Comparative study of scaling parameters and research output of selected highly- and moderately-cited individual authors

Keshra Sangwal

k.sangwal@pollub.pl
Lublin University of Technology (Poland)

Abstract

The real data of cumulative citations ln of selected nth paper of individual N papers published by some highly- and moderately-cited individual authors are analyzed to compare Hirsch and Hirsch-type indices h, h1, hf and hm, and citation radii R and Rf from consideration of: (1) the number An of coauthors of the paper, (2) the normalization of citations ln and cumulative fraction lnf of citation of the nth paper by mean and median citations of the citations ln of all Nc cited papers, and (3) the determination of effective rank neff of the lnf citations. Analysis of the ln(n), lnf(n) and lnf(neff) data was also carried out by using a Langmuir-type function l = l0[1-aKn/(1+Kn)], where l denotes the citations ln and lnf of all cited Nc papers arranged in the decreasing order, a is an effectiveness parameter, K is the so-called Langmuir constant, n denotes the rank n or neff of citations and l0 is the value of l when n or neff approaches zero. For a comparison of the publication output of different authors it was found that the hm index is more consistent than other indices, and it can be normalized to account for the publication career of different authors. However, Langmuir-type function is not adequate for comparison of the publication output of different authors because it describes the rank-order distribution patterns satisfactorily in terms of two parameters. To compare the publication output of different authors independent of their career length t, it is suggested to use scaling parameters h/t, hf/t and hm/t.


Keywords:

Citation analysis; Citation distribution; Coauthorship; h-type indices; Langmuir-type function

J.E. Hirsch, An index to quantify an individual’s scientific research output, Proceedings of the National academy of Sciences of the United States of America 102(46) (2005) 16569-16572.
DOI: https://doi.org/10.1073/pnas.0507655102   Google Scholar

M. Kosmulski, A new Hirsch-type index saves time and works equally well as the original h-index, ISSI Newsletter 2(3) (2006) 4-6.
  Google Scholar

B. Jin, L. Liang, R. Rousseau, L. Egghe, The R- and AR-indices: complementing the h-index, Chinese Sci-ence Bulletin 52(6) (2007) 855-863.
DOI: https://doi.org/10.1007/s11434-007-0145-9   Google Scholar

S. Alonso, F. Cabrerizo, E. Herrera-Viedma, F. Herrera, h-index: A review focused in its variants, computation and standardization for different scientific fields, Journal of Informetrics 3(4) (2009) 273-280.
DOI: https://doi.org/10.1016/j.joi.2009.04.001   Google Scholar

T.R. Anderson, R.K.S. Hankin, P.D. Killworth, Beyond the Durfee square: Enhancing the h-index to score total publication output, Scientometrics 76(3) (2008) 577-588.
DOI: https://doi.org/10.1007/s11192-007-2071-2   Google Scholar

Q.L. Burrell, On Hirsch’s h, Egghe’s g and Kosmulski’s h(2). Scientometrics 79(1) (2009) 79-91.
DOI: https://doi.org/10.1007/s11192-009-0405-3   Google Scholar

L. Egghe, Characteristic scores and scales based on h-type indices. Journal of Informetrics 4(1) (2010) 14–22.
DOI: https://doi.org/10.1016/j.joi.2009.06.001   Google Scholar

F. Franceschini, D. Maisano, The Hirsch spectrum: a novel tool for analyzing scientific journals, Journal of Informetrics 4(1) (2010) 64-73.
DOI: https://doi.org/10.1016/j.joi.2009.08.003   Google Scholar

F. Franceschini, D. Maisano, The citation triad: an overview of a scientist’s publication output based on Ferrers diagrams, Journal of Informetrics 4(4) (2010) 503-511.
DOI: https://doi.org/10.1016/j.joi.2010.05.004   Google Scholar

W. Glänzel, A. Schubert, Hirsch-type characteristics of the tail of distributions. The generalized h-index, Journal of Informetrics 4(1) (2010) 118-123.
DOI: https://doi.org/10.1016/j.joi.2009.10.002   Google Scholar

A. Tietze, P. Hofmann, The h-index and multi-author hm-index for individual researchers in condensed matter physics, Scientometrics 119 (2019) 171-185.
DOI: https://doi.org/10.1007/s11192-019-03051-w   Google Scholar

M. Ameer, M.T. Afzal, Evaluation of h-index and its qualitative and quantitative variants in Neuroscience, Scientometrics 121 (2019) 653-673.
DOI: https://doi.org/10.1007/s11192-019-03209-6   Google Scholar

S. Li, H. Shen, P. Bao, X, Cheng, hu-index: a unified index to quantify individuals across disciplines, Scientometrics 126 (2021) 3209-3226.
DOI: https://doi.org/10.1007/s11192-021-03879-1   Google Scholar

M. Kosmulski, New seniority-independent Hirsh-type index, Journal of Informetrics 3(4) (2009) 341-347.
DOI: https://doi.org/10.1016/j.joi.2009.05.003   Google Scholar

H.A. Abt, A publication index that is independent of age, Scientometrics 91(3) (2011) 1053-1058.
  Google Scholar

R. Mannella, P. Rossi, On the time dependence of the h-index, Journal of Informetrics 7(1) (2013) 176-182.
DOI: https://doi.org/10.1016/j.joi.2012.10.003   Google Scholar

D. Pradhan, P.S. Paul, U. Maheswari, S. Nandi, T. Chakraborty, C3-index: a PageRank based multi-faceted metric for authors’ performance measurement, Scientometrics 110 (2017) 253–273.
DOI: https://doi.org/10.1007/s11192-016-2168-y   Google Scholar

P.D. Batista, M.G. Campiteli, O. Kinouchi, & A.S. Martinez, Is it possible to compare researchers with different scientific interests?, Scientometrics 68(1) (2006) 179-189.
DOI: https://doi.org/10.1007/s11192-006-0090-4   Google Scholar

M. Ausloos, A simple law about co-authors and their ranking: The co-author core, Scientometrics 95(3) (2013) 895-909
DOI: https://doi.org/10.1007/s11192-012-0936-x   Google Scholar

D.D.S. Price, Multiple authorship, Science 212(4498) (1981) 986.
DOI: https://doi.org/10.1126/science.212.4498.986.b   Google Scholar

S.E. Hodge, D.A. Greenberg, Publication credit, Science 212(4498) (1981) 950.
DOI: https://doi.org/10.1126/science.213.4511.950.b   Google Scholar

P. Vinkler, Research contribution, authorship and team cooperativeness, Scientometrics 26(1) (1993) 213-230.
DOI: https://doi.org/10.1007/BF02016801   Google Scholar

A.F. Pereira de Araújo, Increasing discrepancy between absolute and effective indexes of research output in a Brazilian academic department, Scientometrics 74(3) (2008) 425-437.
DOI: https://doi.org/10.1007/s11192-007-1817-6   Google Scholar

N. Assimakis, M. Adam, A new author’s productivity index: p-index, Scientometrics 85(2) (2010) 415-427.
DOI: https://doi.org/10.1007/s11192-010-0255-z   Google Scholar

R.S.J. Tol, Credit where credit’s due: accounting for co-authorship in citation counts, Scientometrics 89(1) (2011) 291-299.
DOI: https://doi.org/10.1007/s11192-011-0451-5   Google Scholar

S. Sahoo, Analyzing research performance: proposition of a new complementary index, Scientometrics 108(2) (2016) 489-504.
DOI: https://doi.org/10.1007/s11192-016-1988-0   Google Scholar

J.-W. Hsu, D.-W. Huang, Correlation between impact and collaboration, Scientometrics 86(1) (2011) 317-324.
DOI: https://doi.org/10.1007/s11192-010-0265-x   Google Scholar

M. Kosmulski, The order in the lists of authors in multi-author papers revisited, Journal of Informetrics 6(4) (2012) 639-644.
DOI: https://doi.org/10.1016/j.joi.2012.06.006   Google Scholar

C.H. Sekercioglu, Quantifying coauthor contributions, Science 322(5900) (2008) 371.
DOI: https://doi.org/10.1126/science.322.5900.371a   Google Scholar

N.T. Hagen, Credit for coauthors, Science 323(5914) (2009) 583.
DOI: https://doi.org/10.1126/science.323.5914.583a   Google Scholar

N.T. Hagen, Harmonic publication and citation count-ing: sharing authorship credit equitably – not equally, geometrically or arithmetically, Scientometrics 84(3) (2010) 785-793.
DOI: https://doi.org/10.1007/s11192-009-0129-4   Google Scholar

N.T. Hagen, Harmonic coauthor credit: A parsimonious quantification of the byline hierarchy, Journal of Informetrics 7(3) (2013) 784-793.
DOI: https://doi.org/10.1016/j.joi.2013.06.005   Google Scholar

C.T. Zhang, A proposal for calculating weighted cita-tions based on author rank, EMBO Reports 10(5) (2009) 416-417.
DOI: https://doi.org/10.1038/embor.2009.74   Google Scholar

I. Podlubny, Comparison of scientific impact expressed by the number of citations in different fields of science, Scientometrics 64(1) (2005) 95-99.
DOI: https://doi.org/10.1007/s11192-005-0240-0   Google Scholar

J.E. Iglesias, C. Pecharroman, Scaling the h-index for different scientific ISI fields, Scientometrics 73(3) (2007) 303-320.
DOI: https://doi.org/10.1007/s11192-007-1805-x   Google Scholar

J. Lundberg, Lifting the crown – Citation z-score, Journal of Informetrics 1(2) (2007) 145-154.
DOI: https://doi.org/10.1016/j.joi.2006.09.007   Google Scholar

F. Radicchi, S., Fortunado, C. Castellano, Universality of citation distributions: Towards an objective measure of scientific impact, Proceedings of the National academy of Sciences of the United States of America 105(45) (2008) 17268–17272.
DOI: https://doi.org/10.1073/pnas.0806977105   Google Scholar

G. Abramo, T. Cicero, C.A. D’Angelo, Revisiting the scaling of citations for research assessment, Journal of Informetrics 6(3) (2012) 420-479.
DOI: https://doi.org/10.1016/j.joi.2012.03.005   Google Scholar

L. Bornmann, H.-D. Daniel, Universality of citation distribution – a validation of Radicchi et al.’s relative indicator cf = c/c0 at the micro level using data from chemistry, Journal of the American Society for Infor-mation Science and Technology 60(8) (2009) 1664-1670.
DOI: https://doi.org/10.1002/asi.21076   Google Scholar

J.E. Hirsch, An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship, Scientometrics 85(3) (2010) 741-754.
DOI: https://doi.org/10.1007/s11192-010-0193-9   Google Scholar

L. Egghe, Mathematical theory of the h- and g-index in case of fractional counting of authorship, Journal of the American Society for Information Science and Technology 59(10) (2008) 1608-1616.
DOI: https://doi.org/10.1002/asi.20845   Google Scholar

M. Schreiber, A modification of the h-index: The hm-index accounts for multi-authored manuscripts, Journal of Informetrics 2(3) (2008) 211-216.
DOI: https://doi.org/10.1016/j.joi.2008.05.001   Google Scholar

M. Schreiber, A case study of the modified Hirsch index hm accounting for multiple co-authors, Journal of the American Society for Information Science and Technology 60(6) (2009) 1274-1282.
DOI: https://doi.org/10.1002/asi.21057   Google Scholar

G. Abramo, C.A. D’Angelo, F. Rosati, The importance of accounting for the number of co-authors and their order when assessing research performance at the individual level in the life sciences, Journal of Informetrics 7 (2013) 198-208.
DOI: https://doi.org/10.1016/j.joi.2012.11.003   Google Scholar

M. Dunaiski, J. Geldenhuys, W. Visser, Author ranking evaluation at scale, Journal of Informetrics 12 (2018) 679-702.
DOI: https://doi.org/10.1016/j.joi.2018.06.004   Google Scholar

M. Salman, M.M. Ahmed, M.T. Afzal, Assessment of author ranking indices based on multi-authorship, Scientometrics 126 (2021) 4153-4172.
DOI: https://doi.org/10.1007/s11192-021-03906-1   Google Scholar

L. Egghe, A rationale for the Hirsch-index rank-order distrubtion and a comparison with the impact factor rank-order distribution, Journal of the American Society for Information Science and Technology 60(10) (2009) 2142-2144.
DOI: https://doi.org/10.1002/asi.21121   Google Scholar

L. Egghe, R. Rousseau, An informetric model for the Hirsch-index, Scientometrics 69(1), (2006) 121-129.
DOI: https://doi.org/10.1007/s11192-006-0143-8   Google Scholar

L. Egghe, R. Rousseau, The Hirsch index of a shifted Lotka function and its relation with the impact factor, Journal of the American Society for Information Sci-ence and Technology 63(5) (2012) 1048-1053.
DOI: https://doi.org/10.1002/asi.22617   Google Scholar

K. Sangwal, Comparison of different mathematical functions for the analysis of citation distribution of papers of individual authors, Journal of Informetrics 7(1) (2013) 36-49.
DOI: https://doi.org/10.1016/j.joi.2012.09.002   Google Scholar

Q.L. Burrell, Formulae for the h-index: A lack of ro-bustness in Lotkaian informetrics?, Journal of the American Society for Information Science and Tech-nology 64(7) (2013) 1507-1514.
DOI: https://doi.org/10.1002/asi.22845   Google Scholar

K. Sangwal, Citation and impact factor distributions of scientific journals published in individual countries, Journal of Informetrics 7(3) (2013) 487-504.
DOI: https://doi.org/10.1016/j.joi.2013.01.011   Google Scholar

K. Sangwal, Distributions of citation of papers of indi-vidual authors publishing in different scientific disci-plines: Application of Langmuir-type function, Journal of Informetrics 8(4) (2014) 972-984.
DOI: https://doi.org/10.1016/j.joi.2014.09.009   Google Scholar

K.Y. Chuang, Y.S. Ho, Bibliometric profile of top-cited single-author articles in the Science Citation Index Expanded, Journal of Informetrics 8(4) (2014) 951-962.
DOI: https://doi.org/10.1016/j.joi.2014.09.008   Google Scholar

Q.L. Burrell, Hirsch’s h-index: A stochastic model, Journal of Informetrics 1(1) (2007) 16-25.
DOI: https://doi.org/10.1016/j.joi.2006.07.001   Google Scholar

Q.L. Burrell, The h-index: A case of the tail wagging the dog?, Journal of Informetrics 7(3) (2013) 774-783.
DOI: https://doi.org/10.1016/j.joi.2013.06.004   Google Scholar

K. Sangwal, On the relationship between citations of publication output and Hirsch index h of authors: conceptualization of tapered Hirsch index hT, circular citation area radius R and citation acceleration a, Scientometrics 93(3) (2012) 987-1004.
DOI: https://doi.org/10.1007/s11192-012-0805-7   Google Scholar

K. Sangwal, On the age-independent publication index, Scientometrics 91(3) (2012) 1053-1058
DOI: https://doi.org/10.1007/s11192-012-0628-6   Google Scholar

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Published
2022-06-30

Cited by

Sangwal, K. (2022). Comparative study of scaling parameters and research output of selected highly- and moderately-cited individual authors . Journal of Computer Sciences Institute, 23, 152–164. https://doi.org/10.35784/jcsi.2920

Authors

Keshra Sangwal 
k.sangwal@pollub.pl
Lublin University of Technology Poland

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