Deepaknath Tandur
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence
- Co-authors
- Marc MoonenAnitha VargheseK. V. SureshFlorian KaltenbergerGuillaume VivierPéter HorváthHung Tuan NguyenRizwan Ghaffar
- Topics
- Advanced Power Amplifier Design (12 papers)Radio Frequency Integrated Circuit Design (9 papers)Chaos-based Image/Signal Encryption (9 papers)
In The Last Decade
Deepaknath Tandur
41 papers receiving 672 citations
Peers
Comparison fields: 5 of 60
- Electrical and Electronic Engineering 363
- Computer Networks and Communications 216
- Computer Vision and Pattern Recognition 188
- Industrial and Manufacturing Engineering 76
- Artificial Intelligence 74
Countries citing papers authored by Deepaknath Tandur
This map shows the geographic impact of Deepaknath Tandur'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 Deepaknath Tandur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepaknath Tandur more than expected).
Fields of papers citing papers by Deepaknath Tandur
This network shows the impact of papers produced by Deepaknath Tandur. 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 Deepaknath Tandur. The network helps show where Deepaknath Tandur may publish in the future.
Co-authorship network of co-authors of Deepaknath Tandur
This figure shows the co-authorship network connecting the top 25 collaborators of Deepaknath Tandur. A scholar is included among the top collaborators of Deepaknath Tandur 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 Deepaknath Tandur. Deepaknath Tandur 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 19 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 158 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 20 | |
| 18 | 13 | |
| 19 | 17 | |
| 20 | 8 |
About Deepaknath Tandur
Deepaknath Tandur is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 44 papers that have together received 710 indexed citations. Recurring topics across this work include Advanced Power Amplifier Design (12 papers), Radio Frequency Integrated Circuit Design (9 papers) and Chaos-based Image/Signal Encryption (9 papers). The work is most often cited by research in Computer Networks and Communications (216 citations), Computer Vision and Pattern Recognition (188 citations) and Industrial and Manufacturing Engineering (76 citations). Deepaknath Tandur has collaborated with scholars based in India, Belgium and Denmark. Frequent co-authors include Marc Moonen, Anitha Varghese, K. V. Suresh, Florian Kaltenberger, Guillaume Vivier, Péter Horváth, Hung Tuan Nguyen, Rizwan Ghaffar, Raymond Knopp and István Z. Kovács. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing and Multimedia Tools and Applications.
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.