J. Logeshwaran
Impact in
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- IoT and Edge/Fog Computing
- Smart Systems and Machine Learning
- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
- Information Systems top 1%
- Internet of Things and AI
Papers in
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- IoT and Edge/Fog Computing 19
-
- AI in cancer detection 12
- Co-authors
- T. Kiruthiga (15 shared papers)Jaime Lloret (5 shared papers)Shanmugasundaram Nallasamy (2 shared papers)Nirmal Adhikari (3 shared papers)G. Ramesh (4 shared papers)Vaibhav Rajan (4 shared papers)Shobhit K. Patel (7 shared papers)Krishna Bikram Shah (2 shared papers)
- Journals
- Applied Soft Computing (2 papers)Heliyon (2 papers)Future Internet (1 paper)IEEE Communications Standards Magazine (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
J. Logeshwaran
87 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 120
- Computer Networks and Communications 565
- Information Systems 526
- Health Information Management 48
- Artificial Intelligence 248
- Neurology 58
Countries citing papers authored by J. Logeshwaran
This map shows the geographic impact of J. Logeshwaran'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 J. Logeshwaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Logeshwaran more than expected).
Fields of papers citing papers by J. Logeshwaran
This network shows the impact of papers produced by J. Logeshwaran. 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 J. Logeshwaran. The network helps show where J. Logeshwaran may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Logeshwaran, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 79 | |
| 2 | 2022 | 74 | |
| 3 | 2022 | 71 | |
| 4 | 2019 | 68 | |
| 5 | 2023 | 60 | |
| 6 | 2022 | 58 | |
| 7 | 2023 | 55 | |
| 8 | 2022 | 54 | |
| 9 | 2017 | 54 | |
| 10 | 2022 | 50 | |
| 11 | 2024 | 45 | |
| 12 | 2023 | 43 | |
| 13 | 2023 | 39 | |
| 14 | 2023 | 38 | |
| 15 | 2023 | 38 | |
| 16 | 2023 | 37 | |
| 17 | 2022 | 36 | |
| 18 | 2023 | 35 | |
| 19 | 2023 | 31 | |
| 20 | 2023 | 28 |
About J. Logeshwaran
J. Logeshwaran is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), AI in cancer detection (12 papers), Advanced MIMO Systems Optimization (11 papers), Internet of Things and AI (10 papers), Advanced Wireless Communication Technologies (7 papers), Artificial Intelligence in Healthcare (7 papers), Blockchain Technology Applications and Security (7 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Computer Networks and Communications (565 citations), Information Systems (526 citations), Health Information Management (48 citations), Artificial Intelligence (248 citations) and Neurology (58 citations). J. Logeshwaran has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include T. Kiruthiga, Jaime Lloret, Shanmugasundaram Nallasamy, Nirmal Adhikari, G. Ramesh, Vaibhav Rajan, Shobhit K. Patel, Krishna Bikram Shah, S. Raja and Ammar Armghan. Their work appears in journals such as Applied Soft Computing, Heliyon, Future Internet, IEEE Communications Standards Magazine and Scientific Reports.
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.