Preethi Raghavan
Impact in
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- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Topic Modeling 19
- Natural Language Processing Techniques 14
- Machine Learning in Healthcare 4
- Semantic Web and Ontologies 4
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 2
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- Biomedical Text Mining and Ontologies 9
- Co-authors
- Albert M. Lai (7 shared papers)Eric Fosler‐Lussier (6 shared papers)Noémie Elhadad (2 shared papers)Chaitanya Shivade (1 shared paper)Peter J. Embí (1 shared paper)Stephen B. Johnson (1 shared paper)Jennifer J. Liang (4 shared papers)Jian Peng (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Constraints (1 paper)JMIR Medical Informatics (1 paper)Lecture notes in computer science (1 paper)International Journal of Advanced Computer Science and Applications (1 paper)
- Partner nations
- United StatesPhilippinesTaiwan
In The Last Decade
Preethi Raghavan
25 papers receiving 628 citations
Preethi Raghavan's Hit Papers
Peers
Comparison fields: 5 of 83
- Health Information Management 93
- Health Informatics 24
- Artificial Intelligence 363
- Computational Mathematics 2
- Family Practice 5
Countries citing papers authored by Preethi Raghavan
This map shows the geographic impact of Preethi Raghavan'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 Preethi Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preethi Raghavan more than expected).
Fields of papers citing papers by Preethi Raghavan
This network shows the impact of papers produced by Preethi Raghavan. 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 Preethi Raghavan. The network helps show where Preethi Raghavan may publish in the future.
Co-authors
The 25 scholars most cited alongside Preethi Raghavan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of approaches to identifying patient phenotype cohorts using electronic health records Hit paper breakdown → | 2013 | 378 |
| 2 | 2018 | 102 | |
| 3 | 2020 | 19 | |
| 4 | 2014 | 16 | |
| 5 | Extracting Problem and Resolution Information from Online Discussion Forums | 2010 | 15 |
| 6 | 2021 | 14 | |
| 7 | Temporal Classification of Medical Events | 2012 | 13 |
| 8 | 2008 | 12 | |
| 9 | Learning to Temporally Order Medical Events in Clinical Text | 2012 | 11 |
| 10 | Inter-annotator reliability of medical events, coreferences and temporal relations in clinical narratives by annotators with varying levels of clinical expertise. | 2012 | 11 |
| 11 | 2024 | 10 | |
| 12 | 2022 | 8 | |
| 13 | Exploring Semi-Supervised Coreference Resolution of Medical Concepts using Semantic and Temporal Features | 2012 | 8 |
| 14 | 2023 | 6 | |
| 15 | Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. | 2021 | 6 |
| 16 | 2009 | 4 | |
| 17 | 2024 | 4 | |
| 18 | MEDICAL EVENT TIMELINE GENERATION FROM CLINICAL NARRATIVES | 2014 | 3 |
| 19 | 2010 | 3 | |
| 20 | 2020 | 3 |
About Preethi Raghavan
Preethi Raghavan is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Networks and Communications and General Health Professions, having authored 28 papers that have together received 652 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (14 papers), Biomedical Text Mining and Ontologies (9 papers), Machine Learning in Healthcare (4 papers), Semantic Web and Ontologies (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Web Data Mining and Analysis (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Health Information Management (93 citations), Health Informatics (24 citations), Artificial Intelligence (363 citations), Computational Mathematics (2 citations) and Family Practice (5 citations). Preethi Raghavan has collaborated with scholars based in United States, Philippines and Taiwan. Frequent co-authors include Albert M. Lai, Eric Fosler‐Lussier, Noémie Elhadad, Chaitanya Shivade, Peter J. Embí, Stephen B. Johnson, Jennifer J. Liang, Jian Peng, Anusri Pampari and Peter Szolovits. Their work appears in journals such as Journal of the American Medical Informatics Association, Constraints, JMIR Medical Informatics, Lecture notes in computer science and International Journal of Advanced Computer Science and Applications.
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.