David Riaño
Impact in
- Health Information Management top 0.5%
- Electronic Health Records Systems
- Health Informatics top 5%
Papers in
-
- Semantic Web and Ontologies 20
- Machine Learning in Healthcare 11
-
- Biomedical Text Mining and Ontologies 20
- Co-authors
- Francis J. Real (11 shared papers)Sara Ercolani (4 shared papers)Roberta Annicchiarico (3 shared papers)Carlo Caltagirone (1 shared paper)Patrizia Mecocci (3 shared papers)Antonio Moreno (5 shared papers)Annette ten Teije (8 shared papers)Mor Peleg (6 shared papers)
- Journals
- Lecture notes in computer science (36 papers)Journal of Biomedical Informatics (4 papers)Artificial Intelligence in Medicine (3 papers)Expert Systems with Applications (2 papers)International Journal of Medical Informatics (2 papers)
- Partner nations
- SpainSloveniaNetherlands
In The Last Decade
David Riaño
80 papers receiving 809 citations
Peers
Comparison fields: 5 of 100
- Health Information Management 166
- Health Informatics 23
- Artificial Intelligence 410
- Management Information Systems 100
- Information Systems 119
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 158 | |
| 2 | 2007 | 42 | |
| 3 | 2008 | 32 | |
| 4 | 2013 | 32 | |
| 5 | 2013 | 31 | |
| 6 | 2001 | 31 | |
| 7 | 2019 | 30 | |
| 8 | 2013 | 30 | |
| 9 | 2001 | 27 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2012 | 23 | |
| 14 | 2009 | 23 | |
| 15 | An Ontology-Based Knowledge Management Platform. | 2003 | 22 |
| 16 | 2019 | 17 | |
| 17 | 2018 | 12 | |
| 18 | 2004 | 12 | |
| 19 | 2003 | 11 | |
| 20 | 2008 | 10 |
About David Riaño
David Riaño is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Epidemiology and Health Information Management, having authored 82 papers that have together received 853 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Biomedical Text Mining and Ontologies (20 papers), Clinical practice guidelines implementation (11 papers), Machine Learning in Healthcare (11 papers), Electronic Health Records Systems (8 papers), Business Process Modeling and Analysis (7 papers), Chronic Disease Management Strategies (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Health Information Management (166 citations), Health Informatics (23 citations), Artificial Intelligence (410 citations), Management Information Systems (100 citations) and Information Systems (119 citations). David Riaño has collaborated with scholars based in Spain, Slovenia and Netherlands. Frequent co-authors include Francis J. Real, Sara Ercolani, Roberta Annicchiarico, Carlo Caltagirone, Patrizia Mecocci, Antonio Moreno, Annette ten Teije, Mor Peleg, Jesús Villar and Aı̈da Valls. Their work appears in journals such as Lecture notes in computer science, Journal of Biomedical Informatics, Artificial Intelligence in Medicine, Expert Systems with Applications and International Journal of Medical Informatics.
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.