Ravi Kumar Satzoda
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Mohan M. TrivediThambipillai SrikanthanS. SuchitraChip-Hong ChangThomas B. MoeslundVijay MahadevanHui DingYuting Zhang
- Topics
- Autonomous Vehicle Technology and Safety (26 papers)Video Surveillance and Tracking Methods (14 papers)Image and Object Detection Techniques (8 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- United StatesSingaporeDenmark
In The Last Decade
Ravi Kumar Satzoda
44 papers receiving 778 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 511
- Automotive Engineering 417
- Artificial Intelligence 124
- Electrical and Electronic Engineering 111
- Biomedical Engineering 68
Countries citing papers authored by Ravi Kumar Satzoda
This map shows the geographic impact of Ravi Kumar Satzoda'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 Ravi Kumar Satzoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Kumar Satzoda more than expected).
Fields of papers citing papers by Ravi Kumar Satzoda
This network shows the impact of papers produced by Ravi Kumar Satzoda. 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 Ravi Kumar Satzoda. The network helps show where Ravi Kumar Satzoda may publish in the future.
Co-authorship network of co-authors of Ravi Kumar Satzoda
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Kumar Satzoda. A scholar is included among the top collaborators of Ravi Kumar Satzoda 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 Ravi Kumar Satzoda. Ravi Kumar Satzoda 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 | 5 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 34 | |
| 7 | 7 | |
| 8 | 49 | |
| 9 | 85 | |
| 10 | 66 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | Accelerating CORDIC for hough transform | 1 |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Ravi Kumar Satzoda
Ravi Kumar Satzoda is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 45 papers that have together received 810 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (26 papers), Video Surveillance and Tracking Methods (14 papers) and Image and Object Detection Techniques (8 papers). The work is most often cited by research in Automotive Engineering (417 citations), Computer Vision and Pattern Recognition (511 citations) and Media Technology (55 citations). Ravi Kumar Satzoda has collaborated with scholars based in United States, Singapore and Denmark. Frequent co-authors include Mohan M. Trivedi, Thambipillai Srikanthan, S. Suchitra, Chip-Hong Chang, Thomas B. Moeslund, Vijay Mahadevan, Hui Ding, Yuting Zhang, Jiang Liu and Sujitha Martin. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Circuits and Systems for Video Technology.
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.