Logesh Ravi

86 papers receiving 1.8k citations

Logesh Ravi's Hit Papers

Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires 2019 · 246 citations
2460+2+4Years since publication50100150200

Peers

Logesh Ravi
Comparison fields: 5 of 126
  • Energy Engineering and Power Technology 87
  • Information Systems 467
  • Computer Networks and Communications 440
  • Computer Vision and Pattern Recognition 384
  • Health Information Management 66
Replace V. Subramaniyaswamy with:
V. Subramaniyaswamy India
Saif ul Islam Pakistan
Sheraz Aslam Pakistan
A. B. M. Shawkat Ali Australia
Shabir Ahmad South Korea
Muhammad Shoaib Pakistan
Rabindra Nath Shaw India
Giovanni Pau Italy
Katarina Grolinger Canada
M. Hadi Amini United States
Logesh Ravi relative to V. Subramaniyaswamy India V. Subramaniyaswamy's profile →
Citations per field
00.5×1.5×2×2.3×
V. Subramaniyaswamy · 1×
Citations per year

Countries citing papers authored by Logesh Ravi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Logesh Ravi Line = papers co-authored together Logesh Ravi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires
Hit paper breakdown →
2019246
2 2019141
3 2018105
4 202298
5 201691
6 201686
7 201983
8 202080
9 202177
10 201850
11 201846
12 201945
13 202141
14 202237
15 202229
16 201528
17 202125
18 202025
19 202425
20 202124

About Logesh Ravi

Logesh Ravi is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (15 papers), IoT and Edge/Fog Computing (12 papers), Blockchain Technology Applications and Security (11 papers), Advanced Steganography and Watermarking Techniques (7 papers), Caching and Content Delivery (7 papers), Human Mobility and Location-Based Analysis (7 papers), Digital Media Forensic Detection (5 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (87 citations), Information Systems (467 citations), Computer Networks and Communications (440 citations), Computer Vision and Pattern Recognition (384 citations) and Health Information Management (66 citations). Logesh Ravi has collaborated with scholars based in India, Australia and Saudi Arabia. Frequent co-authors include V. Subramaniyaswamy, V. Indragandhi, Malathi Devarajan, Sudhakar Sengan, V. Vijayakumar, S. Sudhakar, C. Sathiya Kumar, V. Priya, A. Sasikumar and Ketan Kotecha. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, Computers & Electrical Engineering, Multimedia Tools and Applications and Computational Intelligence and Neuroscience.

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.

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