Koushlendra Kumar Singh
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Modeling and Simulation top 5%
- Co-authors
- Manish Kumar BajpaiOnkar SinghRajesh K. PandeySuraj KumarAkbar Sheikh-AkbariRanjeet KumarO. P. SinghChandra Bhushan Tripathi
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)AI in cancer detection (8 papers)Image and Signal Denoising Methods (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessInternational Journal of Environmental Research and Public Health
- Partner nations
- IndiaUnited KingdomMalaysia
In The Last Decade
Koushlendra Kumar Singh
41 papers receiving 320 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 118
- Artificial Intelligence 113
- Computer Vision and Pattern Recognition 83
- Pulmonary and Respiratory Medicine 41
- Modeling and Simulation 41
Countries citing papers authored by Koushlendra Kumar Singh
This map shows the geographic impact of Koushlendra 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 Koushlendra 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 Koushlendra Kumar Singh more than expected).
Fields of papers citing papers by Koushlendra Kumar Singh
This network shows the impact of papers produced by Koushlendra 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 Koushlendra Kumar Singh. The network helps show where Koushlendra Kumar Singh may publish in the future.
Co-authorship network of co-authors of Koushlendra Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Koushlendra Kumar Singh. A scholar is included among the top collaborators of Koushlendra Kumar Singh 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 Koushlendra Kumar Singh. Koushlendra Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 37 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 47 | |
| 20 | 1 |
About Koushlendra Kumar Singh
Koushlendra Kumar Singh is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Modeling and Simulation, having authored 47 papers that have together received 326 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (8 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Radiology, Nuclear Medicine and Imaging (118 citations) and Media Technology (38 citations). Koushlendra Kumar Singh has collaborated with scholars based in India, United Kingdom and Malaysia. Frequent co-authors include Manish Kumar Bajpai, Onkar Singh, Rajesh K. Pandey, Suraj Kumar, Akbar Sheikh-Akbari, Ranjeet Kumar, O. P. Singh, Chandra Bhushan Tripathi, Michalis Zervakis and Prabhat Munshi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Environmental Research and Public Health.
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.