MAPPING KNOWLEDGE DOMAIN OF “TRANSPORT”: A BIBLIOMETRIC STUDY OF ITS STATUS QUO AND EMERGING TRENDS

Transport plays an important role in human society. Due to its significance, the research journal TRANSPORT was established with the aim of developing and reinforcing the performance of national transport system based on theoretical and empirical investigations. The analyses such as transport policy, transport system fundamentals, multiple transport methods and traffic safety are all within the research scope of TRANSPORT. Therefore, this paper focuses on learning the development of this multidisciplinary journal by using the bibliometric tools. After analysing 704 papers published from January 2007 to June 2019 on TRANSPORT, the development of this journal is comprehensively analysed from the perspectives of its status quo and emerging trends. Specifically, the current status is introduced based on the general journal information, the publication and citation number, the citation structure and the significant contributors in terms of author, journal, institution and country. As for the emerging trends, the citation burst detections and the timeline view analysis are presented to give some deep insights of the hot research streams in certain time periods. This paper makes the contribution to provide a knowledge map of the journal TRANSPORT’s research domain to help researchers learn this journal and transport-related issues clearly and directly. It can be also considered as the reference source for further investigations.

[1]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[2]  Jimei Zhang,et al.  Bibliometric and review of the research on circular economy through the evolution of Chinese public policy , 2018, Scientometrics.

[3]  Francisco Veloso,et al.  Using co-authorship and citation analysis to identify research groups: a new way to assess performance , 2016, Scientometrics.

[4]  Zeshui Xu,et al.  A bibliometric analysis of Fuzzy Optimization and Decision Making (2002–2017) , 2018, Fuzzy Optim. Decis. Mak..

[5]  Henrikas Sivilevičius,et al.  Modelling the interaction of transport system elements , 2011 .

[6]  Mike Simpson,et al.  Decision support systems for sustainable logistics: a review and bibliometric analysis , 2017, Ind. Manag. Data Syst..

[7]  Loet Leydesdorff,et al.  How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study , 2013, Scientometrics.

[8]  R. Audi.  The Cambridge Dictionary of Philosophy , 1995 .

[9]  Geoffrey Qiping Shen,et al.  Mapping the knowledge domains of value management: a bibliometric approach , 2019, Engineering, Construction and Architectural Management.

[10]  Zeshui Xu,et al.  Bibliometric analysis of support vector machines research trend: a case study in China , 2019, International Journal of Machine Learning and Cybernetics.

[11]  I. Díaz,et al.  Use of H-Index and Other Bibliometric Indicators to Evaluate Research Productivity Outcome on Swine Diseases , 2016, PloS one.

[12]  Chaomei Chen,et al.  Searching for intellectual turning points: Progressive knowledge domain visualization , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Zeshui Xu,et al.  Bibliometric analysis on the evolution of applied intelligence , 2018, Applied Intelligence.

[14]  Edmundas Kazimieras Zavadskas,et al.  Multi‐objective decision‐making for road design , 2008 .

[15]  Andy Wai Kan Yeung,et al.  The Changing Landscape of Neuroscience Research, 2006–2015: A Bibliometric Study , 2017, Front. Neurosci..

[16]  Tomaz Bartol,et al.  Digital competences, computer skills and information literacy in secondary education: mapping and visualization of trends and concepts , 2018, Scientometrics.

[17]  Muaz A. Niazi,et al.  Agent-based computing from multi-agent systems to agent-based models: a visual survey , 2011, Scientometrics.

[18]  Nees Jan van Eck,et al.  Bibliometric mapping of computer and information ethics , 2011, Ethics and Information Technology.

[19]  Ludo Waltman,et al.  Vos: A New Method for Visualizing Similarities between Objects , 2006, GfKl.

[20]  Xi Zhang,et al.  From e-learning to social-learning: Mapping development of studies on social media-supported knowledge management , 2015, Comput. Hum. Behav..

[21]  Paul Serban Agachi,et al.  Review: Important contributions in development and improvement of the heat integration techniques , 2010, Comput. Chem. Eng..

[22]  Chaomei Chen,et al.  Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace , 2012, Expert opinion on biological therapy.

[23]  Bei Shi,et al.  Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis , 2018, BMC Ophthalmology.

[24]  Jon M. Kleinberg,et al.  Bursty and Hierarchical Structure in Streams , 2002, Data Mining and Knowledge Discovery.

[25]  Zeshui Xu,et al.  THE EVOLUTION OF "TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY“: A BIBLIOMETRIC ANALYSIS , 2019, Technological and Economic Development of Economy.

[26]  E. Zavadskas,et al.  A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location , 2010 .

[27]  W. Sweileh,et al.  Global research trends of World Health Organization’s top eight emerging pathogens , 2017, Globalization and Health.