David Riaño
- Artificial Intelligence top 5%
- Molecular Biology
- Health Information Management top 1%
- Epidemiology
- Information Systems top 10%
- Co-authors
- Francis J. RealAnnette ten TeijeJesús VillarMor PelegSara ErcolaniRoberta AnnicchiaricoCarlo CaltagironePatrizia Mecocci
- Topics
- Biomedical Text Mining and Ontologies (13 papers)Semantic Web and Ontologies (9 papers)Electronic Health Records Systems (8 papers)
- Partner nations
- SpainNetherlandsAustria
In The Last Decade
David Riaño
47 papers receiving 410 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 216
- Molecular Biology 118
- Health Information Management 115
- Epidemiology 72
- Information Systems 56
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-authorship network of co-authors of David Riaño
This figure shows the co-authorship network connecting the top 25 collaborators of David Riaño. A scholar is included among the top collaborators of David Riaño 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 Riaño. David Riaño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | Process Support and Knowledge Representation in Health Care: BPM 2012 Joint Workshop, ProHealth 2012/KR4HC 2012, Tallinn, Estonia, September 3, 2012 | 1 |
| 9 | 3 | |
| 10 | 117 | |
| 11 | 1 | |
| 12 | Knowledge engineering as a support for building an actor profile ontology for integrating Home-Care systems. | 5 |
| 13 | 1 | |
| 14 | Proceedings of the 2007 conference on Knowledge management for health care procedures | 4 |
| 15 | Time-independent rule-based guideline induction | 1 |
| 16 | 0 | |
| 17 | 25 | |
| 18 | Binding Environmental Sciences and Artificial Intelligence on ECAI’98 | 3 |
| 19 | Automatic construction of descriptive rules | 1 |
| 20 | Rule generation and compactation in the WWTP | 1 |
About David Riaño
David Riaño is a scholar working on Health Information Management, Artificial Intelligence and Family Practice, 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) and Electronic Health Records Systems (8 papers). The work is most often cited by research in Health Information Management (115 citations), Health Informatics (19 citations) and Artificial Intelligence (216 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, Mor Peleg, Sara Ercolani, Roberta Annicchiarico, Carlo Caltagirone, Patrizia Mecocci, Silvia Miksch and Ulises Cortés. Their work appears in journals such as Expert Systems with Applications, Critical Care and Alzheimer s & Dementia.
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.