Senthilkumar Mohan
Impact in
- Health Information Management top 0.02%
- Artificial Intelligence in Healthcare
- Medical Laboratory Technology top 0.2%
- Quality and Safety in Healthcare
Papers in
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- AI in cancer detection 5
- Cryptography and Data Security 3
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- Blockchain Technology Applications and Security 5
- Cloud Computing and Resource Management 4
- Co-authors
- Gautam Srivastava (10 shared papers)Chandrasegar Thirumalai (4 shared papers)Ali Ahmadian (18 shared papers)Celestine Iwendi (9 shared papers)A John (7 shared papers)Vedika Gupta (7 shared papers)Narjes Nabipour (1 shared paper)Jafar A. Alzubi (1 shared paper)
In The Last Decade
Senthilkumar Mohan
59 papers receiving 2.9k citations
Senthilkumar Mohan's Hit Papers
Peers
Comparison fields: 5 of 149
- Health Information Management 1.2k
- Medical Laboratory Technology 212
- Health Informatics 68
- Artificial Intelligence 1.3k
- Information Systems 607
Countries citing papers authored by Senthilkumar Mohan
This map shows the geographic impact of Senthilkumar Mohan'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 Senthilkumar Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senthilkumar Mohan more than expected).
Fields of papers citing papers by Senthilkumar Mohan
This network shows the impact of papers produced by Senthilkumar Mohan. 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 Senthilkumar Mohan. The network helps show where Senthilkumar Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Senthilkumar Mohan, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques Hit paper breakdown → | 2019 | 1242 |
| 2 | Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model Hit paper breakdown → | 2021 | 237 |
| 3 | 2020 | 116 | |
| 4 | 2020 | 99 | |
| 5 | 2022 | 78 | |
| 6 | 2022 | 71 | |
| 7 | 2021 | 69 | |
| 8 | 2020 | 68 | |
| 9 | 2023 | 66 | |
| 10 | 2019 | 66 | |
| 11 | 2020 | 66 | |
| 12 | 2021 | 60 | |
| 13 | 2021 | 59 | |
| 14 | 2021 | 59 | |
| 15 | 2021 | 49 | |
| 16 | 2022 | 44 | |
| 17 | 2023 | 42 | |
| 18 | 2023 | 42 | |
| 19 | 2023 | 41 | |
| 20 | 2020 | 41 |
About Senthilkumar Mohan
Senthilkumar Mohan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 60 papers that have together received 3.1k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (8 papers), Artificial Intelligence in Healthcare (6 papers), Blockchain Technology Applications and Security (5 papers), IoT and Edge/Fog Computing (5 papers), AI in cancer detection (5 papers), Cloud Computing and Resource Management (4 papers), Brain Tumor Detection and Classification (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Health Information Management (1.2k citations), Medical Laboratory Technology (212 citations), Health Informatics (68 citations), Artificial Intelligence (1.3k citations) and Information Systems (607 citations). Senthilkumar Mohan has collaborated with scholars based in India, Malaysia and Cyprus. Frequent co-authors include Gautam Srivastava, Chandrasegar Thirumalai, Ali Ahmadian, Celestine Iwendi, A John, Vedika Gupta, Narjes Nabipour, Jafar A. Alzubi, Mehdi Gheisari and Ali Akbar Movassagh. Their work appears in journals such as Electronics, Computers & Electrical Engineering, Computer Communications, Multimedia Tools and Applications and Sustainable Computing Informatics and Systems.
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.