Anthony Rios
Impact in
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- Medical Coding and Health Information
- Artificial Intelligence top 5%
- Topic Modeling
- Machine Learning in Healthcare
- Text and Document Classification Technologies
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 8
- Text and Document Classification Technologies 5
- Advanced Text Analysis Techniques 4
- Hate Speech and Cyberbullying Detection 2
- Machine Learning in Healthcare 2
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- Biomedical Text Mining and Ontologies 9
- Co-authors
- Ramakanth Kavuluru (15 shared papers)Yuan Lü (1 shared paper)Zhiyong Lu (2 shared papers)Yifan Peng (1 shared paper)Tung Tran (2 shared papers)Sifei Han (2 shared papers)Debanjan Mahata (1 shared paper)Saif M. Mohammad (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (3 papers)Artificial Intelligence in Medicine (2 papers)Journal of Biomedical Informatics (2 papers)Transfusion (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Anthony Rios
30 papers receiving 678 citations
Peers
Comparison fields: 5 of 97
- Health Information Management 69
- Artificial Intelligence 472
- Health Informatics 13
- Toxicology 21
- Molecular Biology 234
Countries citing papers authored by Anthony Rios
This map shows the geographic impact of Anthony Rios'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 Anthony Rios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Rios more than expected).
Fields of papers citing papers by Anthony Rios
This network shows the impact of papers produced by Anthony Rios. 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 Anthony Rios. The network helps show where Anthony Rios may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Rios, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2015 | 96 | |
| 3 | 2015 | 94 | |
| 4 | 2018 | 83 | |
| 5 | 2018 | 65 | |
| 6 | 2017 | 42 | |
| 7 | 2019 | 33 | |
| 8 | 2018 | 29 | |
| 9 | Biocompatibility of dialysis membranes: a comparative study. | 1991 | 21 |
| 10 | 2017 | 19 | |
| 11 | 2020 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2013 | 14 | |
| 15 | Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. | 2017 | 11 |
| 16 | 2020 | 7 | |
| 17 | 2019 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2024 | 4 |
About Anthony Rios
Anthony Rios is a scholar working on Artificial Intelligence, Molecular Biology, Sociology and Political Science, Information Systems and Computer Networks and Communications, having authored 37 papers that have together received 711 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (9 papers), Natural Language Processing Techniques (8 papers), Text and Document Classification Technologies (5 papers), Advanced Text Analysis Techniques (4 papers), Hate Speech and Cyberbullying Detection (2 papers), Machine Learning in Healthcare (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Health Information Management (69 citations), Artificial Intelligence (472 citations), Health Informatics (13 citations), Toxicology (21 citations) and Molecular Biology (234 citations). Anthony Rios has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Ramakanth Kavuluru, Yuan Lü, Zhiyong Lu, Yifan Peng, Tung Tran, Sifei Han, Debanjan Mahata, Saif M. Mohammad, Maksim Belousov and Kai Hakala. Their work appears in journals such as Journal of the American Medical Informatics Association, Artificial Intelligence in Medicine, Journal of Biomedical Informatics, Transfusion and Bioinformatics.
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.