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<!doctype html><html lang="en"><head><meta name="viewport" content="width=device-width,initial-scale=1"><title data-react-helmet="true">October 2023 data-update for "Updated science-wide author databases of standardized citation indicators" - Elsevier BV</title> <meta data-react-helmet="true" name="title" content="October 2023 data-update for "Updated science-wide author databases of standardized citation indicators""/><meta data-react-helmet="true" name="description" content="Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2022 and single recent year data pertain to citations received during calendar year 2022. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (6) is based on the October 1, 2023 snapshot from Scopus, updated to end of citation year 2022. This work uses Scopus data provided by Elsevier through ICSR Lab (https://www.elsevier.com/icsr/icsrlab). Calculations were performed using all Scopus author profiles as of October 1, 2023. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, please read the 3 associated PLoS Biology papers that explain the development, validation and use of these metrics and databases. (https://doi.org/10.1371/journal.pbio.1002501, https://doi.org/10.1371/journal.pbio.3000384 and https://doi.org/10.1371/journal.pbio.3000918). Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a "/><meta data-react-helmet="true" name="citation_title" content="October 2023 data-update for "Updated science-wide author databases of standardized citation indicators""/><meta data-react-helmet="true" name="citation_author" content="Ioannidis, John P.A."/><meta data-react-helmet="true" name="citation_publication_date" content="4 October 2023"/><meta data-react-helmet="true" name="citation_volume" content="6"/><meta data-react-helmet="true" name="citation_doi" content="10.17632/btchxktzyw.6"/><meta data-react-helmet="true" name="citation_publisher" content="Mendeley Data"/><meta data-react-helmet="true" name="dc.Contributor" content="Ioannidis, John P.A."/><meta data-react-helmet="true" name="dc.Title" content="October 2023 data-update for "Updated science-wide author databases of standardized citation indicators""/><meta data-react-helmet="true" name="dc.Date" content="4 October 2023"/><meta data-react-helmet="true" name="openGraphUrl" property="og:url" content="/datasets/btchxktzyw/6"/><meta data-react-helmet="true" name="openGraphTitle" property="og:title" content="October 2023 data-update for "Updated science-wide author databases of standardized citation indicators""/><meta data-react-helmet="true" name="openGraphDescription" property="og:description" content="Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2022 and single recent year data pertain to citations received during calendar year 2022. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (6) is based on the October 1, 2023 snapshot from Scopus, updated to end of citation year 2022. This work uses Scopus data provided by Elsevier through ICSR Lab (https://www.elsevier.com/icsr/icsrlab). Calculations were performed using all Scopus author profiles as of October 1, 2023. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, please read the 3 associated PLoS Biology papers that explain the development, validation and use of these metrics and databases. (https://doi.org/10.1371/journal.pbio.1002501, https://doi.org/10.1371/journal.pbio.3000384 and https://doi.org/10.1371/journal.pbio.3000918). Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. 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We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2022 and single recent year data pertain to citations received during calendar year 2022. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (6) is based on the October 1, 2023 snapshot from Scopus, updated to end of citation year 2022. This work uses Scopus data provided by Elsevier through ICSR Lab (https://www.elsevier.com/icsr/icsrlab). Calculations were performed using all Scopus author profiles as of October 1, 2023. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. \n\nPLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. \n\nThe c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, please read the 3 associated PLoS Biology papers that explain the development, validation and use of these metrics and databases. (https://doi.org/10.1371/journal.pbio.1002501, https://doi.org/10.1371/journal.pbio.3000384 and https://doi.org/10.1371/journal.pbio.3000918). \n\nFinally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a\n","url":"http://doi.org/10.17632/btchxktzyw.6","sameAs":"https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/6","version":"6","keywords":"Bibliometrics","publisher":null,"datePublished":"2023-10-04T08:59:05.363Z","mainEntityOfPage":{"@type":"WebPage","@id":"https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/6"},"includedInDataCatalog":"https://elsevier.digitalcommonsdata.com","license":{"@type":"CreativeWork","url":"https://creativecommons.org/licenses/by-nc/3.0","text":"CC BY NC 3.0"},"author":{"@type":"Person","name":"John P.A. Ioannidis"},"citation":{"@type":"CreativeWork","text":"Ioannidis, John P.A. 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tabindex="0" id="aa-globalheader-help" data-aa-region="aa-globalheader-help" data-aa-name="aa-globalheader-help" title="FAQ"><span class="anchor-text">FAQ</span></a></li></ul></nav></div></div></div><div id="gh-sub-header" class="u-flex-center-ver gh-sides-padding gh-move-to-spine"></div></header><main id="main"><div class="content-inner main-content"><article class="content-left"><div flexDirection="column" class="sc-braxZu ZQMvX"><h1 class="heading mdui-h1" aria-level="1" data-qa-id="dataset-title">October 2023 data-update for "Updated science-wide author databases of standardized citation indicators"</h1><div padding="5px 0 0 0" flexDirection="row" data-qa-id="dataset-title-info" class="sc-braxZu sc-iCZwEW ilolNn rjqOj"><span class="mdui-text" data-qa-id="dataset-title-info-published-date">Published: <span>4 October 2023</span></span><span class="with-spacing">|</span><span class="mdui-text" data-qa-id="dataset-title-info-version"> Version 6 </span><span class="with-spacing">|</span><span class="mdui-text" data-qa-id="dataset-title-info-doi"> DOI: </span><span class="with-spacing mdui-text">10.17632/btchxktzyw.6</span></div></div><section class="contributors mdui-text"><div class="contributors__heading">Contributor:</div><div class="mdui-dialog-container"><button type="button" class="mdui-button action contributor">John P.A. Ioannidis</button></div></section><section class="mdui-public-dataset"><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 ">Description</h2><p data-qa-id="dataset-description" class="preserve-formatting">Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2022 and single recent year data pertain to citations received during calendar year 2022. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (6) is based on the October 1, 2023 snapshot from Scopus, updated to end of citation year 2022. This work uses Scopus data provided by Elsevier through ICSR Lab (https://www.elsevier.com/icsr/icsrlab). Calculations were performed using all Scopus author profiles as of October 1, 2023. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, please read the 3 associated PLoS Biology papers that explain the development, validation and use of these metrics and databases. (https://doi.org/10.1371/journal.pbio.1002501, https://doi.org/10.1371/journal.pbio.3000384 and https://doi.org/10.1371/journal.pbio.3000918). Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a </p></div><div class="sc-cBYhjr fzLxuf"><button id="download-all" disabled="" type="button" class="mdui-button secondary">Download All </button></div><h2 class="mdui-h4 files-label">Files</h2><div class="mdui-file-tree" readonly=""><div class="file-list loading" role="presentation"><div aria-label="Loading" class="mdui-spinner large" role="img"><div class="spinner-inner"><div class="bounce1"></div><div class="bounce2"></div><div class="bounce3"></div></div></div></div></div><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 ">Steps to reproduce</h2><p class="preserve-formatting" data-qa-id="dataset-method">Code is provided with the dataset and runs on the ICSR Lab data sharing platform (https://www.elsevier.com/icsr/icsrlab) using Scopus data. It is written in python (pyspark) and can be used with other datasets on any pyspark platform.</p></div><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 ">Institutions</h2><div class="institutions__list">Stanford University</div></div><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 ">Categories</h2><div class="categories__list">Bibliometrics</div></div><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 custom-metadata">Additional metadata for Elsevier datasets</h2><table class="custom-metadata-table"><tbody><tr><td class="label">Date the data was collected</td><td>2022-09-01T00:00:00.000Z</td></tr></tbody></table></div><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 relatedlinks__heading">Related Links</h2><div class="sc-fQpRED kTmHFK relatedlinks__item"><div class="sc-knesRu cvLVPG">Article</div><a href="https://doi.org/10.1371/journal.pbio.3000384">https://doi.org/10.1371/journal.pbio.3000384</a><div class="sc-elDIKY duOABz">is cited by this dataset</div></div><div class="sc-fQpRED kTmHFK relatedlinks__item"><div class="sc-knesRu cvLVPG">Article</div><a href="https://doi.org/10.1371/journal.pbio.3000918">https://doi.org/10.1371/journal.pbio.3000918</a><div class="sc-elDIKY duOABz">is compiled by this dataset</div></div></div><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 ">Licence</h2><button type="button" class="mdpd-licence" data-qa-id="dataset-licence-button" aria-label="Learn more"><span>CC BY NC 3.0</span><span class="mdui-text-small subtext">Learn more</span></button></div></section><div class="Toastify"></div></article><aside class="content-right"><div class="mdui-public-metric__wrapper"><div class="mdui-public-metrics"><div aria-label="Loading" class="mdui-spinner" role="img"><div class="spinner-inner"><div class="bounce1"></div><div class="bounce2"></div><div class="bounce3"></div></div></div></div><div class="sc-braxZu sc-iKTcqh ZQMvX gdKvCW"><h2 class="mdui-h4 ">Dataset 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