Debendra Muduli
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
- Neurology 14
- Brain Tumor Detection and Classification 14
-
- Digital Imaging for Blood Diseases 8
- Advanced Neural Network Applications 4
- Co-authors
- Banshidhar Majhi (6 shared papers)Ratnakar Dash (6 shared papers)Rakesh Ranjan Kumar (9 shared papers)Nikhat Parveen (6 shared papers)Santosh Kumar Sharma (14 shared papers)Jitesh Pradhan (2 shared papers)Abhinav Kumar (2 shared papers)Abu Taha Zamani (8 shared papers)
- Journals
- IEEE Access (4 papers)Scientific Reports (3 papers)Biomedical Signal Processing and Control (3 papers)Results in Engineering (3 papers)Neural Computing and Applications (1 paper)
- Partner nations
- IndiaLebanonSaudi Arabia
In The Last Decade
Debendra Muduli
43 papers receiving 581 citations
Peers
Comparison fields: 5 of 68
- Neurology 130
- Radiology, Nuclear Medicine and Imaging 226
- Artificial Intelligence 330
- Health Information Management 41
- Computer Vision and Pattern Recognition 143
Countries citing papers authored by Debendra Muduli
This map shows the geographic impact of Debendra Muduli'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 Debendra Muduli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debendra Muduli more than expected).
Fields of papers citing papers by Debendra Muduli
This network shows the impact of papers produced by Debendra Muduli. 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 Debendra Muduli. The network helps show where Debendra Muduli may publish in the future.
Co-authors
The 25 scholars most cited alongside Debendra Muduli, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 137 | |
| 2 | 2020 | 130 | |
| 3 | 2021 | 61 | |
| 4 | 2023 | 43 | |
| 5 | 2023 | 37 | |
| 6 | 2023 | 25 | |
| 7 | 2021 | 22 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2025 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Debendra Muduli
Debendra Muduli is a scholar working on Neurology, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 70 papers that have together received 602 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (14 papers), AI in cancer detection (11 papers), Digital Imaging for Blood Diseases (8 papers), COVID-19 diagnosis using AI (7 papers), Retinal Imaging and Analysis (7 papers), Machine Learning and ELM (6 papers), Cutaneous Melanoma Detection and Management (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Neurology (130 citations), Radiology, Nuclear Medicine and Imaging (226 citations), Artificial Intelligence (330 citations), Health Information Management (41 citations) and Computer Vision and Pattern Recognition (143 citations). Debendra Muduli has collaborated with scholars based in India, Lebanon and Saudi Arabia. Frequent co-authors include Banshidhar Majhi, Ratnakar Dash, Rakesh Ranjan Kumar, Nikhat Parveen, Santosh Kumar Sharma, Jitesh Pradhan, Abhinav Kumar, Abu Taha Zamani, Rojalina Priyadarshini and Sultan Munadi Alanazi. Their work appears in journals such as IEEE Access, Scientific Reports, Biomedical Signal Processing and Control, Results in Engineering 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.