K. E. Ravikumar
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Advanced Text Analysis Techniques
Papers in
-
- Biomedical Text Mining and Ontologies 11
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Microbial Metabolic Engineering and Bioproduction 1
-
- Topic Modeling 4
- Semantic Web and Ontologies 4
- Natural Language Processing Techniques 2
- Co-authors
- Meenakshi Narayanaswamy (4 shared papers)K. Vijay‐Shanker (4 shared papers)Kavishwar B. Wagholikar (6 shared papers)Hongfang Liu (6 shared papers)Stephen Wu (3 shared papers)Sunghwan Sohn (2 shared papers)Siddhartha Jonnalagadda (2 shared papers)Cathy Wu (2 shared papers)
- Journals
- Computer applications in the biosciences (2 papers)Database (1 paper)Applied Clinical Informatics (1 paper)Annals of Allergy Asthma & Immunology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
K. E. Ravikumar
14 papers receiving 490 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 13
- Artificial Intelligence 180
- Molecular Biology 312
- Health Information Management 19
- Computational Theory and Mathematics 21
Countries citing papers authored by K. E. Ravikumar
This map shows the geographic impact of K. E. Ravikumar'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 K. E. Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. E. Ravikumar more than expected).
Fields of papers citing papers by K. E. Ravikumar
This network shows the impact of papers produced by K. E. Ravikumar. 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 K. E. Ravikumar. The network helps show where K. E. Ravikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside K. E. Ravikumar, 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 | An information extraction framework for cohort identification using electronic health records. | 2013 | 130 |
| 2 | 2002 | 76 | |
| 3 | 2005 | 71 | |
| 4 | 2013 | 58 | |
| 5 | 2005 | 38 | |
| 6 | 2016 | 32 | |
| 7 | 2006 | 27 | |
| 8 | 2012 | 27 | |
| 9 | 2015 | 21 | |
| 10 | 2018 | 12 | |
| 11 | 2013 | 10 | |
| 12 | 2011 | 5 | |
| 13 | Three Questions About Clinical Information Retrieval. | 2012 | 1 |
| 14 | 2014 | 1 |
About K. E. Ravikumar
K. E. Ravikumar is a scholar working on Molecular Biology, Artificial Intelligence, Pharmacology, Health Information Management and Infectious Diseases, having authored 14 papers that have together received 509 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (4 papers), Semantic Web and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Natural Language Processing Techniques (2 papers), Artificial Intelligence in Healthcare (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Health Informatics (13 citations), Artificial Intelligence (180 citations), Molecular Biology (312 citations), Health Information Management (19 citations) and Computational Theory and Mathematics (21 citations). K. E. Ravikumar has collaborated with scholars based in United States and India. Frequent co-authors include Meenakshi Narayanaswamy, K. Vijay‐Shanker, Kavishwar B. Wagholikar, Hongfang Liu, Stephen Wu, Sunghwan Sohn, Siddhartha Jonnalagadda, Cathy Wu, Christopher G. Chute and Iftikhar J. Kullo. Their work appears in journals such as Computer applications in the biosciences, Database, Applied Clinical Informatics, Annals of Allergy Asthma & Immunology and PLoS ONE.
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.