Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A formula to estimate a researcher’s impact by prioritizing highly cited publications

View ORCID ProfileAleksey V. Belikov, Vitaly V. Belikov
doi: https://doi.org/10.1101/058990
Aleksey V. Belikov
1Russian Academy of Sciences, Water Problems Institutes, Gubkin st. 3, 119333 Moscow, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Aleksey V. Belikov
  • For correspondence: belikov.research@gmail.com
Vitaly V. Belikov
1Russian Academy of Sciences, Water Problems Institutes, Gubkin st. 3, 119333 Moscow, Russia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Here we suggest a new index to estimate the scientific impact of an individual researcher, namely the S-index. This index has been designed to emphasize highly cited, truly important works and to be minimally affected by poorly cited ones, without setting any arbitrary threshold. The first property makes it advantageous over the h-index, which does not discriminate between highly and moderately cited articles, while the second property - over the total number of citations, preventing the possibility of overclocking an index by publishing many trivial articles. Contrary to the h-index, which has an upper limit of the total number of publications regardless of their citation numbers, the S-index is not limited by the publication count. This allows scientists having few but very influential works to receive appropriate and respectable index values, which is impossible with the h-index. Moreover, only 10 most cited publications of an individual are typically required to calculate an S-index to 99% accuracy. Collectively, the S-index is principally different from the existing scientometric indicators and should facilitate better recognition of prominent researchers.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted June 15, 2016.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A formula to estimate a researcher’s impact by prioritizing highly cited publications
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A formula to estimate a researcher’s impact by prioritizing highly cited publications
Aleksey V. Belikov, Vitaly V. Belikov
bioRxiv 058990; doi: https://doi.org/10.1101/058990
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A formula to estimate a researcher’s impact by prioritizing highly cited publications
Aleksey V. Belikov, Vitaly V. Belikov
bioRxiv 058990; doi: https://doi.org/10.1101/058990

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Scientific Communication and Education
Subject Areas
All Articles
  • Animal Behavior and Cognition (4370)
  • Biochemistry (9550)
  • Bioengineering (7071)
  • Bioinformatics (24777)
  • Biophysics (12568)
  • Cancer Biology (9925)
  • Cell Biology (14300)
  • Clinical Trials (138)
  • Developmental Biology (7931)
  • Ecology (12080)
  • Epidemiology (2067)
  • Evolutionary Biology (15959)
  • Genetics (10905)
  • Genomics (14708)
  • Immunology (9848)
  • Microbiology (23586)
  • Molecular Biology (9456)
  • Neuroscience (50706)
  • Paleontology (369)
  • Pathology (1535)
  • Pharmacology and Toxicology (2674)
  • Physiology (4001)
  • Plant Biology (8643)
  • Scientific Communication and Education (1505)
  • Synthetic Biology (2388)
  • Systems Biology (6415)
  • Zoology (1345)