Eithon Cadag
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
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- Electronic Health Records Systems
Papers in
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- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 3
- Genomics and Phylogenetic Studies 2
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- Topic Modeling 2
- Semantic Web and Ontologies 2
- Co-authors
- Imre Solti (4 shared papers)Özlem Uzuner (4 shared papers)Fei Xia (2 shared papers)Peter Tarczy‐Hornoch (6 shared papers)Peter J. Myler (4 shared papers)Scott Halgrim (2 shared papers)Sowbarnika Sachithanantham (1 shared paper)Lakshmi Ganesan (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (2 papers)Journal of Biomedical Informatics (2 papers)BMC Bioinformatics (2 papers)Journal of Biomedical Semantics (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- United States
In The Last Decade
Eithon Cadag
13 papers receiving 585 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 298
- Health Information Management 35
- Health Informatics 7
- Molecular Biology 322
- Toxicology 13
Countries citing papers authored by Eithon Cadag
This map shows the geographic impact of Eithon Cadag'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 Eithon Cadag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eithon Cadag more than expected).
Fields of papers citing papers by Eithon Cadag
This network shows the impact of papers produced by Eithon Cadag. 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 Eithon Cadag. The network helps show where Eithon Cadag may publish in the future.
Co-authors
The 23 scholars most cited alongside Eithon Cadag, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 361 | |
| 2 | 2010 | 97 | |
| 3 | 2014 | 71 | |
| 4 | 2006 | 26 | |
| 5 | 2011 | 17 | |
| 6 | 2012 | 15 | |
| 7 | Extracting Medication Information from Discharge Summaries | 2010 | 12 |
| 8 | 2016 | 5 | |
| 9 | 2010 | 3 | |
| 10 | 2012 | 2 | |
| 11 | 2009 | 2 | |
| 12 | 2009 | 1 | |
| 13 | Learning pathogenic proteins across fractured and heterogeneous data. | 2008 | 1 |
About Eithon Cadag
Eithon Cadag is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems and Management, Genetics and Spectroscopy, having authored 13 papers that have together received 613 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Topic Modeling (2 papers), Semantic Web and Ontologies (2 papers), Genomics and Phylogenetic Studies (2 papers), Scientific Computing and Data Management (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Artificial Intelligence (298 citations), Health Information Management (35 citations), Health Informatics (7 citations), Molecular Biology (322 citations) and Toxicology (13 citations). Eithon Cadag has collaborated with scholars based in United States. Frequent co-authors include Imre Solti, Özlem Uzuner, Fei Xia, Peter Tarczy‐Hornoch, Peter J. Myler, Scott Halgrim, Sowbarnika Sachithanantham, Lakshmi Ganesan, Steve Edelman and Bjoern Peters. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, BMC Bioinformatics, Journal of Biomedical Semantics and Journal of Autoimmunity.
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.