Kumar Abhishek
About
In The Last Decade
Kumar Abhishek
42 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 404
- Artificial Intelligence 362
- Radiology, Nuclear Medicine and Imaging 251
- Biomedical Engineering 154
- Oncology 118
Countries citing papers authored by Kumar Abhishek
This map shows the geographic impact of Kumar Abhishek'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 Kumar Abhishek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Abhishek more than expected).
Fields of papers citing papers by Kumar Abhishek
This network shows the impact of papers produced by Kumar Abhishek. 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 Kumar Abhishek. The network helps show where Kumar Abhishek may publish in the future.
Co-authorship network of co-authors of Kumar Abhishek
This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Abhishek. A scholar is included among the top collaborators of Kumar Abhishek 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 Kumar Abhishek. Kumar Abhishek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 90 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 35 | |
| 17 | Deep semantic segmentation of natural and medical images: a review breakdown → | 580 |
| 18 | Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges. | 2 |
| 19 | 9 | |
| 20 | Keeping Quality of Canine Blood | 2 |
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.