Skip to main content
Log in

A new index for assessing faculty research performance in higher educational institutions of emerging economies such as India

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Evaluating and quantifying the scientific output of a researcher is a complex problem that may not benefit from standardized or uniformly accepted solutions. Over the past few decades, various indices, including the most popular h-index, have been introduced for assessing the output and quality of research publications. The uniform application of a single index to researchers with varying age, tenure, gender, economies, funding opportunities, nature of tasks performed, etc., can introduce significant bias, eventually leading to inappropriate assessment results for promotion and tenure. Further, no indices explicitly account for the time spent on teaching-related tasks, advising students for their projects not necessarily resulting in publications, and administration work leading to a situation that favors colleagues who are focused only on research. A new metric, called GG-index, for internal use by institutions of higher education, is proposed to evaluate researchers who have spent a minimum of five continuous years at the academic/research institution. This GG-index is calculated from the h-index, the logarithm of the scientific tenure, citations/paper over the recent 5-year period, and a correction factor that considers the relative dedication to research and the researcher’s field. A survey was conducted of some top researchers in various fields, and their publication parameters and responses are used to illustrate the robustness and characteristics of the GG-index. We further demonstrate how the GG-index complements the h-index and helps mitigate the bias against researchers with long-term breaks for maternity, childcare, and other personal reasons. Further, young researchers with good recent publication impact (reflected by high citations per paper) and those working in fields with low citations would also be benefited. It is, however, to be noted that the GG index strongly relies on data available with the institutions, thus making it suitable for the internal assessment of faculty/researchers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Bollen, J., Van de Sompel, H., Hagberg, A., & Chute, R. (2009). A principal component analysis of 39 scientific impact measures. PLoS ONE, 4(6), e6022.

    Article  Google Scholar 

  • Bornmann, L., & Daniel, H. D. (2009). The state of h index research: Is the h index the ideal way to measure research performance? EMBO Reports, 10(1), 2–6.

    Article  Google Scholar 

  • Czarnecki, L., Kaźmierkowski, M., & Rogalski, A. (2013). Doing Hirsch proud; shaping H-index in engineering sciences. Bulletin of the Polish Academy of Sciences Technical Sciences, 61(1), 5–21.

    Article  Google Scholar 

  • De Groote, S. L., & Dorsch, J. L. (2003). Measuring use patterns of online journals and databases. Journal of the Medical Library Association, 91(2), 231.

    Google Scholar 

  • Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131–152.

    Article  MathSciNet  Google Scholar 

  • Garfield, E. (2005). The agony and the ecstasy—The history and meaning of the journal impact factor. Journal of Biological Chemistry, 295, 1–22.

    Google Scholar 

  • Glänzel, W. (2006). On the h-index—A mathematical approach to a new measure of publication activity and citation impact. Scientometrics, 67(2), 315–321.

    Article  Google Scholar 

  • Greenwood, D. C. (2007). Reliability of journal impact factor rankings. BMC Medical Research Methodology, 7(1), 1–6.

    Article  MathSciNet  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Iglesias, J., & Pecharromán, C. (2007). Scaling the h-index for different scientific ISI fields. Scientometrics, 73(3), 303–320.

    Article  Google Scholar 

  • Imperial, J., & Rodríguez-Navarro, A. (2007). Usefulness of Hirsch’s h-index to evaluate scientific research in Spain. Scientometrics, 71(2), 271–282.

  • Ioannidis, J. P., Klavans, R., & Boyack, K. W. (2016). Multiple citation indicators and their composite across scientific disciplines. PLoS Biology, 14(7), e1002501.

    Article  Google Scholar 

  • Ioannidis, J. P., Baas, J., Klavans, R., & Boyack, K. W. (2019). A standardized citation metrics author database annotated for scientific field. PLoS Biology, 17(8), e3000384.

    Article  Google Scholar 

  • Jin, B., Liang, L., Rousseau, R., & Egghe, L. (2007). The R-and AR-indices: Complementing the h-index. Chinese Science Bulletin, 52(6), 855–863.

    Article  Google Scholar 

  • Mitra, P. (2006). Hirsch-type indices for ranking institutions scientific research output. Current Science, 91(11), 1439.

    Google Scholar 

  • Prathap, G., & Gupta, B. (2009). Ranking of Indian universities for their research output and quality using a new performance index. Current Science, 97(6), 751–752.

    Google Scholar 

  • Radicchi, F., & Castellano, C. (2012). A reverse engineering approach to the suppression of citation biases reveals universal properties of citation distributions. PLoS ONE, 7(3), e33833.

    Article  Google Scholar 

  • Raghuraman, K., Chander, R., & Madras, G. (2010). Scientometric analysis of some disciplines: Comparison of Indian institutions with other international institutions. Current Science, 99, 577–587.

    Google Scholar 

  • Rossner, M., Van Epps, H., & Hill, E. (2008). Show me the data. Rockefeller University Press.

    Book  Google Scholar 

  • Satyanarayana, K., & Sharma, A. (2008). Impact factor: Time to move on. Indian Journal of Medical Research, 127(1), 4–7.

    Google Scholar 

  • Schreiber, M. (2008). A modification of the h-index: The hm-index accounts for multi-authored manuscripts. Journal of Informetrics, 2(3), 211–216.

  • Seglen, P. O. (1997). Why the impact factor of journals should not be used for evaluating research. BMJ, 314(7079), 497.

    Article  Google Scholar 

  • Simko, I. (2015). Analysis of bibliometric indicators to determine citation bias. Palgrave Communications, 1(1), 1–9.

    Article  Google Scholar 

  • University Grants Commission of India. Notification; No. F. 1–2/2009 (EC/PS) V(i) Vol.-II. Retrieved May 12, 2022, from https://www.ugc.ac.in/pdfnews/8377302_English.pdf

Download references

Acknowledgements

The authors gratefully appreciate the contributions of all the researchers who agreed to participate in the survey, without whose contributions and willingness the definition of the index would not have been possible. We acknowledge various bibliometric portals, which have been used to collect publication-related data for the various researchers. Dr. Stefie J. Stephen has generously helped systematically arrange the data, compute the various indices for different researchers and perform important calculations. The authors are also thankful to Prof. Koshy Varghese for the initial discussion and valuable suggestions, and to the IJS group of colleagues for fruitful discussions and constant encouragement. Authors are grateful to two anonymous referees for their valuable suggestions and comments during the review process. 

Funding

The authors received no specific funding for this work.

Author information

Authors and Affiliations

Authors

Contributions

RG and SSG conceived the idea and designed the research. SSG carried out the data analysis of the survey with help from RG. RG and SSG interpreted the results and performed further analysis. RG wrote the first draft of the manuscript with equal contribution from SSG in the several subsequent iterations.

Corresponding author

Correspondence to Ravindra Gettu.

Ethics declarations

Conflict of interest

Authors declare no conflict of interest.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (XLSX 34 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gunthe, S.S., Gettu, R. A new index for assessing faculty research performance in higher educational institutions of emerging economies such as India. Scientometrics 127, 4959–4976 (2022). https://doi.org/10.1007/s11192-022-04460-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-022-04460-0

Keywords

Navigation