Arvind Dhaka
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Digital Imaging for Blood Diseases
Papers in
- Neurology 14
- Brain Tumor Detection and Classification 14
-
- Advanced Image Fusion Techniques 6
- Co-authors
- Amita NandalArpit Kumar SharmaKemal PolatAdi AlhudhaifFayadh AleneziHamurabi Gamboa-RosalesLiang ZhouVidhyacharan Bhaskar
- Journals
- Wireless Personal Communications (4 papers)IEEE Access (4 papers)Scientific Reports (3 papers)Biomedical Signal Processing and Control (3 papers)Symmetry (2 papers)
- Partner nations
- IndiaChinaUnited States
In The Last Decade
Arvind Dhaka
40 papers receiving 352 citations
Peers
Comparison fields: 5 of 75
- Neurology 118
- Computer Vision and Pattern Recognition 169
- Media Technology 38
- Modeling and Simulation 16
- Artificial Intelligence 89
Countries citing papers authored by Arvind Dhaka
This map shows the geographic impact of Arvind Dhaka'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 Arvind Dhaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Dhaka more than expected).
Fields of papers citing papers by Arvind Dhaka
This network shows the impact of papers produced by Arvind Dhaka. 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 Arvind Dhaka. The network helps show where Arvind Dhaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arvind Dhaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 67 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 43 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 21 | |
| 19 | 2020 | 2 | |
| 20 | 2018 | 15 |
About Arvind Dhaka
Arvind Dhaka is a scholar working on Neurology, Media Technology, Computer Vision and Pattern Recognition, Statistics and Probability and Artificial Intelligence, having authored 48 papers that have together received 375 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (14 papers), AI in cancer detection (10 papers), Advanced MIMO Systems Optimization (7 papers), Advanced Image Fusion Techniques (6 papers), Advanced Wireless Communication Techniques (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Chaos-based Image/Signal Encryption (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Neurology (118 citations), Computer Vision and Pattern Recognition (169 citations), Media Technology (38 citations), Modeling and Simulation (16 citations) and Artificial Intelligence (89 citations). Arvind Dhaka has collaborated with scholars based in India, China and United States. Frequent co-authors include Amita Nandal, Arpit Kumar Sharma, Kemal Polat, Adi Alhudhaif, Fayadh Alenezi, Hamurabi Gamboa-Rosales, Liang Zhou, Vidhyacharan Bhaskar, Jorge I. Galván-Tejada and Carlos E. Galván-Tejada. Their work appears in journals such as Wireless Personal Communications, IEEE Access, Scientific Reports, Biomedical Signal Processing and Control and Symmetry.
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.