Palash Ghosal
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Co-authors
- Debashis NandiJayasree ChakrabortyNeha UpadhyayDipayan DasRohit AgarwalAnup SadhuA. L. SharmaAshis Datta
- Topics
- Brain Tumor Detection and Classification (9 papers)Advanced Neural Network Applications (7 papers)Medical Image Segmentation Techniques (5 papers)
- Journals
- Computer Methods and Programs in BiomedicineComputers in Biology and MedicineMultimedia Tools and Applications
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Palash Ghosal
18 papers receiving 309 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 171
- Neurology 168
- Artificial Intelligence 91
- Radiology, Nuclear Medicine and Imaging 89
- Biomedical Engineering 45
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-authorship network of co-authors of Palash Ghosal
This figure shows the co-authorship network connecting the top 25 collaborators of Palash Ghosal. A scholar is included among the top collaborators of Palash Ghosal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Palash Ghosal. Palash Ghosal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 28 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 18 | |
| 14 | 66 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 104 | |
| 20 | 13 |
About Palash Ghosal
Palash Ghosal is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, 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) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Neurology (168 citations), Computer Vision and Pattern Recognition (171 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Palash Ghosal has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Debashis Nandi, Jayasree Chakraborty, Neha Upadhyay, Dipayan Das, Rohit Agarwal, Anup Sadhu, A. L. Sharma, Ashis Datta, Kalpana Sharma and Palaiahnakote Shivakumara. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Computers in Biology and Medicine and Multimedia Tools 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.