Although there are many studies for quantifying the academic performance of researchers, such as measuring the scientific performance based on the number of publications, there are no studies about quantifying the collaboration activities of researchers. This study addresses this shortcoming. Based on three measures, namely the collaboration network structure of researchers, the number of collaborations with other researchers, and the productivity index of co-authors, two new indices, the RC-Index and CC-Index, are proposed for quantifying the collaboration activities of researchers and scientific communities. After applying these indices on a data set generated from publication lists of five schools of information systems, this study concludes with a discussion of the shortcomings and advantages of these indices.
This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
Abbasi, A., & Altmann, J. (2009). AcaSoNet: Social network system for the academic community. TEMEP Working Paper Series, Seoul National University, South Korea.
Altmann, J., Abbasi, A., & Hwang, J. (2009). Evaluating the productivity of researchers and their communities: The RP-index and the CP-index. International Journal of Computer Science and Applications, 6(2), 104–118.
Batista, P. D., Campiteli, M. G., & Kinounchi, O. (2006). Is it possible to compare researchers with different scientific interests? Scientometrics, 68(1), 179–189.
Borgman, C., & Furner, J. (2002). Scholarly communication and bibliometrics. Annual Review of Information Science and Technology, 36, 3–72.
Braun, T., Glanzel, W., & Schubert, A. (2005). A Hirsch-type index for journals. The Scientist, 19(22), 8.
Dainesi, S. M., & Pietrobon, R. (2007). Scientific indicators of productivity: Time for action. Revista Brasileira de Psiquiatria [Online], 29(2), 100–101.
Egghe, L. (2006). Theory and practice of the g-Index. Scientometrics, 69(1), 131–152.
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
Jiang, Y. (2008). Locating active actors in the scientific collaboration communities based on interaction topology analyses. Scientometrics, 74(3), 471–482.
Jin, B. H. (2006). h-Index: An evaluation indicator proposed by scientist. Science Focus, 1(1), 8–9. (in Chinese).
Kousha, K., & Thelwall, M. (2007). Google scholar citations and Google Web/URL citations: A multi-discipline exploratory analysis. Journal of the American Society for Information Science and Technology, 58(7), 1055–1065.
Laudel, G. (2002). What do we measure by co-authorships? Research Evaluation, 11(13), 3–15.
Leclerc, M., & Gagn, J. (1994). International Scientific Cooperation: The continentalization of science. Scientometrics, 31(3), 261–292.
Lehmann, S., Jackson, A. D., & Lautrup, B. (2006). Measures for measure. Nature, 444, 1003.
Melin, G. (2000). Pragmatism and self-organization research collaboration on the individual level. Research Policy, 29(1), 31–40.
Melin, G., & Persson, O. (1996). Studying research collaboration using co-authorships. Scientometrics, 36, 363–377.
Prathap, G. (2006). Hirsch-type indices for ranking institutions’ scientific research output. Current Science, 91(11), 1439.
Ruane, F. P., & Tol, R. S. J. (2008). Rational (successive) h-indices: An application to economics in the Republic of Ireland. Scientometrics, 75(2), 395–405.
Schubert, A. (2007). Successive h-indices. Scientometrics, 70(1), 201–205.
Sidiropoulos, A., Katsaros, D., & Manolopoulos, Y. (2007). Generalized h-index for disclosing latent facts in citation networks. Scientometrics, 72(2), 253–280.
Suresh, V., Raghupathy, N., Shekar, B., & Madhavan, C. E. V. (2007). Discovering mentorship information from author collaboration networks. Lecture notes in computer science. Discovery Science, 4755, 197–208.
Tol, R. S. J. (2008). A rational, successive g-index applied to economics departments in Ireland. Journal of Informetrics, 2, 149–155.
Van Raan, A. F. J. (2006). Measuring science. In H. F. Moed, W. Glanzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research. Germany: Kluwer Academic Publishers.
Ziman, J. (1994). Prometheus bound, science in a dynamic steady state. Cambridge: Cambridge University Press.
This paper was partly funded by Ministry of Knowledge Economy of the Republic of Korea.
About this article
Cite this article
Abbasi, A., Altmann, J. & Hwang, J. Evaluating scholars based on their academic collaboration activities: two indices, the RC-index and the CC-index, for quantifying collaboration activities of researchers and scientific communities. Scientometrics 83, 1–13 (2010). https://doi.org/10.1007/s11192-009-0139-2
- Collaborative networks
- Collaboration activities
- Social network analysis
- Collaboration evaluation
- Individual and community productivity
- Collaboration measures
- Empirical data analysis