Gopalan Ravichandran
- Media Technology top 5%
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- Medical Image Segmentation Techniques 3
- Advanced Vision and Imaging 3
- Optical measurement and interference techniques 3
- Image and Signal Denoising Methods 2
- Oceanography top 10%
- Aerospace Engineering top 10%
- Infrared Target Detection Methodologies 3
- Ocean Engineering top 10%
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- Network Security and Intrusion Detection 5
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- Optical and Acousto-Optic Technologies 3
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- Optical Polarization and Ellipsometry 3
- Co-authors
- David CasasentMohan M. TrivediSrinivas BollapragadaAnand Krishnan V. IyerR. BaskaranMahesh Krishnamurthy
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- United StatesIndiaCzechia
In The Last Decade
Gopalan Ravichandran
20 papers receiving 358 citations
Peers
Comparison fields: 5 of 65
- Media Technology 103
- Computer Vision and Pattern Recognition 183
- Oceanography 83
- Aerospace Engineering 107
- Ocean Engineering 52
Countries citing papers authored by Gopalan Ravichandran
This map shows the geographic impact of Gopalan Ravichandran'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 Gopalan Ravichandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gopalan Ravichandran more than expected).
Fields of papers citing papers by Gopalan Ravichandran
This network shows the impact of papers produced by Gopalan Ravichandran. 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 Gopalan Ravichandran. The network helps show where Gopalan Ravichandran may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Gopalan Ravichandran, 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 | 2023 | 1 | |
| 2 | 2021 | 1 | |
| 3 | 2020 | 4 | |
| 4 | 2018 | 6 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 1 | |
| 8 | 2002 | 0 | |
| 9 | 2002 | 2 | |
| 10 | 1996 | 0 | |
| 11 | 1995 | 152 | |
| 12 | 1994 | 2 | |
| 13 | 1994 | 1 | |
| 14 | 1993 | 0 | |
| 15 | 1992 | 26 | |
| 16 | 1992 | 72 | |
| 17 | 1991 | 0 | |
| 18 | 1991 | 3 | |
| 19 | 1991 | 20 | |
| 20 | 1990 | 1 |
About Gopalan Ravichandran
Gopalan Ravichandran is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 26 papers that have together received 376 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Infrared Target Detection Methodologies (3 papers), Medical Image Segmentation Techniques (3 papers), Optical and Acousto-Optic Technologies (3 papers), Optical Polarization and Ellipsometry (3 papers), Advanced Vision and Imaging (3 papers), Optical measurement and interference techniques (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Media Technology (103 citations), Computer Vision and Pattern Recognition (183 citations) and Oceanography (83 citations). Gopalan Ravichandran has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include David Casasent, Mohan M. Trivedi, Srinivas Bollapragada, David Casasent, Anand Krishnan V. Iyer, R. Baskaran and Mahesh Krishnamurthy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.