Ramgopal Kashyap
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- M. M. PathanJameer KotwalSyam Machinathu Parambil GangadharanAli RizwanDevvret VermaVivek TiwariSameer AlshehriRajit Nair
- Topics
- AI in cancer detection (11 papers)Medical Image Segmentation Techniques (10 papers)Smart Agriculture and AI (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryPattern Recognition Letters
- Partner nations
- IndiaUnited Arab EmiratesUnited States
In The Last Decade
Ramgopal Kashyap
39 papers receiving 905 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 230
- Computer Networks and Communications 165
- Information Systems 136
- Computer Vision and Pattern Recognition 128
- Radiology, Nuclear Medicine and Imaging 108
Countries citing papers authored by Ramgopal Kashyap
This map shows the geographic impact of Ramgopal Kashyap'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 Ramgopal Kashyap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramgopal Kashyap more than expected).
Fields of papers citing papers by Ramgopal Kashyap
This network shows the impact of papers produced by Ramgopal Kashyap. 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 Ramgopal Kashyap. The network helps show where Ramgopal Kashyap may publish in the future.
Co-authorship network of co-authors of Ramgopal Kashyap
This figure shows the co-authorship network connecting the top 25 collaborators of Ramgopal Kashyap. A scholar is included among the top collaborators of Ramgopal Kashyap 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 Ramgopal Kashyap. Ramgopal Kashyap 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 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | Agricultural plant diseases identification: From traditional approach to deep learningbreakdown → | 117 |
| 12 | 3 | |
| 13 | 54 | |
| 14 | 50 | |
| 15 | 47 | |
| 16 | 2 | |
| 17 | Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classificationbreakdown → | 81 |
| 18 | 11 | |
| 19 | 98 | |
| 20 | 24 |
About Ramgopal Kashyap
Ramgopal Kashyap is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Artificial Intelligence, having authored 52 papers that have together received 987 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Medical Image Segmentation Techniques (10 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (52 citations) and Computer Networks and Communications (165 citations). Ramgopal Kashyap has collaborated with scholars based in India, United Arab Emirates and United States. Frequent co-authors include M. M. Pathan, Jameer Kotwal, Syam Machinathu Parambil Gangadharan, Ali Rizwan, Devvret Verma, Vivek Tiwari, Sameer Alshehri, Rajit Nair, Miguel Botto-Tobar and Vaishali D. Khairnar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Pattern Recognition Letters.
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.