Reputation and impact in academic careers
Alexander Michael Petersen1, Santo Fortunato2, Raj K Pan3
1Laboratory for the Analysis of Complex Economic Systems, Institutions, Markets, Technologies (IMT) Lucca Institute for Advanced Studies, 55100 Lucca, Italy; hes@bu.edu petersen.xander@gmail.com santo.fortunato@aalto.fi.
Scientist reputation significantly boosts early citation rates for new publications. However, this reputation effect diminishes for highly cited papers, making citation counts a more transparent impact measure for established work.
Area of Science:
- Bibliometrics
- Scientometrics
- Sociology of Science
Background:
- Reputation is a crucial social construct in science for assessing publications and careers.
- The precise relationship between an individual scientist's reputation and their career progression is not well understood.
- Quantitative research evaluation methods are increasingly prevalent but do not fully clarify reputation's role.
Purpose of the Study:
- To develop a novel framework for quantifying the impact of author reputation on publication citation rates.
- To analyze how a publication's citation rate depends on both its net citation count and the central author's reputation.
- To investigate the mechanisms underlying cumulative advantage in scientific careers.
Main Methods:
- Longitudinal analysis of the careers of 450 highly cited scientists.
- Using total citations of a scientist as a measure of their reputation.
- Developing a stochastic reputation model to simulate career dynamics.
Main Results:
- A citation crossover point (c×) was identified, differentiating the influence of reputation.
- For publications with citations below c×, author reputation strongly influences citation rate, increasing it by ~66% per tenfold reputation increase.
- The reputation effect becomes negligible for publications with citations at or above c×, where citation rate more accurately reflects impact.
Conclusions:
- Author reputation provides a significant early advantage for new scientific publications.
- Citation counts become a more transparent indicator of scientific impact for highly cited works.
- The developed stochastic reputation model successfully replicates statistical patterns observed in real scientific careers.
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