David Riaño
Impact in
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- Semantic Web and Ontologies 9
- Machine Learning in Healthcare 5
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- Biomedical Text Mining and Ontologies 13
- Co-authors
- Francis J. Real (4 shared papers)Annette ten Teije (9 shared papers)Jesús Villar (2 shared papers)Carlo Caltagirone (1 shared paper)Sara Ercolani (3 shared papers)Roberta Annicchiarico (2 shared papers)Mor Peleg (7 shared papers)Patrizia Mecocci (3 shared papers)
- Journals
- Journal of Biomedical Informatics (4 papers)Artificial Intelligence in Medicine (2 papers)Expert Systems with Applications (2 papers)International Journal of Medical Informatics (2 papers)Data & Knowledge Engineering (1 paper)
- Partner nations
- SpainNetherlandsAustria
In The Last Decade
David Riaño
47 papers receiving 410 citations
Peers
Comparison fields: 5 of 95
- Health Information Management 115
- Health Informatics 19
- Artificial Intelligence 216
- Management Information Systems 41
- Family Practice 10
Countries citing papers authored by David Riaño
This map shows the geographic impact of David Riaño'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 Riaño with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Riaño more than expected).
Fields of papers citing papers by David Riaño
This network shows the impact of papers produced by David Riaño. 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 Riaño. The network helps show where David Riaño may publish in the future.
Co-authors
The 25 scholars most cited alongside David Riaño, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 117 | |
| 2 | 2019 | 27 | |
| 3 | 2001 | 25 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2017 | 20 | |
| 7 | 2012 | 18 | |
| 8 | 2007 | 18 | |
| 9 | 2019 | 17 | |
| 10 | An Ontology-Based Knowledge Management Platform. | 2003 | 15 |
| 11 | 2013 | 14 | |
| 12 | 2018 | 11 | |
| 13 | 2003 | 9 | |
| 14 | 2010 | 8 | |
| 15 | 2011 | 7 | |
| 16 | 2012 | 7 | |
| 17 | 2009 | 7 | |
| 18 | 2019 | 6 | |
| 19 | Knowledge engineering as a support for building an actor profile ontology for integrating Home-Care systems. | 2008 | 5 |
| 20 | 2018 | 5 |
About David Riaño
David Riaño is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Information Systems and Epidemiology, having authored 50 papers that have together received 440 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Semantic Web and Ontologies (9 papers), Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (5 papers), Clinical practice guidelines implementation (5 papers), Context-Aware Activity Recognition Systems (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Health Information Management (115 citations), Health Informatics (19 citations), Artificial Intelligence (216 citations), Management Information Systems (41 citations) and Family Practice (10 citations). David Riaño has collaborated with scholars based in Spain, Netherlands and Austria. Frequent co-authors include Francis J. Real, Annette ten Teije, Jesús Villar, Carlo Caltagirone, Sara Ercolani, Roberta Annicchiarico, Mor Peleg, Patrizia Mecocci, Silvia Miksch and Miquel Sànchez–Marrè. Their work appears in journals such as Journal of Biomedical Informatics, Artificial Intelligence in Medicine, Expert Systems with Applications, International Journal of Medical Informatics and Data & Knowledge Engineering.
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.