Senthil Nachimuthu
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Pharmacology
- Epidemiology
- Artificial Intelligence
- Co-authors
- Manish D. AssarJeffrey SchusslerPeter J. HaugAli JawaVivian FonsecaM. PendergrassAnthony WongMerri Pendergrass
- Topics
- Biomedical Text Mining and Ontologies (5 papers)Semantic Web and Ontologies (3 papers)Gastrointestinal disorders and treatments (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Senthil Nachimuthu
25 papers receiving 425 citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 171
- Molecular Biology 87
- Pharmacology 59
- Epidemiology 58
- Artificial Intelligence 54
Countries citing papers authored by Senthil Nachimuthu
This map shows the geographic impact of Senthil Nachimuthu'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 Senthil Nachimuthu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senthil Nachimuthu more than expected).
Fields of papers citing papers by Senthil Nachimuthu
This network shows the impact of papers produced by Senthil Nachimuthu. 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 Senthil Nachimuthu. The network helps show where Senthil Nachimuthu may publish in the future.
Co-authorship network of co-authors of Senthil Nachimuthu
This figure shows the co-authorship network connecting the top 25 collaborators of Senthil Nachimuthu. A scholar is included among the top collaborators of Senthil Nachimuthu 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 Senthil Nachimuthu. Senthil Nachimuthu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | Early detection of sepsis in the emergency department using Dynamic Bayesian Networks. | 44 |
| 8 | Modeling Glucose Homeostasis and Insulin Dosing in an Intensive Care Unit using Dynamic Bayesian Networks. | 12 |
| 9 | 3 | |
| 10 | Collaborative authoring of biomedical terminologies using a semantic Wiki. | 4 |
| 11 | 7 | |
| 12 | 22 | |
| 13 | Vocabulary metadata service for terminology servers to handle variations in design of various biomedical terminologies. | 1 |
| 14 | 28 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 41 | |
| 19 | 1 | |
| 20 | 1 |
About Senthil Nachimuthu
Senthil Nachimuthu is a scholar working on Anatomy, Energy Engineering and Power Technology and Internal Medicine, having authored 27 papers that have together received 444 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (3 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (171 citations), Pharmacology (41 citations) and Family Practice (9 citations). Senthil Nachimuthu has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Manish D. Assar, Jeffrey Schussler, Peter J. Haug, Ali Jawa, Vivian Fonseca, M. Pendergrass, Anthony Wong, Merri Pendergrass, Benjamin M. Althouse and Samuel Gratzl. Their work appears in journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.