Logesh Ravi
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Blockchain Technology Applications and Security
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- Recommender Systems and Techniques 26
- Blockchain Technology Applications and Security 11
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- Advanced Steganography and Watermarking Techniques 8
- Chaos-based Image/Signal Encryption 6
- Digital Media Forensic Detection 6
- Co-authors
- V. Subramaniyaswamy (89 shared papers)V. Vijayakumar (35 shared papers)V. Indragandhi (20 shared papers)Malathi Devarajan (22 shared papers)Sudhakar Sengan (10 shared papers)A. Sasikumar (19 shared papers)S. Sudhakar (1 shared paper)C. Sathiya Kumar (1 shared paper)
In The Last Decade
Logesh Ravi
106 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 144
- Information Systems 875
- Computer Networks and Communications 705
- Health Information Management 141
- Computer Vision and Pattern Recognition 606
- Energy Engineering and Power Technology 86
Countries citing papers authored by Logesh Ravi
This map shows the geographic impact of Logesh Ravi'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 Logesh Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Logesh Ravi more than expected).
Fields of papers citing papers by Logesh Ravi
This network shows the impact of papers produced by Logesh Ravi. 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 Logesh Ravi. The network helps show where Logesh Ravi may publish in the future.
Co-authors
The 25 scholars most cited alongside Logesh Ravi, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 226 | |
| 2 | 2018 | 193 | |
| 3 | 2019 | 133 | |
| 4 | 2018 | 102 | |
| 5 | 2018 | 95 | |
| 6 | 2016 | 88 | |
| 7 | 2022 | 84 | |
| 8 | 2016 | 79 | |
| 9 | 2017 | 79 | |
| 10 | 2020 | 73 | |
| 11 | 2017 | 72 | |
| 12 | 2018 | 72 | |
| 13 | 2019 | 67 | |
| 14 | 2019 | 66 | |
| 15 | 2021 | 66 | |
| 16 | 2018 | 62 | |
| 17 | 2017 | 61 | |
| 18 | 2019 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2019 | 40 |
About Logesh Ravi
Logesh Ravi is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 116 papers that have together received 2.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (26 papers), Caching and Content Delivery (15 papers), IoT and Edge/Fog Computing (14 papers), Human Mobility and Location-Based Analysis (13 papers), Blockchain Technology Applications and Security (11 papers), Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (6 papers) and Digital Media Forensic Detection (6 papers). The work is most often cited by research in Information Systems (875 citations), Computer Networks and Communications (705 citations), Health Information Management (141 citations), Computer Vision and Pattern Recognition (606 citations) and Energy Engineering and Power Technology (86 citations). Logesh Ravi has collaborated with scholars based in India, Australia and China. Frequent co-authors include V. Subramaniyaswamy, V. Vijayakumar, V. Indragandhi, Malathi Devarajan, Sudhakar Sengan, A. Sasikumar, S. Sudhakar, C. Sathiya Kumar, V. Priya and Ketan Kotecha. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, Computers & Electrical Engineering, Wireless Personal Communications and Multimedia Tools and Applications.
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.