David Pérez-Rey
- Molecular Biology
- Artificial Intelligence top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Surgery
- Co-authors
- Brecht ClaerhoutMatvey B. PalchukC. ThompsonJack LondonJohn L. EspositoZuzanna DrebertJessamine Winer‐JonesVíctor Maojo
- Topics
- Biomedical Text Mining and Ontologies (25 papers)Semantic Web and Ontologies (19 papers)Scientific Computing and Data Management (8 papers)
- Partner nations
- SpainFinlandNetherlands
In The Last Decade
David Pérez-Rey
34 papers receiving 531 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 190
- Artificial Intelligence 122
- Epidemiology 64
- Endocrinology, Diabetes and Metabolism 63
- Surgery 61
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-authorship network of co-authors of David Pérez-Rey
This figure shows the co-authorship network connecting the top 25 collaborators of David Pérez-Rey. A scholar is included among the top collaborators of David Pérez-Rey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Pérez-Rey. David Pérez-Rey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | A global federated real-world data and analytics platform for researchbreakdown → | 264 |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | BRIDG-based Trial Metadata Repository - Need for Standardized Machine Interpretable Trial Descriptions. | 1 |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | Cohort Selection and Management Application Leveraging Standards-based Semantic Interoperability and a Groovy DSL. | 2 |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 18 | |
| 16 | 8 | |
| 17 | 8 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | 65 |
About David Pérez-Rey
David Pérez-Rey is a scholar working on Health Information Management, Information Systems and Management and Health Informatics, having authored 35 papers that have together received 540 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Semantic Web and Ontologies (19 papers) and Scientific Computing and Data Management (8 papers). The work is most often cited by research in Health Information Management (59 citations), Health Informatics (11 citations) and Information Systems and Management (52 citations). David Pérez-Rey has collaborated with scholars based in Spain, Finland and Netherlands. Frequent co-authors include Brecht Claerhout, Matvey B. Palchuk, C. Thompson, Jack London, John L. Esposito, Zuzanna Drebert, Jessamine Winer‐Jones, Víctor Maojo, Miguel García-Remesal and Raúl Alonso-Calvo. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and BioMed Research International.
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.