Debdatta Kandar
- Neurology top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Arnab Kumar MajiRuhul Amin HazarikaKhwairakpam AmitabSamarendra Nath SurAjith AbrahamBabu Sena PaulPetr KrejčíMichał Jasiński
- Topics
- Vehicular Ad Hoc Networks (VANETs) (15 papers)Brain Tumor Detection and Classification (10 papers)Advanced SAR Imaging Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessComputer Networks
- Partner nations
- IndiaSouth AfricaVietnam
In The Last Decade
Debdatta Kandar
53 papers receiving 572 citations
Peers
Comparison fields: 5 of 87
- Neurology 244
- Computer Vision and Pattern Recognition 200
- Artificial Intelligence 166
- Electrical and Electronic Engineering 108
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by Debdatta Kandar
This map shows the geographic impact of Debdatta Kandar'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 Debdatta Kandar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debdatta Kandar more than expected).
Fields of papers citing papers by Debdatta Kandar
This network shows the impact of papers produced by Debdatta Kandar. 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 Debdatta Kandar. The network helps show where Debdatta Kandar may publish in the future.
Co-authorship network of co-authors of Debdatta Kandar
This figure shows the co-authorship network connecting the top 25 collaborators of Debdatta Kandar. A scholar is included among the top collaborators of Debdatta Kandar 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 Debdatta Kandar. Debdatta Kandar 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 | 4 | |
| 3 | 2 | |
| 4 | 44 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 61 | |
| 11 | 3 | |
| 12 | 65 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | Vehicular communication and safety in realization of intelligent transport system | 3 |
About Debdatta Kandar
Debdatta Kandar is a scholar working on Neurology, Media Technology and Computer Networks and Communications, having authored 54 papers that have together received 615 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (15 papers), Brain Tumor Detection and Classification (10 papers) and Advanced SAR Imaging Techniques (8 papers). The work is most often cited by research in Neurology (244 citations), Health Information Management (68 citations) and Computer Vision and Pattern Recognition (200 citations). Debdatta Kandar has collaborated with scholars based in India, South Africa and Vietnam. Frequent co-authors include Arnab Kumar Maji, Ruhul Amin Hazarika, Khwairakpam Amitab, Samarendra Nath Sur, Ajith Abraham, Babu Sena Paul, Petr Krejčí, Michał Jasiński, Goutam Saha and Zbigniew Leonowicz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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.