

Barbara L. Smith, Harrison T Reeder, S. Lipsitz, 2020, Annals of Surgical Oncology.

Using a network-based approach and targeted maximum likelihood estimation to evaluate the effect of adding pre-exposure prophylaxis to an ongoing test-and-treat trial

Patrick C. Staples, Laura B. Balzer, J. Onnela, 2017, Clinical trials.

Increase in Suicidal Thinking During COVID-19

Kelly L Zuromski, Evan M. Kleiman, J. Smoller, 2021, Clinical psychological science : a journal of the Association for Psychological Science.

Association of Physician Peer Influence With Subsequent Physician Adoption and Use of Bevacizumab

J. Onnela, N. Keating, A. J. O’Malley, 2020, JAMA network open.

Digital Phenotyping to Quantify Psychosocial Well-Being Trajectories After Spinal Cord Injury

J. Onnela, J. Taylor, J. Torous, 2020, American journal of physical medicine & rehabilitation.

Link-Space and Network Analysis

J. Onnela, N. Johnson, Chiu Fan Lee, 2007, physics/0702010.

Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics

J. Onnela, Till Hoffmann, Till Hoffmann, 2022, ArXiv.

Influence of Peer Physicians on Intensity of End-of-Life Care for Cancer Decedents

J. Onnela, N. Keating, A. J. O’Malley, 2019, Medical care.

Ischemic Stroke Transfer Patterns in the Northeast United States.

C. Camargo, J. Onnela, L. Schwamm, 2019, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Analysis of a large-scale weighted network of one-to-one human communication

A. Barabasi, K. Kaski, J. Saramäki, 2007, physics/0702158.

Dynamics of market correlations: taxonomy and portfolio analysis.

K. Kaski, J. Kertész, J. Onnela, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Characterizing Smartphone Engagement for Schizophrenia: Results of a Naturalist Mobile Health Study.

Patrick C. Staples, Luis R. Sandoval, M. Keshavan, 2017, Clinical schizophrenia & related psychoses.

Generalizations of the clustering coefficient to weighted complex networks.

Mikko Kivelä, K. Kaski, J. Saramäki, 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

Leveraging Contact Network Information in Clustered Observational Studies of Contagion Processes

Patrick C. Staples, J. Onnela, V. Gruttola, 2016, 1610.00039.

Asset Trees and Asset Graphs in Financial Markets

K. Kaski, J. Kertész, J. Onnela, 2003, cond-mat/0303579.

Not All Features are Equal: Selection of Robust Features for Speech Emotion Recognition in Noisy Environments

J. Onnela, D. Fulford, David E Gard, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers

J. Onnela, M. Straczkiewicz, Emily J. Huang, 2022, npj Digital Medicine.

Accelerating networks

J. Onnela, N. Johnson, David M. D. Smith, 2007, physics/0701339.

Leveraging contact network structure in the design of cluster randomized trials

J. Onnela, V. De Gruttola, Rui Wang, 2016, Clinical trials.

Measures of Behavior and Life Dynamics from Commonly Available GPS Data (DPLocate): Algorithm Development and Validation

R. Buckner, J. Onnela, J. Baker, 2022, medRxiv.

Smartphone GPS signatures of patients undergoing spine surgery correlate with mobility and current gold standard outcome measures.

Timothy R. Smith, J. Onnela, R. Mekary, 2021, Journal of neurosurgery. Spine.

Smartphone data during the COVID‐19 pandemic can quantify behavioral changes in people with ALS

J. Onnela, S. Paganoni, J. Berry, 2020, Muscle & nerve.

Network Automata: Coupling Structure and Function in Dynamic Networks

J. Onnela, N. Johnson, M. Fricker, 2007, Adv. Complex Syst..

Cost-based Feature Selection for Network Model Choice

J. Onnela, Louis Raynal, Till Hoffmann, 2021, J. Comput. Graph. Stat..

Selection of Summary Statistics for Network Model Choice with Approximate Bayesian Computation

J. Onnela, Louis Raynal, 2021 .

Dynamic asset trees and portfolio analysis

K. Kaski, J. Onnela, A. Chakraborti, 2002, cond-mat/0208131.

Methodology and Reporting of Mobile Health and Smartphone Application Studies for Schizophrenia

John Torous, Joseph Firth, Nora Mueller, 2017, Harvard review of psychiatry.

151. Relapse Prediction in Schizophrenia through Digital Phenotyping

John Torous, Matcheri Keshavan, Jukka-Pekka Onnela, 2018, Biological Psychiatry.

Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder

John Torous, Matcheri Keshavan, Jukka-Pekka Onnela, 2015, JMIR mental health.

State space model multiple imputation for missing data in non-stationary multivariate time series with application in digital Psychiatry

H. R. Eichi, J. Onnela, J. Baker, 2022, 2206.14343.

Combining digital pill and smartphone data to quantify medication adherence in an observational psychiatric pilot study

J. Knights, J. Onnela, J. Torous, 2022, Psychiatry Research.

Intensity and coherence of motifs in weighted complex networks.

K. Kaski, J. Saramäki, J. Kertész, 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

Ischemic Stroke Systems of Care in California: Evolution in the Organization During the Mechanical Thrombectomy Era

J. Onnela, L. Schwamm, C. Camargo, 2022, Stroke: Vascular and Interventional Neurology.

Link-Space and Network Analysis

J. Onnela, N. Johnson, Chiu Fan Lee, 2007, physics/0702010.

Clustering and information in correlation based financial networks

K. Kaski, J. Kertész, J. Onnela, 2003, cond-mat/0312682.

State space model multiple imputation for missing data in non-stationary multivariate time series with application in digital Psychiatry

Habiballah Rahimi Eichi, H. R. Eichi, J. Onnela, 2022, 2206.14343.

The WPA-Lancet Psychiatry Commission on the Future of Psychiatry.

John Torous, Matcheri Keshavan, Jukka-Pekka Onnela, 2017, The lancet. Psychiatry.

Variation in menstrual cycle length by age, race/ethnicity, and body mass index in a large digital cohort of women in the US

B. Coull, J. Onnela, A. Wilcox, 2022, medRxiv.

Covid-19 vaccination and menstrual cycle length in the Apple Women’s Health Study

B. Coull, J. Onnela, D. Baird, 2022, medRxiv.

Inferring the minimum spanning tree from a sample network

J. Onnela, J. Larson, 2021, 2102.09879.

Spectral and network methods in the analysis of correlation matrices of stock returns

K. Kaski, J. Onnela, J. Saramaki, 2007, physics/0703061.

Spectrum, Intensity and Coherence in Weighted Networks of a Financial Market

K. Kaski, J. Saramäki, J. Kertész, 2006, physics/0603196.

A Model For Social Networks

K. Kaski, J. Saramäki, J. Onnela, 2006, physics/0601114.

Attempts to conceive and the COVID-19 pandemic: data from the Apple Women’s Health Study

Sanaa H. Suharwardy, B. Coull, J. Onnela, 2022, American Journal of Obstetrics and Gynecology.

Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies

J. Onnela, J. Baker, L. Valeri, 2022, Journal of the Royal Statistical Society. Series C, Applied statistics.

A Generalized Estimating Equation Approach to Network Regression

J. Onnela, I. Barnett, R. Ghosh, 2023, 2301.04804.

Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries.

Jukka-Pekka Onnela, Antonietta Mira, Sixing Chen, 2020, Bayesian analysis.

Scalable Gaussian Process Inference with Stan

J. Onnela, Till Hoffmann, 2023, 2301.08836.

Generalizations of Edge Overlap to Weighted and Directed Networks

Jukka-Pekka Onnela, Heather Mattie, J. Onnela, 2017, 1712.07110.

Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

Jukka-Pekka Onnela, Thomas Richardson, Peter J Mucha, 2009, Science.

Edge overlap in weighted and directed social networks

Jukka-Pekka Onnela, Heather Mattie, J. Onnela, 2021, Network Science.

Introduction to Social Network Analysis

Jukka-Pekka Onnela, Alistair J. O'Malley, J. Onnela, 2017 .

Comparison of physician networks constructed from thresholded ties versus shared clinical episodes

J. Onnela, N. Keating, A. J. O’Malley, 2018, Appl. Netw. Sci..

Connected but Segregated: Social Networks in Rural Villages

Jukka-Pekka Onnela, Felipe Montes, Roberto C. Jimenez, 2018, J. Complex Networks.

Impact of degree truncation on the spread of a contagious process on networks

Jukka-Pekka Onnela, Guy Harling, J. Onnela, 2016, Network Science.

Topics in social network analysis and network science pdf

Jukka-Pekka Onnela, A. James O'Malley, J. Onnela, 2014, ArXiv.

Using Administrative Data to Identify Naturally Occurring Networks of Physicians

Jukka-Pekka Onnela, Nicholas A Christakis, Michael Lawrence Barnett, 2013, Medical care.

Taxonomies of networks from community structure.

Jukka-Pekka Onnela, Peter J Mucha, Mason A Porter, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Geographic Constraints on Social Network Groups

Jukka-Pekka Onnela, Albert-László Barabási, Nicholas A. Christakis, 2010, PloS one.

A Taxonomy of Networks

Mason A. Porter, Nick S. Jones, Jukka-Pekka Onnela, 2010 .

Flow of Control in Networks

J.-P. J. Onnela, J. Onnela, 2014, Science.

Assessment of Racial Disparities in Primary Care Physician Specialty Referrals

J. Onnela, N. Keating, A. J. O’Malley, 2021, JAMA network open.

The impact of sampling patients on measuring physician patient-sharing networks using Medicare data.

Jukka-Pekka Onnela, A James O'Malley, Nancy L Keating, 2020, Health services research.

Structure and tie strengths in mobile communication networks

A-L Barabási, J-P Onnela, J Saramäki, 2006, Proceedings of the National Academy of Sciences.

A comparative study of social network models: Network evolution models and nodal attribute models

Jari Saramäki, Jukka-Pekka Onnela, Kimmo Kaski, 2008, Soc. Networks.

Emergence of communities in weighted networks.

Jari Saramäki, Jukka-Pekka Onnela, Kimmo Kaski, 2007, Physical review letters.

Link-space formalism for network analysis.

Jukka-Pekka Onnela, Neil F Johnson, J. Onnela, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

The role of edge weights in social networks: modelling structure and dynamics

Jari Saramäki, Kimmo Kaski, János Kertész, 2007, SPIE International Symposium on Fluctuations and Noise.

Characterizing the Clinical Relevance of Digital Phenotyping Data 1 Quality with Applications to a Cohort with Schizophrenia 2 3

John Torous, Matcheri Keshavan, Jukka-Pekka Onnela, 2018 .

Abnormal uterine bleeding patterns determined through menstrual tracking among participants in the Apple Women’s Health Study

Sanaa H. Suharwardy, B. Coull, J. Onnela, 2022, American journal of obstetrics and gynecology.

Feasibility and performance of smartphone-based daily micro-surveys among patients recovering from cancer surgery

A. Haynes, J. Onnela, N. Panda, 2021, Quality of Life Research.

Expected Versus Experienced Health-Related Quality of Life Among Patients Recovering From Cancer Surgery

S. Lipsitz, A. Haynes, J. Onnela, 2021, Annals of surgery open : perspectives of surgical history, education, and clinical approaches.

Smartphone-based Assessment of Preoperative Decision Conflict and Postoperative Physical Activity Among Patients Undergoing Cancer Surgery

S. Lipsitz, A. Haynes, J. Onnela, 2020, Annals of surgery.

Biomarker correlation network in colorectal carcinoma by tumor anatomic location

Jukka-Pekka Onnela, Peter Kraft, John Quackenbush, 2017, BMC Bioinformatics.

Patient-Sharing Networks of Physicians and Health Care Utilization and Spending Among Medicare Beneficiaries

Jukka-Pekka Onnela, Nicholas A. Christakis, Alan M. Zaslavsky, 2018, JAMA internal medicine.

Bias in Epidemiological Studies of Conflict Mortality

Gesine Reinert, Jukka-Pekka Onnela, Neil F. Johnson, 2006 .

Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life.

J. Onnela, I. Barnett, D. Cote, 2019, World neurosurgery.

Incorporating Contact Network Structure in Cluster Randomized Trials

Jukka-Pekka Onnela, Elizabeth L. Ogburn, Patrick C. Staples, 2015, Scientific Reports.

Competition for Popularity in Bipartite Networks

Mason A. Porter, Jukka-Pekka Onnela, Mariano Beguerisse-Díaz, 2009, Chaos.

Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies

Timothy A. Miller, J. Onnela, S. Paganoni, 2021, JMIR mHealth and uHealth.

Estimating longitudinal depressive symptoms from smartphone data in a transdiagnostic cohort

Patrick C. Staples, J. Onnela, R. Perlis, 2022, Brain and behavior.

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

John Torous, Jukka-Pekka Onnela, Mathew V Kiang, 2016, JMIR mental health.

New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices

M. Keshavan, J. Onnela, J. Torous, 2017, Translational Psychiatry.

ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation

Jukka-Pekka Onnela, Marcel Schöngens, Antonietta Mira, 2017, PASC.

Simulations for designing and interpreting intervention trials in infectious diseases

Alessandro Vespignani, Jukka-Pekka Onnela, Marc Lipsitch, 2017, bioRxiv.

Competition for Popularity in Catalog Networks

Mason A. Porter, Mariano Beguerisse-Díaz, Jukka-Pekka Onnela, 2009 .

Perceptions of Mobile Health Technology in Elective Surgery

A. Haynes, J. Onnela, M. Brindle, 2021, Annals of surgery.

The AURORA Study: A Longitudinal, Multimodal Library of Brain Biology and Function after Traumatic Stress Exposure

Daniel J Buysse, Christopher W. Jones, R. Swor, 2019, Molecular Psychiatry.

Passive data collection and use in healthcare: A systematic review of ethical issues

Jukka-Pekka Onnela, Nicole A Maher, Joeky T Senders, 2019, Int. J. Medical Informatics.

Opportunities and challenges in the collection and analysis of digital phenotyping data

Jukka-Pekka Onnela, J. Onnela, 2020, Neuropsychopharmacology.

Social and Spatial Clustering of People at Humanity’s Largest Gathering

Jukka-Pekka Onnela, Ian Barnett, Tarun Khanna, 2016, PloS one.

Spreading paths in partially observed social networks

Jukka-Pekka Onnela, Nicholas A. Christakis, N. Christakis, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Understanding the Demographics of Twitter Users

Sune Lehmann, Jukka-Pekka Onnela, Yong-Yeol Ahn, 2011, ICWSM.

Daily Pain Prediction Using Smartphone Speech Recordings of Patients With Spine Disease

J. Onnela, A. Rana, F. Siddi, 2023, Neurosurgery.

Affiliation network model of HIV transmission in MSM

J. Onnela, J. Larson, 2020, 2004.06145.

Beiwe: A data collection platform for high-throughput digital phenotyping

J. Onnela, Caleb Dixon, K. Griffin, 2021, J. Open Source Softw..

Complex networks in the study of financial and social systems

Jukka-Pekka Onnela, J. Onnela, 2006 .

Model of community emergence in weighted social networks

Jari Saramäki, Jukka-Pekka Onnela, Kimmo Kaski, 2009, Comput. Phys. Commun..

Title : Leveraging contact network structure in the design of cluster randomized trials Running Head : Network structured designs for cluster trials

Rui Wang, Jukka-Pekka Onnela, Guy Harling, 2016 .

Characterizing Motifs in Weighted Complex Networks

Jari Saramäki, Kimmo Kaski, Jukka-Pekka Onnela, 2005 .

Understanding tie strength in social networks using a local “bow tie” framework

Jukka-Pekka Onnela, Rich Ling, Kenth Engø-Monsen, 2018, Scientific Reports.

Bayesian inference of spreading processes on networks

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka Onnela, 2017, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Leveraging Contact Network Information in Clustered Randomized Studies of Contagion Processes

Patrick C. Staples, J. Onnela, V. DeGruttola, 2016, Observational Studies.

Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions

J. Onnela, D. Fulford, David E Gard, 2021, Interspeech.

Inferring mobility measures from GPS traces with missing data.

Jukka-Pekka Onnela, Ian Barnett, J. Onnela, 2016, Biostatistics.

Influence of a patient transfer network of US inpatient facilities on the incidence of nosocomial infections

Jukka-Pekka Onnela, Juan Fernández-Gracia, Víctor M Eguíluz, 2017, Scientific Reports.

Spread of Pathogens in the Patient Transfer Network of US Hospitals

Víctor M. Eguíluz, Nicholas A. Christakis, Juan Fernández-Gracia, 2015, SBP-BRiMS.

Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data

John Torous, Jukka-Pekka Onnela, Ian Barnett, 2018, J. Am. Medical Informatics Assoc..

Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures

J. Onnela, A. Lahav, M. Straczkiewicz, 2023, npj Digital Medicine.

Menstrual cycle length variation by demographic characteristics from the Apple Women’s Health Study

B. Coull, J. Onnela, A. Wilcox, 2023, npj Digit. Medicine.

A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network

Jukka-Pekka Onnela, Sixing Chen, J. Onnela, 2018, Scientific Reports.

Can mHealth interventions improve quality of life of cancer patients? A systematic review and meta-analysis

J. Onnela, R. Mekary, A. Bunevičius, 2020, Critical Reviews in Oncology/Hematology.

The HOPE Pilot Study: Harnessing Patient-Reported Outcomes and Biometric Data to Enhance Cancer Care.

Patrick C. Staples, J. Onnela, N. Keating, 2018, JCO clinical cancer informatics.

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka Onnela, 2017, J. Stat. Softw..

Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data

Emily Huang, Jukka-Pekka Onnela, J. Onnela, 2019, Sensors.

Decision Models and Technology Can Help Psychiatry Develop Biomarkers

Karl J. Friston, Albert R. Powers, P. Fox, 2021, Frontiers in Psychiatry.

Harnessing digital technology to predict, diagnose, monitor, and develop treatments for brain disorders

J. Onnela, H. Manji, C. Stroud, 2019, npj Digital Medicine.

Bayesian Inference of Network Epidemics

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka “Jp” Onnela, 2017 .

Machine Learning and the Digital Measurement of Psychological Health.

J. Onnela, I. Galatzer-Levy, 2023, Annual review of clinical psychology.

Bidirectional imputation of spatial GPS trajectories with missingness using sparse online Gaussian Process

Jukka-Pekka Onnela, Gang Liu, J. Onnela, 2021, J. Am. Medical Informatics Assoc..

Examining SARS-CoV-2 Interventions in Residential Colleges Using an Empirical Network

J. Onnela, R. Kahn, H. Hambridge, 2021, International Journal of Infectious Diseases.

Leveraging Contact Network Information in Clustered Randomized Trials of Infectious Processes

Patrick C. Staples, J. Onnela, M. Prague, 2016 .

Flexible model of network embedding

Juan Fernández-Gracia, Jukka-Pekka Onnela, J. Onnela, 2018, Scientific Reports.

Bayesian method for inferring the impact of geographical distance on intensity of communication

Jukka-Pekka Onnela, Victor DeGruttola, Fei Ozga, 2018, Scientific Reports.

Returning Individual Research Results from Digital Phenotyping in Psychiatry

Adam S. Miner, Francis X. Shen, C. Grady, 2023, The American journal of bioethics : AJOB.

A crossroad for validating digital tools in schizophrenia and mental health

John Torous, Matcheri Keshavan, Jukka-Pekka Onnela, 2018, npj Schizophrenia.

Determining sample size and length of follow-up for smartphone-based digital phenotyping studies

John Torous, Jukka-Pekka Onnela, Ian Barnett, 2020, J. Am. Medical Informatics Assoc..

323. Utilizing Smartphones to Collect Longitudinal Digital Phenotypes in Patients with Schizophrenia

Patrick C. Staples, Luis R. Sandoval, M. Keshavan, 2017, Biological Psychiatry.

Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data

J. Onnela, Emily J. Huang, Ke-Xiao Yan, 2022, Sensors.

Online Anomaly Detection for Smartphone-Based Multivariate Behavioral Time Series Data

J. Onnela, Gang Liu, 2022, Sensors.

Combining Accelerometer and Gyroscope Data in Smartphone-Based Activity Recognition using Movelets

J. Onnela, Emily J. Huang, Ke-Xiao Yan, 2021, 2109.01118.

ASO Author Reflections: Applications of Smartphone-Based Digital Phenotyping in Supplementing Recovery Assessment After Cancer Surgery

A. Haynes, J. Onnela, N. Panda, 2020, Annals of Surgical Oncology.

Adapting a Self-Supervised Speech Representation for Noisy Speech Emotion Recognition by Using Contrastive Teacher-Student Learning

J. Onnela, D. Fulford, David E Gard, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters

J. Onnela, D. Fulford, David E Gard, 2023 .

Digital Phenotyping for the Busy Psychiatrist: Clinical Implications and Relevance

J. Onnela, J. Baker, J. Torous, 2019, Psychiatric Annals.

Taxonomies of networks from community structure.

Mason A. Porter, Nick S. Jones, Jukka-Pekka Onnela, 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments

J. Onnela, Arinbjörn Kolbeinsson, Georgios Efstathiadis, 2023, TML4H.

Feature-Based Classification of Networks pdf

Jukka-Pekka Onnela, Peter J. Mucha, Ian Barnett, 2016, ArXiv.

Examining SARS-CoV-2 Interventions in Residential Colleges Using an Empirical Network

J. Onnela, R. Kahn, H. Hambridge, 2021, medRxiv : the preprint server for health sciences.

Efficacy of SARS-CoV-2 Repeat Testing to Control Spread in Residential College Populations

J. Onnela, R. Kahn, H. Hambridge, 2021, medRxiv.

Fluctuations in behavior and affect in college students measured using deep phenotyping

R. Buckner, J. Onnela, J. Baker, 2022, Scientific Reports.

A simple generative model of collective online behavior

Mason A. Porter, James P. Gleeson, Jukka-Pekka Onnela, 2013, Proceedings of the National Academy of Sciences.

Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia

Patrick C. Staples, Luis R. Sandoval, M. Keshavan, 2018, npj Digital Medicine.

Efficient vaccination strategies for epidemic control using network information

Jukka-Pekka Onnela, Sixing Chen, Yingrui Yang, 2018, Epidemics.

Flexible model selection for mechanistic network models

Jukka-Pekka Onnela, Sixing Chen, Antonietta Mira, 2018, J. Complex Networks.

State space model multiple imputation for missing data in non-stationary multivariate time series with application in digital Psychiatry

Habiballah Rahimi Eichi, H. R. Eichi, J. Onnela, 2022, 2206.14343.

Design and results of a smartphone‐based digital phenotyping study to quantify ALS progression

James D. Berry, Sabrina Paganoni, Patrick C. Staples, 2019, Annals of clinical and translational neurology.

Scalable Gaussian Process Inference with Stan

J. Onnela, Till Hoffmann, 2023, 2301.08836.

A systematic review of human activity recognition using smartphones pdf

Jukka-Pekka Onnela, Marcin Straczkiewicz, J. Onnela, 2019, ArXiv.

Flexible model of network embedding

J. Onnela, J. Fernández-Gracia, 2018, Scientific Reports.

T h e o p e n - a c c e s s j o u r n a l f o r p h y s i c s New Journal of Physics

J. Onnela, N. Johnson, David M. D. Smith, 2007 .

Validation of an open-source smartphone step counting algorithm in clinical and non-clinical settings

J. Onnela, N. Keating, U. Matulonis, 2023, medRxiv.

Randomized trial of inosine for urate elevation in amyotrophic lateral sclerosis

J. Onnela, S. Paganoni, M. Cudkowicz, 2023, Muscle & nerve.

Intensive longitudinal assessment of mobility, social activity and loneliness in individuals with severe mental illness during COVID-19

E. Liebenthal, J. Onnela, J. Baker, 2023, Schizophrenia.

Open-source Longitudinal Sleep Analysis From Accelerometer Data (DPSleep): Algorithm Development and Validation

R. Buckner, J. Onnela, J. Baker, 2021, JMIR mHealth and uHealth.

Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery

Junwei Lu, J. Onnela, T. Smith, 2023, ArXiv.

Use of Beiwe Smartphone App to Identify and Track Speech Decline in Amyotrophic Lateral Sclerosis (ALS)

James D. Berry, Jordan R. Green, Sabrina Paganoni, 2019, INTERSPEECH.

Variation in patient-sharing networks of physicians across the United States.

Michael Lawrence Barnett, N. Christakis, J. Onnela, 2012, JAMA.

Minimising the Expected Posterior Entropy Yields Optimal Summary Statistics

J. Onnela, Till Hoffmann, 2022, 2206.02340.

Assessing the impact of colonoscopy complications on use of colonoscopy among primary care physicians and other connected physicians: an observational study of older Americans

J. Onnela, N. Keating, B. Landon, 2017, BMJ Open.

Change Point Detection in Correlation Networks

Jukka-Pekka Onnela, Ian Barnett, J. Onnela, 2014, Scientific Reports.

A pr 2 00 7 Link-Space and Network Analysis

J. Onnela, N. Johnson, Chiu Fan Lee, 2008 .

Covid-19 vaccination and menstrual cycle length in the Apple Women’s Health Study

B. Coull, J. Onnela, D. Baird, 2022, npj Digital Medicine.

Flexible Bayesian Inference on Partially Observed Epidemics.

J. Onnela, Maxwell H Wang, Maxwell H. Wang, 2023, ArXiv.

Accounting for contact network uncertainty in epidemic inferences with Approximate Bayesian Computation

J. Onnela, Maxwell H Wang, 2024, 2404.02924.

Flexible Bayesian inference on partially observed epidemics.

J. Onnela, Maxwell H Wang, 2024, Journal of complex networks.

Investigating population dynamics of the Kumbh Mela through the lens of cell phone data pdf

Jukka-Pekka Onnela, Tarun Khanna, T. Khanna, 2015, ArXiv.

Heterogeneity in suicide risk: Evidence from personalized dynamic models.

Kelly L Zuromski, J. Onnela, M. Nock, 2024, Behaviour research and therapy.

Maximum likelihood estimation for reversible mechanistic network models.

Jonathan Larson, J. Onnela, 2021, Physical review. E.

Scalable Gaussian Process Inference with Stan

J. Onnela, Till Hoffmann, 2023, 2301.08836.

The Pain Intervention & Digital Research Program: an operational report on combining digital research with outpatient chronic disease management

J. Onnela, Jennifer Kurz, Zacharia Isaac, 2024, Frontiers in pain research.

Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study

J. Onnela, U. Matulonis, E. Thompson, 2023, JMIR cancer.

Inferring mobility measures from GPS traces with missing data.

J. Onnela, I. Barnett, 2016, Biostatistics.

Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data

J. Onnela, Alison P Clark, Stephen A. Johnson, 2024, Annals of clinical and translational neurology.

DPSleep: Open-Source Longitudinal Sleep Analysis From Accelerometer Data

R. Buckner, J. Onnela, J. Baker, 2021, bioRxiv.

Smartphone sensing of social interactions in people with and without schizophrenia.

J. Onnela, D. Fulford, Jarrod Luckenbaugh, 2020, Journal of psychiatric research.

The relationship of rate and pause features to the communicative participation of people living with ALS

Hannah P. Rowe, J. Onnela, K. Connaghan, 2024, Muscle & nerve.

Menarche and Time to Cycle Regularity Among Individuals Born Between 1950 and 2005 in the US

J. Onnela, T. Fischer-Colbrie, Donna D. Baird, 2024, JAMA network open.