Ramesh Saha
Impact in
-
- IoT and Edge/Fog Computing
Papers in
-
- Opportunistic and Delay-Tolerant Networks 3
- IoT and Edge/Fog Computing 3
- Mobile Ad Hoc Networks 3
-
- Wireless Body Area Networks 6
- Molecular Communication and Nanonetworks 4
- Co-authors
- Suparna Biswas (10 shared papers)Pranesh Das (3 shared papers)Sushanta Karmakar (2 shared papers)Arunita Das (5 shared papers)Krishna Gopal Dhal (7 shared papers)Abdelazim G. Hussien (1 shared paper)Sohail Saif (3 shared papers)Ramraj Dangi (1 shared paper)
In The Last Decade
Ramesh Saha
15 papers receiving 217 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 64
- Health Information Management 7
- Biomedical Engineering 62
- Computer Vision and Pattern Recognition 28
- Cognitive Neuroscience 23
Countries citing papers authored by Ramesh Saha
This map shows the geographic impact of Ramesh Saha'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 Ramesh Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Saha more than expected).
Fields of papers citing papers by Ramesh Saha
This network shows the impact of papers produced by Ramesh Saha. 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 Ramesh Saha. The network helps show where Ramesh Saha may publish in the future.
Co-authors
The 18 scholars most cited alongside Ramesh Saha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 61 | |
| 2 | 2023 | 34 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 18 | |
| 5 | 2017 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2019 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ramesh Saha
Ramesh Saha is a scholar working on Computer Networks and Communications, Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 23 papers that have together received 227 indexed citations. Recurring topics across this work include Wireless Body Area Networks (6 papers), Context-Aware Activity Recognition Systems (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Molecular Communication and Nanonetworks (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), IoT and Edge/Fog Computing (3 papers), Mobile Ad Hoc Networks (3 papers) and Vehicular Ad Hoc Networks (VANETs) (2 papers). The work is most often cited by research in Computer Networks and Communications (64 citations), Health Information Management (7 citations), Biomedical Engineering (62 citations), Computer Vision and Pattern Recognition (28 citations) and Cognitive Neuroscience (23 citations). Ramesh Saha has collaborated with scholars based in India, Jordan and Egypt. Frequent co-authors include Suparna Biswas, Pranesh Das, Sushanta Karmakar, Arunita Das, Krishna Gopal Dhal, Abdelazim G. Hussien, Sohail Saif, Ramraj Dangi, Nidul Sinha and Rajdeep Ghosh. Their work appears in journals such as Archives of Computational Methods in Engineering, Wireless Personal Communications, Biomedical Signal Processing and Control, Computer Science Review and Optical Memory and Neural 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.