Dhirendra Kumar
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
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- Medical Image Segmentation Techniques 8
- Image Retrieval and Classification Techniques 5
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- Blind Source Separation Techniques 4
- Co-authors
- Hanuman Verma (4 shared papers)R. K. Agrawal (6 shared papers)Akshansh Gupta (4 shared papers)M. N. Giri Prasad (2 shared papers)D. Satyanarayana (2 shared papers)Aparna Mehra (1 shared paper)M. Tanveer (3 shared papers)Ram Bilas Pachori (1 shared paper)
- Journals
- Multimedia Tools and Applications (5 papers)Neural Computing and Applications (2 papers)Soft Computing (2 papers)Applied Soft Computing (2 papers)Computers & Electrical Engineering (2 papers)
- Partner nations
- IndiaSouth KoreaAustralia
In The Last Decade
Dhirendra Kumar
24 papers receiving 328 citations
Peers
Comparison fields: 5 of 76
- Neurology 68
- Computer Vision and Pattern Recognition 177
- Media Technology 61
- Artificial Intelligence 114
- Signal Processing 34
Countries citing papers authored by Dhirendra Kumar
This map shows the geographic impact of Dhirendra Kumar'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 Dhirendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhirendra Kumar more than expected).
Fields of papers citing papers by Dhirendra Kumar
This network shows the impact of papers produced by Dhirendra Kumar. 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 Dhirendra Kumar. The network helps show where Dhirendra Kumar may publish in the future.
Co-authors
The 18 scholars most cited alongside Dhirendra Kumar, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 47 | |
| 2 | 2019 | 43 | |
| 3 | 2020 | 43 | |
| 4 | 2019 | 42 | |
| 5 | 2020 | 36 | |
| 6 | 2020 | 25 | |
| 7 | 2022 | 14 | |
| 8 | 2016 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2025 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 3 |
About Dhirendra Kumar
Dhirendra Kumar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Media Technology and Cognitive Neuroscience, having authored 27 papers that have together received 345 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Remote-Sensing Image Classification (7 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Clustering Algorithms Research (4 papers), Multi-Criteria Decision Making (4 papers), Blind Source Separation Techniques (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Neurology (68 citations), Computer Vision and Pattern Recognition (177 citations), Media Technology (61 citations), Artificial Intelligence (114 citations) and Signal Processing (34 citations). Dhirendra Kumar has collaborated with scholars based in India, South Korea and Australia. Frequent co-authors include Hanuman Verma, R. K. Agrawal, Akshansh Gupta, M. N. Giri Prasad, D. Satyanarayana, Aparna Mehra, M. Tanveer, Ram Bilas Pachori, Anirban Chakraborti and Vinod Kumar Singh. Their work appears in journals such as Multimedia Tools and Applications, Neural Computing and Applications, Soft Computing, Applied Soft Computing and Computers & Electrical Engineering.
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.