David Pérez-Rey
Impact in
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- Electronic Health Records Systems
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- Scientific Computing and Data Management
Papers in
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- Biomedical Text Mining and Ontologies 22
- Bioinformatics and Genomic Networks 4
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- Semantic Web and Ontologies 16
- Co-authors
- Brecht Claerhout (17 shared papers)Matvey B. Palchuk (5 shared papers)John L. Esposito (1 shared paper)Jack London (1 shared paper)C. Thompson (1 shared paper)Jessamine Winer‐Jones (1 shared paper)Zuzanna Drebert (1 shared paper)Miguel García-Remesal (11 shared papers)
- Journals
- Methods of Information in Medicine (3 papers)International Journal of Medical Informatics (3 papers)Blood Cancer Journal (2 papers)Journal of Biomedical Informatics (2 papers)Computer Methods and Programs in Biomedicine (2 papers)
- Partner nations
- SpainFinlandNetherlands
In The Last Decade
David Pérez-Rey
41 papers receiving 648 citations
David Pérez-Rey's Hit Papers
Peers
Comparison fields: 5 of 107
- Health Information Management 34
- Information Systems and Management 30
- Endocrinology, Diabetes and Metabolism 45
- Artificial Intelligence 86
- Hematology 21
Countries citing papers authored by David Pérez-Rey
This map shows the geographic impact of David Pérez-Rey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Pérez-Rey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pérez-Rey more than expected).
Fields of papers citing papers by David Pérez-Rey
This network shows the impact of papers produced by David Pérez-Rey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Pérez-Rey. The network helps show where David Pérez-Rey may publish in the future.
Co-authors
The 25 scholars most cited alongside David Pérez-Rey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global federated real-world data and analytics platform for research Hit paper breakdown → | 2023 | 346 |
| 2 | 2005 | 65 | |
| 3 | 2021 | 26 | |
| 4 | 2012 | 18 | |
| 5 | 2015 | 15 | |
| 6 | 2006 | 15 | |
| 7 | 2016 | 15 | |
| 8 | 2010 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2011 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2010 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2012 | 8 | |
| 15 | 2012 | 8 | |
| 16 | 2010 | 8 | |
| 17 | 2013 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2010 | 6 | |
| 20 | 2022 | 6 |
About David Pérez-Rey
David Pérez-Rey is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Information Systems and Management and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 660 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Semantic Web and Ontologies (16 papers), Scientific Computing and Data Management (7 papers), Electronic Health Records Systems (5 papers), Bioinformatics and Genomic Networks (4 papers), Obstructive Sleep Apnea Research (2 papers), Data Quality and Management (2 papers) and Medical Coding and Health Information (2 papers). The work is most often cited by research in Health Information Management (34 citations), Information Systems and Management (30 citations), Endocrinology, Diabetes and Metabolism (45 citations), Artificial Intelligence (86 citations) and Hematology (21 citations). David Pérez-Rey has collaborated with scholars based in Spain, Finland and Netherlands. Frequent co-authors include Brecht Claerhout, Matvey B. Palchuk, John L. Esposito, Jack London, C. Thompson, Jessamine Winer‐Jones, Zuzanna Drebert, Miguel García-Remesal, Víctor Maojo and Raúl Alonso-Calvo. Their work appears in journals such as Methods of Information in Medicine, International Journal of Medical Informatics, Blood Cancer Journal, Journal of Biomedical Informatics and Computer Methods and Programs in Biomedicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.