Ramchandra Manthalkar
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Cardiology and Cardiovascular Medicine
- Co-authors
- Prabir Kumar BiswasΒ.N. ChatterjiYashwant JoshiSuhas GajreVijaya R. ThoolNeeta DeshpandeIrraivan ElamvazuthiVivek Joshi
- Topics
- EEG and Brain-Computer Interfaces (13 papers)Image Retrieval and Classification Techniques (9 papers)Medical Image Segmentation Techniques (5 papers)
In The Last Decade
Ramchandra Manthalkar
48 papers receiving 434 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 191
- Cognitive Neuroscience 125
- Artificial Intelligence 64
- Computer Networks and Communications 55
- Cardiology and Cardiovascular Medicine 40
Countries citing papers authored by Ramchandra Manthalkar
This map shows the geographic impact of Ramchandra Manthalkar'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 Ramchandra Manthalkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramchandra Manthalkar more than expected).
Fields of papers citing papers by Ramchandra Manthalkar
This network shows the impact of papers produced by Ramchandra Manthalkar. 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 Ramchandra Manthalkar. The network helps show where Ramchandra Manthalkar may publish in the future.
Co-authorship network of co-authors of Ramchandra Manthalkar
This figure shows the co-authorship network connecting the top 25 collaborators of Ramchandra Manthalkar. A scholar is included among the top collaborators of Ramchandra Manthalkar 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 Ramchandra Manthalkar. Ramchandra Manthalkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | 13 | |
| 8 | 15 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | On the sparsest representation of electrocardiograms | 0 |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 5 |
About Ramchandra Manthalkar
Ramchandra Manthalkar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience, having authored 51 papers that have together received 497 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Image Retrieval and Classification Techniques (9 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Cognitive Neuroscience (125 citations) and Media Technology (39 citations). Ramchandra Manthalkar has collaborated with scholars based in India, Nepal and Malaysia. Frequent co-authors include Prabir Kumar Biswas, Β.N. Chatterji, Yashwant Joshi, Suhas Gajre, Vijaya R. Thool, Neeta Deshpande, Irraivan Elamvazuthi, Vivek Joshi, Madhuri S. Joshi and Soumya Jana. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition Letters and Computer Networks.
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.