Ramanujan S. Kashi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Information Systems top 10%
- Media Technology top 10%
- Signal Processing
- Co-authors
- Daniel LoprestiGordon WilfongJianying HuJiankun HuW. L. NelsonWilliam TurinThomas V. PapathomasAndrei Goréa
- Topics
- Handwritten Text Recognition Techniques (6 papers)Algorithms and Data Compression (4 papers)Visual perception and processing mechanisms (3 papers)
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)Optical EngineeringLecture notes in computer science
- Partner nations
- United StatesBermudaGermany
In The Last Decade
Ramanujan S. Kashi
12 papers receiving 282 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 260
- Artificial Intelligence 88
- Information Systems 55
- Media Technology 40
- Signal Processing 30
Countries citing papers authored by Ramanujan S. Kashi
This map shows the geographic impact of Ramanujan S. Kashi'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 Ramanujan S. Kashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramanujan S. Kashi more than expected).
Fields of papers citing papers by Ramanujan S. Kashi
This network shows the impact of papers produced by Ramanujan S. Kashi. 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 Ramanujan S. Kashi. The network helps show where Ramanujan S. Kashi may publish in the future.
Co-authorship network of co-authors of Ramanujan S. Kashi
This figure shows the co-authorship network connecting the top 25 collaborators of Ramanujan S. Kashi. A scholar is included among the top collaborators of Ramanujan S. Kashi 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 Ramanujan S. Kashi. Ramanujan S. Kashi 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 | 2 | |
| 3 | 63 | |
| 4 | 0 | |
| 5 | Proceedings of the 5th International Workshop on Document Analysis Systems V | 1 |
| 6 | 19 | |
| 7 | 54 | |
| 8 | 34 | |
| 9 | 20 | |
| 10 | 59 | |
| 11 | 29 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 21 |
About Ramanujan S. Kashi
Ramanujan S. Kashi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Algorithms and Data Compression (4 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Media Technology (40 citations) and Signal Processing (30 citations). Ramanujan S. Kashi has collaborated with scholars based in United States, Bermuda and Germany. Frequent co-authors include Daniel Lopresti, Gordon Wilfong, Jianying Hu, Jiankun Hu, W. L. Nelson, William Turin, Thomas V. Papathomas, Andrei Goréa, Richard S. Nowakowski and Béla Julesz. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Optical Engineering and Lecture notes in computer science.
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.