Measuring scientific output of researchers by t-index and Data Envelopment Analysis

There is a growing need for ranking universities, departments, research groups, and individual scholars. Usually, the scientific community measures the scientific merits of the researchers by using a variety of indicators that take into account both the productivity of scholars and the impact of their publications. We propose the t-index, the new indicator to measure the scientific merits of the individual researchers. The proposed t-index takes into account the number of citations, number of coauthors on every published paper, and career duration. The t-index makes the possible comparison of researchers at various stages of their careers. We also use in this paper the Data Envelopment Analysis (DEA) to measure the scientific merits of the individual researchers within the observed group of researchers. We chose 15 scholars in the scientific area of transportation engineering and measured their t-index values, as well as DEA scores.

[1]  Giovanni Abramo,et al.  Assessing technical and cost efficiency of research activities: A case study of the Italian university system , 2018, ArXiv.

[2]  Comparing the efficiency of Austrian universities: A data envelopment analysis application , 1998 .

[3]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[4]  Mônica G. Campiteli,et al.  Is it possible to compare researchers with different scientific interests? , 2006, Scientometrics.

[5]  Emmanuel Thanassoulis,et al.  Costs and efficiency of higher education institutions in England: a DEA analysis , 2011, J. Oper. Res. Soc..

[6]  Antreas D. Athanassopoulos,et al.  Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis , 1997 .

[7]  R. Green,et al.  AN EXPERIMENT IN THE USE OF DATA ENVELOPMENT ANALYSIS FOR EVALUATING THE EFFICIENCY OF UK UNIVERSITY DEPARTMENTS OF ACCOUNTING , 1988 .

[8]  Jill Johnes,et al.  Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis , 1993 .

[9]  Bihui Jin The AR-index: complementing the h-index , 2007 .

[10]  Vahid Garousi,et al.  Quantity versus impact of software engineering papers: a quantitative study , 2017, Scientometrics.

[11]  K. Field,et al.  Measuring the efficiency of British universities: a multi‐period data envelopment analysis , 2004 .

[12]  J. Beasley Determining Teaching and Research Efficiencies , 1995 .

[13]  M. Kosmulski A new Hirsch-type index saves time and works equally well as the original h-index , 2009 .

[14]  Emmanuel Thanassoulis,et al.  Efficiency analysis of forestry journals: Suggestions for improving journals' quality , 2013, J. Informetrics.

[15]  M. Abbott,et al.  The efficiency of Australian universities: a data envelopment analysis , 2003 .

[16]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[17]  Gabriel Kreiman,et al.  Nine Criteria for a Measure of Scientific Output , 2011, Front. Comput. Neurosci..

[18]  Ronald Rousseau,et al.  Data envelopment analysis as a tool for constructing scientometric indicators , 1997, Scientometrics.

[19]  Tindaro Cicero,et al.  A field-standardized application of DEA to national-scale research assessment of universities , 2011, J. Informetrics.

[20]  Gary Madden,et al.  Measuring Public Sector Efficiency: A Study of Economics Departments at Australian Universities , 1997 .

[21]  Per Joakim Agrell,et al.  ACADEA - A Decision Support System for Faculty Performance Reviews , 2000 .

[22]  The science that’s never been cited , 2018, Nature.

[23]  R. Rousseau,et al.  The R- and AR-indices: Complementing the h-index , 2007 .

[24]  Ronald Rousseau,et al.  New developments related to the Hirsch index , 2006 .

[25]  Geoff Harris,et al.  Relative efficiency among South African universities: A data envelopment analysis , 2004 .

[26]  Debasish Datta,et al.  The Relative Efficiencies of Canadian Universities: A DEA Perspective , 1998 .

[27]  N. Avkiran INVESTIGATING TECHNICAL AND SCALE EFFICIENCIES OF AUSTRALIAN UNIVERSITIES THROUGH DATA ENVELOPMENT ANALYSIS , 2001 .

[28]  P. Stevens,et al.  A Stochastic Frontier Analysis of English and Welsh Universities , 2005 .