Statistical regularities in the rank-citation profile of scientists
Recent science of science research shows that scientific impact measures for journals and individual articles have quantifiable regularities across both time and discipline. However, little is known about the scientific impact distribution at the scale of an individual scientist. We analyze the aggr...
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| Format: | Online |
| Language: | English |
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Nature Publishing Group
2011
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240955/ |
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pubmed-32409552011-12-22 Statistical regularities in the rank-citation profile of scientists Petersen, Alexander M. Stanley, H. Eugene Succi, Sauro Article Recent science of science research shows that scientific impact measures for journals and individual articles have quantifiable regularities across both time and discipline. However, little is known about the scientific impact distribution at the scale of an individual scientist. We analyze the aggregate production and impact using the rank-citation profile ci(r) of 200 distinguished professors and 100 assistant professors. For the entire range of paper rank r, we fit each ci(r) to a common distribution function. Since two scientists with equivalent Hirsch h-index can have significantly different ci(r) profiles, our results demonstrate the utility of the βi scaling parameter in conjunction with hi for quantifying individual publication impact. We show that the total number of citations Ci tallied from a scientist's Ni papers scales as . Such statistical regularities in the input-output patterns of scientists can be used as benchmarks for theoretical models of career progress. Nature Publishing Group 2011-12-05 /pmc/articles/PMC3240955/ /pubmed/22355696 http://dx.doi.org/10.1038/srep00181 Text en Copyright © 2011, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Petersen, Alexander M. Stanley, H. Eugene Succi, Sauro |
| spellingShingle |
Petersen, Alexander M. Stanley, H. Eugene Succi, Sauro Statistical regularities in the rank-citation profile of scientists |
| author_facet |
Petersen, Alexander M. Stanley, H. Eugene Succi, Sauro |
| author_sort |
Petersen, Alexander M. |
| title |
Statistical regularities in the rank-citation profile of scientists |
| title_short |
Statistical regularities in the rank-citation profile of scientists |
| title_full |
Statistical regularities in the rank-citation profile of scientists |
| title_fullStr |
Statistical regularities in the rank-citation profile of scientists |
| title_full_unstemmed |
Statistical regularities in the rank-citation profile of scientists |
| title_sort |
statistical regularities in the rank-citation profile of scientists |
| description |
Recent science of science research shows that scientific impact measures for journals and individual articles have quantifiable regularities across both time and discipline. However, little is known about the scientific impact distribution at the scale of an individual scientist. We analyze the aggregate production and impact using the rank-citation profile ci(r) of 200 distinguished professors and 100 assistant professors. For the entire range of paper rank r, we fit each ci(r) to a common distribution function. Since two scientists with equivalent Hirsch h-index can have significantly different ci(r) profiles, our results demonstrate the utility of the βi scaling parameter in conjunction with hi for quantifying individual publication impact. We show that the total number of citations Ci tallied from a scientist's Ni papers scales as . Such statistical regularities in the input-output patterns of scientists can be used as benchmarks for theoretical models of career progress. |
| publisher |
Nature Publishing Group |
| publishDate |
2011 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240955/ |
| _version_ |
1611495459196502016 |