Palash Ghosal
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Neural Network Applications 6
- Medical Image Segmentation Techniques 3
-
- AI in cancer detection 4
- Machine Learning and ELM 2
- Co-authors
- Debashis Nandi (11 shared papers)Jayasree Chakraborty (3 shared papers)Dipayan Das (1 shared paper)Rohit Agarwal (2 shared papers)Neha Upadhyay (1 shared paper)Anup Sadhu (2 shared papers)A. L. Sharma (4 shared papers)Ashis Datta (2 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (4 papers)Multimedia Tools and Applications (2 papers)Engineering Applications of Artificial Intelligence (1 paper)The Visual Computer (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Palash Ghosal
19 papers receiving 328 citations
Peers
Comparison fields: 5 of 53
- Neurology 159
- Computer Vision and Pattern Recognition 166
- Radiology, Nuclear Medicine and Imaging 85
- Artificial Intelligence 86
- Media Technology 17
Countries citing papers authored by Palash Ghosal
This map shows the geographic impact of Palash Ghosal'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 Palash Ghosal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Palash Ghosal more than expected).
Fields of papers citing papers by Palash Ghosal
This network shows the impact of papers produced by Palash Ghosal. 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 Palash Ghosal. The network helps show where Palash Ghosal may publish in the future.
Co-authors
The 13 scholars most cited alongside Palash Ghosal, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2020 | 68 | |
| 3 | 2024 | 32 | |
| 4 | 2022 | 20 | |
| 5 | 2024 | 19 | |
| 6 | 2019 | 13 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2025 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Palash Ghosal
Palash Ghosal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Brain Tumor Detection and Classification (5 papers), AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Image Processing Techniques and Applications (2 papers), Machine Learning and ELM (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Neurology (159 citations), Computer Vision and Pattern Recognition (166 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Artificial Intelligence (86 citations) and Media Technology (17 citations). Palash Ghosal has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Debashis Nandi, Jayasree Chakraborty, Dipayan Das, Rohit Agarwal, Neha Upadhyay, Anup Sadhu, A. L. Sharma, Ashis Datta, Kalpana Sharma and Samarjeet Borah. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Multimedia Tools and Applications, Engineering Applications of Artificial Intelligence, The Visual Computer and Knowledge and Information Systems.
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.