Elsevier BV Showcase

Chinese Medicine has a rich history that plays an important role in contemporary healthcare. This report presents a comprehensive bibliometric analysis of research on Chinese Medicine from 2014 to 2023, highlighting its development, shifting research focuses, impact on other fields, and key contributors. It outlines the Chinese Medicine research landscape, showcasing how this ancient medical practice evolves and thrives with modern science. More information at https://cm-evaluation.scm.hkbu.edu.hk/

This is the supplementary data for the article "Science-wide mapping and ranking of institutions based on affiliated authors". The data provided here is based on the August 2025 data-update for "Updated science-wide author databases of standardized citation indicators": https://elsevier.digitalcommonsdata.com/drafts/btchxktzyw/8.

Dataset files

Dataset search test description

VPAT Demo

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 and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added. 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-2024 and single recent year data pertain to citations received during calendar year 2024. 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 (7) is based on the August 1, 2025 snapshot from Scopus, updated to end of citation year 2024. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2025. 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, see attached file on FREQUENTLY ASKED QUESTIONS. 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

Inst Test Order

The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Since 2018, Elsevier has generated SDG search queries to help researchers and institutions track and demonstrate progress toward the SDG targets. In the past 3 years, these queries, along with the university’s own data and evidence supporting progress and contributions to the particular SDG outside of research-based metrics, are used for the THE Impact Rankings. For 2025, the SDGs use the exact same search query and ML algorithm as the Elsevier 2023 SDG mappings (https://elsevier.digitalcommonsdata.com/datasets/y2zyy9vwzy/1), with only minor modifications coming from changes to the search engine handling the SDG queries. Because of this, while the vast majority of publications retain their original mapping, the number of publications in each SDG has slightly changed. All these changes were implemented to streamline how SDG queries are handled. Users should note that running these in Scopus should be done for reference purposes only, as the Scopus search engine behaves slightly differently than the classifier used to formerly tag SDGs to publications.

A set of four nested PySpark notebooks on Elsevier’s cloud-based computational platform powered by Databricks that constitute a customisable research tool for studying researcher mobility.

Elsevier's 2024 Gender Report tracks and analyzes data across 18 countries and 2 regions (EU 27 and the world) examining women’s performance in research and innovation across disciplines and career stages. Our Report provides new insights into interdisciplinarity, multidisciplinarity, grant recipients, patent applications, open access, UN Sustainable Development Goals (SDG) research areas, as well as alternative metrics including policy and media citations. More information at https://www.elsevier.com/en-au/insights/gender-and-diversity-in-research