Dhirendra Kumar
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
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- Blind Source Separation Techniques 5
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- Medical Image Segmentation Techniques 9
- Image Retrieval and Classification Techniques 7
- Co-authors
- Ramesh Kumar Agrawal (7 shared papers)Hanuman Verma (4 shared papers)Akshansh Gupta (6 shared papers)D. Satyanarayana (2 shared papers)M. N. Giri Prasad (2 shared papers)Aparna Mehra (1 shared paper)Mohammad Tanveer (3 shared papers)Anirban Chakraborti (4 shared papers)
- Journals
- Multimedia Tools and Applications (5 papers)Applied Soft Computing (2 papers)Computers & Electrical Engineering (2 papers)Soft Computing (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- IndiaAustraliaUnited Kingdom
In The Last Decade
Dhirendra Kumar
26 papers receiving 351 citations
Peers
Comparison fields: 5 of 76
- Neurology 74
- Computer Vision and Pattern Recognition 188
- Media Technology 61
- Artificial Intelligence 118
- Signal Processing 35
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2020 | 44 | |
| 3 | 2019 | 43 | |
| 4 | 2019 | 42 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 26 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2025 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 4 |
About Dhirendra Kumar
Dhirendra Kumar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence and Neurology, having authored 33 papers that have together received 369 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Image Retrieval and Classification Techniques (7 papers), Remote-Sensing Image Classification (7 papers), EEG and Brain-Computer Interfaces (5 papers), Blind Source Separation Techniques (5 papers), Advanced Clustering Algorithms Research (5 papers), Multi-Criteria Decision Making (4 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Neurology (74 citations), Computer Vision and Pattern Recognition (188 citations), Media Technology (61 citations), Artificial Intelligence (118 citations) and Signal Processing (35 citations). Dhirendra Kumar has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include Ramesh Kumar Agrawal, Hanuman Verma, Akshansh Gupta, D. Satyanarayana, M. N. Giri Prasad, Aparna Mehra, Mohammad Tanveer, Anirban Chakraborti, Vinod Kumar Singh and Ram Bilas Pachori. Their work appears in journals such as Multimedia Tools and Applications, Applied Soft Computing, Computers & Electrical Engineering, Soft Computing and Neural Computing and Applications.
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.