Amartya Mukherjee
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Nilanjan DeyDebashis DeRubén González CrespoEnrique Herrera‐ViedmaBijaya Ketan PanigrahiAboul Ella HassanienAmira S. AshourJoão Manuel R. S. Tavares
- Topics
- UAV Applications and Optimization (12 papers)Opportunistic and Delay-Tolerant Networks (7 papers)IoT and Edge/Fog Computing (6 papers)
In The Last Decade
Amartya Mukherjee
23 papers receiving 341 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 163
- Electrical and Electronic Engineering 102
- Aerospace Engineering 99
- Computer Vision and Pattern Recognition 69
- Artificial Intelligence 40
Countries citing papers authored by Amartya Mukherjee
This map shows the geographic impact of Amartya Mukherjee'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 Amartya Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amartya Mukherjee more than expected).
Fields of papers citing papers by Amartya Mukherjee
This network shows the impact of papers produced by Amartya Mukherjee. 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 Amartya Mukherjee. The network helps show where Amartya Mukherjee may publish in the future.
Co-authorship network of co-authors of Amartya Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Amartya Mukherjee. A scholar is included among the top collaborators of Amartya Mukherjee 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 Amartya Mukherjee. Amartya Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 53 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | 19 | |
| 10 | 43 | |
| 11 | 18 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 38 | |
| 15 | 3 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Amartya Mukherjee
Amartya Mukherjee is a scholar working on Computer Networks and Communications, Aerospace Engineering and Developmental Biology, having authored 27 papers that have together received 352 indexed citations. Recurring topics across this work include UAV Applications and Optimization (12 papers), Opportunistic and Delay-Tolerant Networks (7 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Computer Networks and Communications (163 citations), Aerospace Engineering (99 citations) and Computer Vision and Pattern Recognition (69 citations). Amartya Mukherjee has collaborated with scholars based in India, Egypt and Spain. Frequent co-authors include Nilanjan Dey, Debashis De, Rubén González Crespo, Enrique Herrera‐Viedma, Bijaya Ketan Panigrahi, Aboul Ella Hassanien, Amira S. Ashour, João Manuel R. S. Tavares, Ahmad Taher Azar and Redha Taı̈ar. Their work appears in journals such as Scientific Reports, Computer Communications and 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.