Shibin Parameswaran
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 10%
- Computational Mechanics
- Aerospace Engineering
- Co-authors
- Kilian Q. WeinbergerCharles‐Alban DeledalleTruong Q. NguyenJosh HarguessTruong Quang NguyenLaurent DenisCheng‐Han LeeJeffrey Ellen
- Topics
- Advanced Neural Network Applications (6 papers)Infrared Target Detection Methodologies (5 papers)Image and Signal Denoising Methods (4 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyActa Astronautica
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Shibin Parameswaran
22 papers receiving 314 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 219
- Artificial Intelligence 155
- Media Technology 47
- Computational Mechanics 42
- Aerospace Engineering 35
Countries citing papers authored by Shibin Parameswaran
This map shows the geographic impact of Shibin Parameswaran'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 Shibin Parameswaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shibin Parameswaran more than expected).
Fields of papers citing papers by Shibin Parameswaran
This network shows the impact of papers produced by Shibin Parameswaran. 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 Shibin Parameswaran. The network helps show where Shibin Parameswaran may publish in the future.
Co-authorship network of co-authors of Shibin Parameswaran
This figure shows the co-authorship network connecting the top 25 collaborators of Shibin Parameswaran. A scholar is included among the top collaborators of Shibin Parameswaran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shibin Parameswaran. Shibin Parameswaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 22 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 25 | |
| 17 | Large Margin Multi-Task Metric Learning | 174 |
| 18 | 0 | |
| 19 | 15 | |
| 20 | Operations Management of INSAT Satellites | 1 |
About Shibin Parameswaran
Shibin Parameswaran is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 25 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Infrared Target Detection Methodologies (5 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Media Technology (47 citations) and Artificial Intelligence (155 citations). Shibin Parameswaran has collaborated with scholars based in United States, India and France. Frequent co-authors include Kilian Q. Weinberger, Charles‐Alban Deledalle, Truong Q. Nguyen, Josh Harguess, Truong Quang Nguyen, Laurent Denis, Cheng‐Han Lee, Jeffrey Ellen, Chirag G. Patil and Richard C. Ordoñez. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and Acta Astronautica.
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.