Chayan Sarkar
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Ramjee PrasadAbdur RahimSubhalaxmi NambiRicardo NeisseSurapong UttamaGianmarco BaldiniVijay S. RaoArindam Pal
- Topics
- Energy Efficient Wireless Sensor Networks (11 papers)IoT and Edge/Fog Computing (7 papers)Multimodal Machine Learning Applications (6 papers)
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Partner nations
- NetherlandsIndiaItaly
In The Last Decade
Chayan Sarkar
41 papers receiving 520 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 327
- Computer Vision and Pattern Recognition 149
- Electrical and Electronic Engineering 131
- Information Systems 106
- Artificial Intelligence 78
Countries citing papers authored by Chayan Sarkar
This map shows the geographic impact of Chayan Sarkar'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 Chayan Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chayan Sarkar more than expected).
Fields of papers citing papers by Chayan Sarkar
This network shows the impact of papers produced by Chayan Sarkar. 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 Chayan Sarkar. The network helps show where Chayan Sarkar may publish in the future.
Co-authorship network of co-authors of Chayan Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Chayan Sarkar. A scholar is included among the top collaborators of Chayan Sarkar 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 Chayan Sarkar. Chayan Sarkar 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 24 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 18 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 25 | |
| 19 | 48 | |
| 20 | 98 |
About Chayan Sarkar
Chayan Sarkar is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 555 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (11 papers), IoT and Edge/Fog Computing (7 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (327 citations), Industrial and Manufacturing Engineering (77 citations) and Computer Vision and Pattern Recognition (149 citations). Chayan Sarkar has collaborated with scholars based in Netherlands, India and Italy. Frequent co-authors include Ramjee Prasad, Abdur Rahim, Subhalaxmi Nambi, Ricardo Neisse, Surapong Uttama, Gianmarco Baldini, Vijay S. Rao, Arindam Pal, Rachel Cardell‐Oliver and Brojeshwar Bhowmick. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Internet of Things Journal.
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.