Dipak Kumar Kole
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Plant Science
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hafizur RahamanDebesh K. DasBhargab B. BhattacharyaAruna ChakrabortyD. Dutta MajumderDariusz PlewczyńskiDebotosh BhattacharjeeSubhadip Basu
- Topics
- Quantum Computing Algorithms and Architecture (16 papers)Quantum-Dot Cellular Automata (11 papers)Low-power high-performance VLSI design (7 papers)
- Journals
- Computers and Electronics in AgricultureComputers & Electrical EngineeringSN Computer Science
- Partner nations
- IndiaPolandUnited Kingdom
In The Last Decade
Dipak Kumar Kole
35 papers receiving 375 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 202
- Electrical and Electronic Engineering 120
- Plant Science 108
- Computational Theory and Mathematics 102
- Computer Vision and Pattern Recognition 91
Countries citing papers authored by Dipak Kumar Kole
This map shows the geographic impact of Dipak Kumar Kole'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 Dipak Kumar Kole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipak Kumar Kole more than expected).
Fields of papers citing papers by Dipak Kumar Kole
This network shows the impact of papers produced by Dipak Kumar Kole. 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 Dipak Kumar Kole. The network helps show where Dipak Kumar Kole may publish in the future.
Co-authorship network of co-authors of Dipak Kumar Kole
This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Kumar Kole. A scholar is included among the top collaborators of Dipak Kumar Kole 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 Dipak Kumar Kole. Dipak Kumar Kole 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 | 15 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 43 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 4 | |
| 20 | 2 |
About Dipak Kumar Kole
Dipak Kumar Kole is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 423 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (16 papers), Quantum-Dot Cellular Automata (11 papers) and Low-power high-performance VLSI design (7 papers). The work is most often cited by research in Computational Theory and Mathematics (102 citations), Artificial Intelligence (202 citations) and Analytical Chemistry (61 citations). Dipak Kumar Kole has collaborated with scholars based in India, Poland and United Kingdom. Frequent co-authors include Hafizur Rahaman, Debesh K. Das, Bhargab B. Bhattacharya, Aruna Chakraborty, D. Dutta Majumder, Dariusz Plewczyński, Debotosh Bhattacharjee, Subhadip Basu, Dipak K. Das and Arnab Kumar Maji. Their work appears in journals such as Computers and Electronics in Agriculture, Computers & Electrical Engineering and SN 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.