The h index research output measurement: Two approaches to enhance its accuracy

Journal of Informetrics

Volumn 4, Issue 3, 2010, Pages 407-414

  Bornmann, Lutz ^a   Mutz, Rüdiger ^a   Daniel, Hans Dieter ^a,b  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Accuracy; H index; H2 center; H2 lower; H2 upper; Research output; Segmented regression model; SRM value

Indexed keywords

EID: 77956459036     PISSN: 17511577     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.joi.2010.03.005     Document Type: Article

References (40)

1. Adler R., Ewing J., Taylor P., Hall P.G. A report from the International Mathematical Union (IMU) in cooperation with the International Council of Industrial and Applied Mathematics (ICIAM) and the Institute of Mathematical Statistics (IMS). Statistical Science 2009, 24(1):1-28. 10.1214/09-sts285.
2. Anderson T., Hankin R., Killworth P. Beyond the Durfee square: Enhancing the h-index to score total publication output. Scientometrics 2008, 76(3):577-588.
3. Bang H., Mazumdar M., Spence J.D. Tutorial in biostatistics: Analyzing associations between total plasma homocysteine and B vitamins using optimal categorization and segmented regression. Neuroepidemiology 2006, 27(4):188-200. 10.1159/000096149.
4. Berman N.G., Wong W.K., Bhasin S., Ipp E. Applications of segmented regression models for biomedical studies. American Journal of Physiology-Endocrinology and Metabolism 1996, 33(4):E723-E732.
5. Bornmann L., Daniel H.-D. What do we know about the h index?. Journal of the American Society for Information Science and Technology 2007, 58(9):1381-1385.
6. Bornmann L., Daniel H.-D. The state of h index research. Is the h index the ideal way to measure research performance?. EMBO Reports 2009, 10(1):2-6.
7. Bornmann L., Mutz R., Daniel H.-D. Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. Journal of the American Society for Information Science and Technology 2008, 59(5):830-837.
8. Bornmann L., Mutz R., Daniel H.-D. Do we need the h index and its variants in addition to standard bibliometric measures?. Journal of the American Society for Information Science and Technology 2009, 60(6):1286-1289.
9. Bornmann L., Mutz R., Daniel H.-D., Wallon G., Ledin A. Are there really two types of h index variants? A validation study by using molecular life sciences data. Research Evaluation 2009, 18(3):185-190.
10. Bornmann L., Mutz R., Neuhaus C., Daniel H.-D. Use of citation counts for research evaluation: Standards of good practice for analyzing bibliometric data and presenting and interpreting results. Ethics in Science and Environmental Politics 2008, 8:93-102. 10.3354/esep00084.
11. Bornmann L., Wallon G., Ledin A. Does the committee peer review select the best applicants for funding? An investigation of the selection process for two European Molecular Biology Organization programmes. PLoS One 2008, 3(10):e3480.
12. Bornmann L., Wallon G., Ledin A. Is the h index related to (standard) bibliometric measures and to the assessments by peers? An investigation of the h index by using molecular life sciences data. Research Evaluation 2008, 17(2):149-156.
13. Burrell Q.L. On the h-index, the size of the Hirsch core and Jin's A-index. Journal of Informetrics 2007, 1(2):170-177.
14. Cole S, Cole J.R. Scientific output and recognition: A study in operation of reward system in science. American Sociological Review 1967, 32(3):377-390.
15. Egghe L. Lotkaian informetrics: an introduction. Power laws in the information production process: Lotkaian informetrics 2005, Elsevier Academic Press, Kidlington, UK.
16. Evidence Ltd. An indicator process. The use of bibliometrics to measure research quality in UK higher education institutions 2007, Universities UK, London, UK.
17. Franceschini F., Maisano D.A. Analysis of the Hirsch index's operational properties. European Journal of Operational Research 2010, 203(2):494-504. 10.1016/j.ejor.2009.08.001.
18. Ga{ogonek}golewski M., Grzegorzewski P. A geometric approach to the construction of scientific impact indices. Scientometrics 2009, 81(3):617-634. 10.1007/s11192-008-2253-y.
19. Gallant A.R., Fuller W.A. Fitting segmented polynomial regression models whose join points have to be estimated. Journal of the American Statistical Association 1973, 68(341):144-147.
20. García-Pérez M. A multidimensional extension to Hirsch's h-index. Scientometrics 2009, 81(3):779-785. 10.1007/s11192-009-2290-1.
21. Hirsch J.E. An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America 2005, 102(46):16569-16572.
22. Hirsch J.E. Does the h index have predictive power?. Proceedings of the National Academy of Sciences of the United States of America 2007, 104(49):19193-19198. 10.1073/pnas.0707962104.
23. Jin B., Liang L., Rousseau R., Egghe L. The R- and AR-indices: Complementing the h-index. Chinese Science Bulletin 2007, 52(6):855-863.
24. Joint Committee on Quantitative Assessment of Research Citation statistics. A report from the International Mathematical Union (IMU) in cooperation with the International Council of Industrial and Applied Mathematics (ICIAM) and the Institute of Mathematical Statistics (IMS) 2008, International Mathematical Union (IMU), Berlin, Germany.
25. Kim H.J., Yu B., Feuer E.J. Inference in segmented line regression: A simulation study. Journal of Statistical Computation and Simulation 2008, 78(11):1087-1103. 10.1080/00949650701528461.
26. Kim Y.-M. Validation of psychometric research instruments: The case of information science. Journal of the American Society for Information Science and Technology 2009, 60(6):1178-1191.
27. Ledin A., Bornmann L., Gannon F., Wallon G. A persistent problem. Traditional gender roles hold back female scientists. EMBO Reports 2007, 8(11):982-987.
28. Lehmann S., Jackson A., Lautrup B. A quantitative analysis of indicators of scientific performance. Scientometrics 2008, 76(2):369-390.
29. Lehmann S., Jackson A.D., Lautrup B.E. Measures for measures. Nature 2006, 444(7122):1003-1004.
30. Leydesdorff L. How are new citation-based journal indicators adding to the bibliometric toolbox?. Journal of the American Society for Information Science and Technology 2009, 60(7):1327-1336.
31. Mutz R., Guilley E., Sauter U.H., Nepveu G. Modelling juvenile-mature wood transition in Scots pine (Pinus sylvestris L.) using nonlinear mixed-effects models. Annals of Forest Science 2004, 61(8):831-841. 10.1051/forest:2004084.
32. Panaretos J., Malesios C. Assessing scientific research performance and impact with single indices. Scientometrics 2009, 81(3):635-670. 10.1007/s11192-008-2174-9.
33. Rousseau R. New developments related to the Hirsch index. Science Focus 2006, 1(4):23-25.
34. ® 9.2 user's guide 2009, SAS Institute Inc., Cary, NC, USA.
35. Sauter U.H., Mutz R., Munro B.D. Determining juvenile-mature wood transition in Scots pine using latewood density. Wood and Fiber Science 1999, 31(4):416-425.
36. Seglen P.O. The skewness of science. Journal of the American Society for Information Science 1992, 43(9):628-638.
37. van Eck N.J., Waltman L. Generalizing the h- and g-indices. Journal of Informetrics 2008, 2(4):263-271.
38. Wohlin C. A new index for the citation curve of researchers. Scientometrics 2009, 81(2):521-533. 10.1007/s11192-008-2155-z.
39. Zhan M., Dean C.B., Routledge R., Gallaugher P., Farrell A.P., Thorarensen H. Inference on segmented polynomial models. Biometrics 1996, 52(1):321-327.
40. Zhang C.T. The e-index, complementing the h-index for excess citations. PLoS ONE 2009, 4(5).