Bikesh Kumar Singh
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- AI in cancer detection 27
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- EEG and Brain-Computer Interfaces 29
- Co-authors
- Kesari Verma (17 shared papers)Tej Bahadur Chandra (5 shared papers)Deepak Jain (4 shared papers)A. S. Thoke (8 shared papers)Satyabhuwan Singh Netam (2 shared papers)R. Periyasamy (3 shared papers)Narendra Kuber Bodhey (8 shared papers)Ram Bilas Pachori (3 shared papers)
- Journals
- Expert Systems with Applications (6 papers)Brazilian Archives of Biology and Technology (4 papers)Biomedical Signal Processing and Control (3 papers)Multimedia Tools and Applications (3 papers)Measurement (2 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Bikesh Kumar Singh
92 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 145
- Health Informatics 46
- Radiology, Nuclear Medicine and Imaging 567
- Artificial Intelligence 583
- Computer Vision and Pattern Recognition 304
- Health Information Management 60
Countries citing papers authored by Bikesh Kumar Singh
This map shows the geographic impact of Bikesh Kumar Singh'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 Bikesh Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bikesh Kumar Singh more than expected).
Fields of papers citing papers by Bikesh Kumar Singh
This network shows the impact of papers produced by Bikesh Kumar Singh. 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 Bikesh Kumar Singh. The network helps show where Bikesh Kumar Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Bikesh Kumar Singh, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 202 | |
| 2 | 2020 | 75 | |
| 3 | 2017 | 59 | |
| 4 | 2019 | 55 | |
| 5 | 2016 | 52 | |
| 6 | 2019 | 50 | |
| 7 | 2018 | 49 | |
| 8 | 2023 | 46 | |
| 9 | 2018 | 43 | |
| 10 | 2015 | 39 | |
| 11 | 2015 | 38 | |
| 12 | 2020 | 31 | |
| 13 | 2018 | 31 | |
| 14 | 2023 | 30 | |
| 15 | 2022 | 30 | |
| 16 | 2022 | 27 | |
| 17 | 2017 | 26 | |
| 18 | 2017 | 26 | |
| 19 | Content Based Image Retrieval Approaches for Detection of Malarial Parasite in Blood Images | 2011 | 25 |
| 20 | 2021 | 24 |
About Bikesh Kumar Singh
Bikesh Kumar Singh is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (29 papers), AI in cancer detection (27 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Phonocardiography and Auscultation Techniques (10 papers), ECG Monitoring and Analysis (9 papers), Advanced Image Fusion Techniques (8 papers), Medical Image Segmentation Techniques (8 papers) and Image and Signal Denoising Methods (8 papers). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (567 citations), Artificial Intelligence (583 citations), Computer Vision and Pattern Recognition (304 citations) and Health Information Management (60 citations). Bikesh Kumar Singh has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Kesari Verma, Tej Bahadur Chandra, Deepak Jain, A. S. Thoke, Satyabhuwan Singh Netam, R. Periyasamy, Narendra Kuber Bodhey, Ram Bilas Pachori, Awanish Kumar and Маниша Шарма. Their work appears in journals such as Expert Systems with Applications, Brazilian Archives of Biology and Technology, Biomedical Signal Processing and Control, Multimedia Tools and Applications and Measurement.
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.