Saroj Kumar Pandey
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- ECG Monitoring and Analysis 12
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 13
- Health Informatics top 10%
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- Brain Tumor Detection and Classification 6
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- COVID-19 diagnosis using AI 9
- Radiomics and Machine Learning in Medical Imaging 5
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- AI in cancer detection 8
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- Phonocardiography and Auscultation Techniques 5
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- Digital Imaging for Blood Diseases 4
- Co-authors
- Rekh Ram JanghelUrja PawarAnkit KumarKamred Udham SinghPankaj Kumar MishraTeekam SinghNeeraj VarshneyAnurag Sinha
- Partner nations
- IndiaSaudi ArabiaTaiwan
In The Last Decade
Saroj Kumar Pandey
63 papers receiving 690 citations
Peers
Comparison fields: 5 of 98
- Cardiology and Cardiovascular Medicine 361
- Cognitive Neuroscience 294
- Health Informatics 13
- Health Information Management 44
- Neurology 62
Countries citing papers authored by Saroj Kumar Pandey
This map shows the geographic impact of Saroj Kumar Pandey'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 Saroj Kumar Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saroj Kumar Pandey more than expected).
Fields of papers citing papers by Saroj Kumar Pandey
This network shows the impact of papers produced by Saroj Kumar Pandey. 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 Saroj Kumar Pandey. The network helps show where Saroj Kumar Pandey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saroj Kumar Pandey, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 0 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 2 |
About Saroj Kumar Pandey
Saroj Kumar Pandey is a scholar working on Health Informatics, Neurology and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 737 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), ECG Monitoring and Analysis (12 papers), COVID-19 diagnosis using AI (9 papers), AI in cancer detection (8 papers), Brain Tumor Detection and Classification (6 papers), Phonocardiography and Auscultation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (361 citations), Cognitive Neuroscience (294 citations) and Health Informatics (13 citations). Saroj Kumar Pandey has collaborated with scholars based in India, Saudi Arabia and Taiwan. Frequent co-authors include Rekh Ram Janghel, Urja Pawar, Ankit Kumar, Kamred Udham Singh, Pankaj Kumar Mishra, Teekam Singh, Neeraj Varshney, Anurag Sinha, Mohd Asif Shah and Sanjay Chakraborty. Their work appears in journals such as Scientific Reports, Electronics, IEEE Access, Journal of Cloud Computing Advances Systems and Applications and Drones.
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.