Hanuman Verma
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Neurology top 10%
- Management Science and Operations Research top 10%
- Co-authors
- R. K. AgrawalAditi SharanDhirendra KumarAkshansh GuptaAparna MehraNaveen KumarMukesh PrasadJavier Andreu-Pérez
- Topics
- Medical Image Segmentation Techniques (6 papers)Multi-Criteria Decision Making (4 papers)Brain Tumor Detection and Classification (4 papers)
- Partner nations
- IndiaUnited KingdomAustralia
In The Last Decade
Hanuman Verma
10 papers receiving 406 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 199
- Artificial Intelligence 172
- Media Technology 88
- Neurology 66
- Management Science and Operations Research 57
Countries citing papers authored by Hanuman Verma
This map shows the geographic impact of Hanuman Verma'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 Hanuman Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanuman Verma more than expected).
Fields of papers citing papers by Hanuman Verma
This network shows the impact of papers produced by Hanuman Verma. 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 Hanuman Verma. The network helps show where Hanuman Verma may publish in the future.
Co-authorship network of co-authors of Hanuman Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Hanuman Verma. A scholar is included among the top collaborators of Hanuman Verma 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 Hanuman Verma. Hanuman Verma 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 | 40 | |
| 3 | 14 | |
| 4 | 62 | |
| 5 | 43 | |
| 6 | 42 | |
| 7 | 46 | |
| 8 | 0 | |
| 9 | 143 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm. | 2 |
About Hanuman Verma
Hanuman Verma is a scholar working on Neurology, Media Technology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 426 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Multi-Criteria Decision Making (4 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Media Technology (88 citations), Computer Vision and Pattern Recognition (199 citations) and Neurology (66 citations). Hanuman Verma has collaborated with scholars based in India, United Kingdom and Australia. Frequent co-authors include R. K. Agrawal, Aditi Sharan, Dhirendra Kumar, Akshansh Gupta, Aparna Mehra, Naveen Kumar, Mukesh Prasad, Javier Andreu-Pérez, M. Tanveer and Chin‐Teng Lin. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Pattern Recognition Letters.
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.