Hari Mohan
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
-
- ECG Monitoring and Analysis
Papers in
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- AI in cancer detection 11
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- COVID-19 diagnosis using AI 13
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Kalyan Chatterjee (9 shared papers)Shailja Shukla (3 shared papers)Joon Yoo (13 shared papers)J.P. Mittal (3 shared papers)R.G. Kulkarni (4 shared papers)B. S. M. Rao (3 shared papers)Getahun Merga (1 shared paper)Jai P. Mittal (2 shared papers)
- Journals
- Solid State Communications (3 papers)Measurement (2 papers)The European Physical Journal A (2 papers)Chemical Physics Letters (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)
- Partner nations
- IndiaSouth KoreaKazakhstan
In The Last Decade
Hari Mohan
68 papers receiving 952 citations
Peers
Comparison fields: 5 of 119
- Neurology 140
- Cardiology and Cardiovascular Medicine 327
- Cognitive Neuroscience 224
- Health Informatics 13
- Health Information Management 33
Countries citing papers authored by Hari Mohan
This map shows the geographic impact of Hari 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 Hari Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hari Mohan more than expected).
Fields of papers citing papers by Hari Mohan
This network shows the impact of papers produced by Hari 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 Hari Mohan. The network helps show where Hari Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hari 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 174 | |
| 2 | 2021 | 116 | |
| 3 | 2021 | 62 | |
| 4 | 1994 | 60 | |
| 5 | 2020 | 43 | |
| 6 | 2023 | 39 | |
| 7 | 1996 | 37 | |
| 8 | 2021 | 37 | |
| 9 | 2018 | 32 | |
| 10 | 2022 | 31 | |
| 11 | 2018 | 29 | |
| 12 | 1992 | 26 | |
| 13 | 2023 | 21 | |
| 14 | 2024 | 15 | |
| 15 | 1995 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 1999 | 13 | |
| 19 | 2005 | 12 | |
| 20 | 2007 | 11 |
About Hari Mohan
Hari Mohan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (13 papers), ECG Monitoring and Analysis (12 papers), EEG and Brain-Computer Interfaces (11 papers), AI in cancer detection (11 papers), Brain Tumor Detection and Classification (9 papers), Free Radicals and Antioxidants (6 papers), Advanced Neural Network Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Neurology (140 citations), Cardiology and Cardiovascular Medicine (327 citations), Cognitive Neuroscience (224 citations), Health Informatics (13 citations) and Health Information Management (33 citations). Hari Mohan has collaborated with scholars based in India, South Korea and Kazakhstan. Frequent co-authors include Kalyan Chatterjee, Shailja Shukla, Joon Yoo, J.P. Mittal, R.G. Kulkarni, B. S. M. Rao, Getahun Merga, Jai P. Mittal, Dilip Kumar Maity and Abdul Razaque. Their work appears in journals such as Solid State Communications, Measurement, The European Physical Journal A, Chemical Physics Letters and Journal of Cancer Research and Clinical Oncology.
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.