Binsu C. Kovoor
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Environmental Engineering
- Management Science and Operations Research top 10%
- Topics
- Energy Load and Power Forecasting (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)Video Analysis and Summarization (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionEnergy Engineering and Power TechnologyArtificial Intelligence
- Journals
- The Journal of the Acoustical Society of AmericaEnergy Conversion and ManagementNeurocomputing
- Partner nations
- India
In The Last Decade
Binsu C. Kovoor
31 papers receiving 520 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Electrical and Electronic Engineering 258
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 133
- Environmental Engineering 62
- Management Science and Operations Research 56
Countries citing papers authored by Binsu C. Kovoor
This map shows the geographic impact of Binsu C. Kovoor'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 Binsu C. Kovoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binsu C. Kovoor more than expected).
Fields of papers citing papers by Binsu C. Kovoor
This network shows the impact of papers produced by Binsu C. Kovoor. 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 Binsu C. Kovoor. The network helps show where Binsu C. Kovoor may publish in the future.
Co-authorship network of co-authors of Binsu C. Kovoor
This figure shows the co-authorship network connecting the top 25 collaborators of Binsu C. Kovoor. A scholar is included among the top collaborators of Binsu C. Kovoor 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 Binsu C. Kovoor. Binsu C. Kovoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 50 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | 2 |
About Binsu C. Kovoor
Binsu C. Kovoor is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 37 papers that have together received 535 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Energy Engineering and Power Technology (20 citations) and Artificial Intelligence (177 citations). Binsu C. Kovoor has collaborated with scholars based in India. Frequent co-authors include K U Jaseena, K. Poulose Jacob, M. H. Supriya and Job Thomas. Their work appears in journals such as The Journal of the Acoustical Society of America, Energy Conversion and Management and Neurocomputing.
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.