Libraries at University of Nebraska-Lincoln


Date of this Version

Fall 9-10-2019

Document Type



1. Ajiferuke I, Burrel Q and Tague J. 1988. Collaborative coefficient: A Single measure of the degree of collaboration in research. Scientometrics, Vol. 14, no.5-6: 421-33.

DOI: 10.1007/BF02017100.

2. Bornmann, L & Haunschild, R. (2018). Plots for visualizing paper impact & Journal impact of Single Researchers in a Single Plot. Scientometrics, 115, 385-394.

3. De Solla Price, D.J. (1963). Little Science, Big Science. Columbia University Press.

4. De Solla Price, D and Beaver, DB. 1966. Collaboration in an invisible college. American Psychologist Vol.21, no.11: 1011-18. DOI: 10.1037/h0024051.

5. Garfield, E. (1955). Citation Indexes for Science: A New Dimension in Documentation through Association of Ideas. Science, 122, 108-111.

6. Garfield, E., & Sher, I. H. (1963). New factors in the evaluation of scientific literature through citation indexing. American Documentation, 14, 195-201.

7. Garfield, E. (2006). The History and Meaning of the Journal Impact Factor. Journal of the American Medical Association (JAMA), 293: 90-93, January 2006.

8. Gonzala-Sala, F., Osca-Lluch, J. & Haba-Osca, J. Scientometrics (2019).

9. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. PNAS, 102, 16569–72.

10. Larsen, P.O; Von Ins, M. (2010). "The rate of growth in Scientific publication and the decline in coverage provided by science citation Index". Scientometrics. 84(3): 575-603. doi:10.1007/s11192-010-0202-z.

11. "Nature". 014 Journal Citation Reports. Web of Science (Science ed.) Thomson Reuters. 2015.

12. Watman, L., & Van Eck, N.J. (2012). The inconsistency of the h-index. Journal of the American Society for Information Science and Technology, 63(2), 406-415.


There are several metrics available for application in bibliometrics. Some of the metrics that have been considered here such as measuring growth of publications, citation impact, authorship pattern, h-index have been widely used to generate statistical analysis with respect to books, articles, publications. Now one must be aware of the pros and cons of each and every metrics used in the research. One has to be certain that there is no information that is getting lost when data about researchers and their institutions are squeezed into a tabular form of metrics. There are certain metrics that have been discussed to be replaced with other metrics to obtain more accurate interpretation of the research performance. If used otherwise it can create a hindrance to the real research performance when misused.