Debanjan Konar
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Information Systems top 10%
- Co-authors
- Siddhartha BhattacharyyaBijaya Ketan PanigrahiKalpana SharmaRichard JiangTapan Kumar GandhiNilanjan DeyMousumi GuptaNabendu Chaki
- Topics
- Advanced Memory and Neural Computing (6 papers)Brain Tumor Detection and Classification (6 papers)Neural Networks and Applications (5 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Debanjan Konar
29 papers receiving 419 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 77
- Radiology, Nuclear Medicine and Imaging 75
- Computer Networks and Communications 54
- Information Systems 51
Countries citing papers authored by Debanjan Konar
This map shows the geographic impact of Debanjan Konar'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 Debanjan Konar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debanjan Konar more than expected).
Fields of papers citing papers by Debanjan Konar
This network shows the impact of papers produced by Debanjan Konar. 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 Debanjan Konar. The network helps show where Debanjan Konar may publish in the future.
Co-authorship network of co-authors of Debanjan Konar
This figure shows the co-authorship network connecting the top 25 collaborators of Debanjan Konar. A scholar is included among the top collaborators of Debanjan Konar 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 Debanjan Konar. Debanjan Konar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 44 | |
| 10 | 32 | |
| 11 | 32 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 38 | |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 1 |
About Debanjan Konar
Debanjan Konar is a scholar working on Neurology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 433 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Brain Tumor Detection and Classification (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (221 citations), Health Informatics (6 citations) and Health Information Management (20 citations). Debanjan Konar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Kalpana Sharma, Siddhartha Bhattacharyya, Richard Jiang, Tapan Kumar Gandhi, Nilanjan Dey, Mousumi Gupta, Nabendu Chaki and Konstantinos G. Arvanitis. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Applied Soft Computing.
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.