Pawan Kumar Mall
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 4
-
- AI in cancer detection 6
- Co-authors
- Vipul Narayan (4 shared papers)Pradeep Kumar Singh (3 shared papers)Divakar Yadav (1 shared paper)Pradeep Kumar Singh (2 shared papers)Marcin Paprzycki (1 shared paper)Maria Ganzha (1 shared paper)Anurag Gupta (1 shared paper)Mohammad Faiz (1 shared paper)
- Journals
- International Journal of Nanotechnology (2 papers)Wireless Personal Communications (1 paper)Journal of Food Quality (1 paper)Russian Physics Journal (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
In The Last Decade
Pawan Kumar Mall
9 papers receiving 286 citations
Pawan Kumar Mall's Hit Papers
Peers
Comparison fields: 5 of 90
- Health Informatics 20
- Radiology, Nuclear Medicine and Imaging 116
- Neurology 35
- Computer Vision and Pattern Recognition 80
- Artificial Intelligence 104
Countries citing papers authored by Pawan Kumar Mall
This map shows the geographic impact of Pawan Kumar Mall'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 Pawan Kumar Mall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Kumar Mall more than expected).
Fields of papers citing papers by Pawan Kumar Mall
This network shows the impact of papers produced by Pawan Kumar Mall. 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 Pawan Kumar Mall. The network helps show where Pawan Kumar Mall may publish in the future.
Co-authors
The 17 scholars most cited alongside Pawan Kumar Mall, 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 | A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities Hit paper breakdown → | 2023 | 144 |
| 2 | 2019 | 88 | |
| 3 | 2023 | 23 | |
| 4 | 2022 | 18 | |
| 5 | 2023 | 17 | |
| 6 | 2024 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2025 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 |
About Pawan Kumar Mall
Pawan Kumar Mall is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 13 papers that have together received 305 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (4 papers), Medical Imaging and Analysis (3 papers), Fluid Dynamics and Heat Transfer (1 paper), Metallurgy and Material Forming (1 paper), Medical Image Segmentation Techniques (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (116 citations), Neurology (35 citations), Computer Vision and Pattern Recognition (80 citations) and Artificial Intelligence (104 citations). Pawan Kumar Mall has collaborated with scholars based in India, Ethiopia and China. Frequent co-authors include Vipul Narayan, Pradeep Kumar Singh, Divakar Yadav, Pradeep Kumar Singh, Marcin Paprzycki, Maria Ganzha, Anurag Gupta, Mohammad Faiz, Xuan Tang and V. Saravanan. Their work appears in journals such as International Journal of Nanotechnology, Wireless Personal Communications, Journal of Food Quality, Russian Physics Journal and DOAJ (DOAJ: Directory of Open Access Journals).
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.