T. Ravi
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Neural Networks and Applications
Papers in
-
- Power Quality and Harmonics 5
- Power Transformer Diagnostics and Insulation 2
-
- Neural Networks and Applications 2
- Advanced Clustering Algorithms Research 2
- Co-authors
- K. Chidananda Gowda (3 shared papers)J. Albert Mayan (1 shared paper)C. Dhanamjayulu (2 shared papers)K. Sathish Kumar (1 shared paper)R Prasanna Kumar (1 shared paper)Mohan Gurusamy (1 shared paper)B. Zorina Khan (1 shared paper)Rajalakshmi Krishnamurthi (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)Scientific Reports (1 paper)Frontiers in Energy Research (1 paper)Indian Journal of Science and Technology (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaEthiopiaSouth Africa
In The Last Decade
T. Ravi
15 papers receiving 240 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 44
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 46
- Statistics and Probability 18
- Energy Engineering and Power Technology 6
Countries citing papers authored by T. Ravi
This map shows the geographic impact of T. 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 T. Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ravi more than expected).
Fields of papers citing papers by T. Ravi
This network shows the impact of papers produced by T. 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 T. Ravi. The network helps show where T. Ravi may publish in the future.
Co-authors
The 10 scholars most cited alongside T. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 62 | |
| 2 | 1995 | 51 | |
| 3 | 1999 | 26 | |
| 4 | 2023 | 23 | |
| 5 | 1999 | 18 | |
| 6 | 2014 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2023 | 6 | |
| 11 | 2011 | 6 | |
| 12 | 2012 | 5 | |
| 13 | 2013 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2013 | 1 | |
| 16 | 2002 | 1 | |
| 17 | 2023 | 0 |
About T. Ravi
T. Ravi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Information Systems, Control and Systems Engineering and Signal Processing, having authored 17 papers that have together received 257 indexed citations. Recurring topics across this work include Power Quality and Harmonics (5 papers), Data Management and Algorithms (2 papers), Power Transformer Diagnostics and Insulation (2 papers), Neural Networks and Applications (2 papers), Microgrid Control and Optimization (2 papers), Advanced Battery Technologies Research (2 papers), Advanced Clustering Algorithms Research (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Signal Processing (44 citations), Artificial Intelligence (122 citations), Computer Vision and Pattern Recognition (46 citations), Statistics and Probability (18 citations) and Energy Engineering and Power Technology (6 citations). T. Ravi has collaborated with scholars based in India, Ethiopia and South Africa. Frequent co-authors include K. Chidananda Gowda, J. Albert Mayan, C. Dhanamjayulu, K. Sathish Kumar, R Prasanna Kumar, Mohan Gurusamy, B. Zorina Khan, Rajalakshmi Krishnamurthi, Baseem Khan and S. Jayaprakash. Their work appears in journals such as Pattern Recognition Letters, Scientific Reports, Frontiers in Energy Research, Indian Journal of Science and Technology and IEEE Access.
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.