If a scientist has a good reputation among his colleagues, other scientists are more likely to cite his publications. According to a study, reputation is crucial for the impact of publications.
Author reputation is key in driving a paper's citation count early in its life cycle, before a tipping point, after which reputation has much less influence compared to the paper's citation count, says Aalto University Professor Santo Fortunato, pointing out that this is a key finding of the study.
Quality – not quantity – of publications build authors' reputation
As the quality of science is more and more linked to citation counts, understanding the mechanisms that underlie the life spans of scientists' careers becomes increasingly essential.
The result encourages publishing quality, not quantity. Just a single widely cited high-impact article is very likely to cause what the group calls "a reputation boost".
The number of journals increases rapidly and so do opportunities for publication. The reputation boost effect speaks in favour of aiming for quality instead of quantity in publishing. This reinforces a research strategy beneficial for science and scientists alike, asserts Fortunato.
The life cycle of heavily cited articles is long in mathematics, where some publications even seem to "live forever". The papers in other sciences studied – biology and physics – display a "half-life" of roughly five years. The group puts this down to the fast pace of ideation in these fields.
Effects of reputation on the impact analysed with quantitative methods
The effects of researchers' reputation on their scientific impact can now be analysed with quantitative methods. Statistical physicists at Aalto University Department of Biomedical Engineering and Computational Science (BECS) are collaborating in a study that studies how the value of individual scientists' reputation emerges and how scientific knowledge advances.
The group clarifies how an author's reputation influences the impact of a published article. They have analysed the citation patterns of over 80 000 articles and 7,5 million citations.
A researcher produces many comparable products – publications – over her career. We use the citations that the publications receive as a measure of scientific impact, explains group leader Professor Alexander Petersen from IMT Lucca.
The relation between the reputation and the career growth of an individual researcher still remains poorly understood. We wish to provide methods to better evaluate not only scientific output but also the scientists themselves, says Fortunato.
The career evolution of a scientist is a complex process. Understanding the role of social ingredients – reputation, cooperation, competition, creativity – which underlie it, is an emerging interdisciplinary research front, says Petersen.
The results are now published in the esteemed journal PNAS (Proceedings of the National Academy of Sciences). The study is led by Professors Alexander Petersen and H. Eugene Stanley from IMT Lucca and Boston University, respectively. Other authors are Professors Fabio Pammolli and Massimo Riccaboni (IMT Lucca) and Dr Armando Rungi (IMT Lucca). Collaborating from Aalto University are Professors Kimmo Kaski and Santo Fortunato and Postdoctoral Researcher Raj Kumar Pan.
The study is part of on-going work in the Aalto University Department of Biomedical Engineering and Computational Science research groups Complex Networks and Complex Systems. They model complex social networks in an upcoming field called computational social science.
Alexander M. Petersen, Santo Fortunato, Raj K. Pan, Kimmo Kaski, Orion Penner, Armando Rungi, Massimo Riccaboni, H. Eugene Stanley, Fabio Pammolli: Reputation and Impact in Academic Careers. PNAS doi: 10.1073/pnas.1323111111
Link to article: http://www.pnas.org/content/early/2014/10/03/1323111111.abstract?sid=bc1519d9-82c1-426a-b279-3e8e4b9524ee
Further information:
Santo Fortunato, Professor
santo.fortunato@aalto.fi
tel. +358 50 460 5511
Twitter @santo_fortunato
Aalto University School of Science
Department of Biomedical Engineering and Computational Science BECS
http://becs.aalto.fi/en/
Journal
Proceedings of the National Academy of Sciences