Palash Ghosal
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Neural Network Applications 7
- Medical Image Segmentation Techniques 5
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- Brain Tumor Detection and Classification 9
- Co-authors
- Debashis Nandi (11 shared papers)Jayasree Chakraborty (3 shared papers)Dipayan Das (1 shared paper)Neha Upadhyay (1 shared paper)Rohit Agarwal (2 shared papers)Anup Sadhu (2 shared papers)A. L. Sharma (2 shared papers)Kalpana Sharma (2 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (4 papers)Multimedia Tools and Applications (2 papers)Computers in Biology and Medicine (1 paper)Computers & Electrical Engineering (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Palash Ghosal
18 papers receiving 309 citations
Peers
Comparison fields: 5 of 54
- Neurology 168
- Computer Vision and Pattern Recognition 171
- Radiology, Nuclear Medicine and Imaging 89
- Artificial Intelligence 91
- Media Technology 23
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 12 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2020 | 66 | |
| 3 | 2024 | 28 | |
| 4 | 2022 | 18 | |
| 5 | 2024 | 17 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Palash Ghosal
Palash Ghosal is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Epidemiology and Oncology, having authored 21 papers that have together received 315 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (9 papers), Advanced Neural Network Applications (7 papers), AI in cancer detection (5 papers), Medical Image Segmentation Techniques (5 papers), Cutaneous Melanoma Detection and Management (3 papers), Robotics and Sensor-Based Localization (2 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Neurology (168 citations), Computer Vision and Pattern Recognition (171 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Artificial Intelligence (91 citations) and Media Technology (23 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, Neha Upadhyay, Rohit Agarwal, Anup Sadhu, A. L. Sharma, Kalpana Sharma, Ashis Datta and Umapada Pal. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Multimedia Tools and Applications, Computers in Biology and Medicine, Computers & Electrical Engineering 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.