Statistical regularities in the rank-citation profile of scientists

Scientific Reports

Volumn 1, Issue , 2011, Pages

  Petersen, Alexander M ^a,b   Stanley, H Eugene ^b   Succi, Sauro ^c,d  

^a IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

^b Boston University   (United States)

^c CNR   (Italy)

^d UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; FACTUAL DATABASE; HUMAN; JOURNAL IMPACT FACTOR; PUBLISHING; RESEARCH; SCIENCE; STATISTICAL MODEL; STATISTICS; THEORETICAL MODEL;

DATABASES, FACTUAL; HUMANS; JOURNAL IMPACT FACTOR; MODELS, STATISTICAL; MODELS, THEORETICAL; PUBLISHING; RESEARCH; SCIENCE; STATISTICS AS TOPIC;

EID: 84859459878     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep00181     Document Type: Review

References (47)

1. Mazloumian, A., Eom, Y.-H., Helbing, D., Lozano, S., Fortunato, S. How citation boosts promote scientific paradigm shifts and Nobel prizes. PLoS ONE 6(5), e18975 (2011).
2. Merton, R. K. The Matthew effect in science. Science 159, 56-63 (1968).
3. Merton, R. K. The Matthew effect in science, II: Cumulative advantage and the symbolism of intellectual property. ISIS 79, 606-623 (1988).
4. Cole, J. R. Social Stratification in Science (Chicago, Illinois, The University of Chicago Press, 1981).
5. Guimera, R., Uzzi, B., Spiro, J., Amaral, L. A. N. Team assembly mechanisms determine collaboration network structure and team performance. Science 308, 697-702 (2005). (Pubitemid 40594391)
6. Malmgren, R. D., Ottino, J. M., Amaral, L. A. N. The role of mentorship in protégé performance. Nature 463, 622-626 (2010).
7. Azoulay, P., Zivin, J. S. G., & Wang, J. Superstar Extinction. Q. J. of Econ. 125 (2), 549-589 (2010).
8. Radicchi, F., Fortunato, S. & Castellano, C. Universality of citation distributions: Toward an objective measure of scientific impact. Proc. Natl. Acad. Sci. USA 105, 17268-17272 (2008).
9. Petersen, A. M., Wang, F., Stanley, H. E. Methods for measuring the citations and productivity of scientists across time and discipline. Phys. Rev. E 81, 036114 (2010).
10. Simonton, D. K. Creative productivity: A predictive and explanatory model of career trajectories and landmarks. Psychol. Rev. 104, 66-89 (1997).
11. Petersen, A. M., Jung, W.-S., Yang, J.-S. & Petersen, A. M., Jung, W.-S., Yang, J.-S. & Stanley, H. E. Quantitative and empirical demonstration of the Matthew effect in a study of career longevity. Proc. Natl. Acad. Sci. USA 108, 18-23 (2011).
12. Wu, J., Lozano, S., Helbing, D. Empirical study of the growth dynamics in real career h-index sequences. J. Informetrics 5, 489-497 (2011).(In press)
13. Petersen, A. M., Riccaboni, M., Stanley, H. E., Pammolli, F. Persistency and Uncertainty in the Academic Career. (2011).In preparation.
14. Hirsch, J. E. An index to quantify an individual's scientific research output. Proc. Natl. Acad. Sci. USA 102, 16569-16572 (2005). (Pubitemid 41688817)
15. Bornmann, L., Mutz, R., Daniel, H.-J. 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. JASIST 59, 001-008 (2008).
16. Egghe, L. Theory and practise of the g-index. Scientometrics 69, 131-152 (2006). (Pubitemid 44386715)
17. Zhang, C-T. Relationship of the h-index, g-index, and e-index. JASIST 62, 625-628 (2010).
18. van Eck, J. N., Waltman, L. Generalizing the h-and g-indices. J. Informetrics 2, 263-271 (2008).
19. Wu, Q. The w-index: A measure to assess scientific impact focusing on widely cited papers. JASIST 61, 609-614 (2010).
20. Naumis, G. G., Cocho, G. Tail universalities in rank distributions as an algebraic problem: The beta-like function. Physica A 387, 84-96 (2008). (Pubitemid 350051253)
21. Martinez-Mekler, G., Martinez, R. A., del Rio, M. B., Mansilla, R., Miramontes, P., Cocho, G. Universality of rank-ordering distributions in the arts and sciences. PLoS ONE 4, e4791 (2009).
22. Egghe, L., Rousseau, R. An informetric model for theHirsch-index. Scientometrics 69, 121-129 (2006).
23. Zipf, G. Human Behavior and the principle of least effort (Cambridge, MA, Addison-Wesley, 1949).
24. Gabaix, X. Zipf's law for cities: An explanation. Q. J. of Econ. 114 (3), 739-767 (1999).
25. ISI Web of Knowledge: www. isiknowledge. com/
26. Henzinger, M., Sunol, J., Weber, I. The stability of the h-index. Scientometrics 84, 465-479 (2010).
27. Hirsch, J. E. Does the h index have predictive power. Proc. Natl. Acad. Sci. USA 104, 19193-19198 (2008).
28. Batista, P. D., Campiteli, M. G., Martinez, A. S. Is it possible to compare researchers with different scientific interests? Scientometrics 68, 179-189 (2006). (Pubitemid 44126154)
29. Iglesias, J. E., Pecharromán, C. Scaling the h-index for different scientific ISI fields. Scientometrics 73, 303-320 (2007).
30. Bornmann, L., Daniel, H.-J. What do we know about the h index? JASIST 58, 1381-1385 (2007). (Pubitemid 47153983)
31. Redner, S. On the meaning of the h-index. J. Stat. Mech. 2010, L03005 (2010).
32. Radicchi, F., Fortunato, S., Markines, B., Vespignani, A. Diffusion of scientific credits and the ranking of scientists. Phys. Rev. E 80, 056103 (2009).
33. Egghe, L. Dynamic h-Index: the Hirsch index in function of time. JASIST 58, 452-454 (2006). (Pubitemid 46383531)
34. Burrell, Q. L. Hirsch's h-index: Astochastic model. J. Informetrics 1, 16-25 (2007).
35. Guns, R., Rousseau, R. Simulating growth of the h-index. JASIST 60, 410-417 (2009).
36. Shockley, W. On the statistics of individual variations of productivity in research laboratories. Proc. of the IRE 45, 279-290 (1957).
37. Allison, A. D., Stewart, J. A. Productivity differences among scientists: Evidence for accumulative advantage. Amer. Soc. Rev. 39(4), 596-606 (1974).
38. Huber, J. C. Inventive productivity and the statistics of exceedances. Scientometrics 45, 33-53 (1998).
39. Peterson, G. J., Presse, S., Dill, K. A. Nonuniversal power law scaling in the probability distribution of scientific citations. Proc. Natl. Acad. Sci. USA 107, 16023-16027 (2010).
40. Radicchi, F., Castellano, C. Rescaling citations of publications in Physics. Phys. Rev. E 83, 046116 (2011).
41. Redner, S. How popular is your paper? An empirical study of the citation distribution. Eur. Phys J. B 4, 131-134 (1998). (Pubitemid 128437505)
42. De Solla Price, D. Ageneral theory of bibliometric and other cumulative advantage processes. JASIST 27, 292-306 (1976).
43. Petersen, A. M., Jung, W.-S. & Stanley, H. E. On the distribution of career longevity and the evolution of home-run prowess in professional baseball. EPL 83, 50010 (2008).
44. Petersen, A. M., Penner, O. & Stanley, H. E. Methods for detrending success metrics to account for inflationary and deflationary factors. Eur. Phys. J. B 79, 67-78 (2011).
45. Lazer, D., et al. Computational social science. Science 323, 721-723 (2009).
46. Castellano, C., Fortunato, S., Loreto, V. Statistical physics of social dynamics. Rev. Mod. Phys. 81, 591-646 (2009).
47. Redner, S. Citation statistics from 110 years of Physical Review. Phys. Today. 58, 49-54 (2005). (Pubitemid 41038281)