Tarak Gandhi
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Social Psychology
- Aerospace Engineering
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Mohan M. TrivediJ.C. McCallRangachar KasturiRamsin KhoshabehAtul K. ChhabraOctavia CampsMau‐Tsuen YangKaicong Huang
- Topics
- Video Surveillance and Tracking Methods (12 papers)Advanced Vision and Imaging (8 papers)Autonomous Vehicle Technology and Safety (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionAutomotive EngineeringSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Intelligent Transportation SystemsImage and Vision ComputingMachine Vision and Applications
- Partner nations
- United StatesTaiwan
In The Last Decade
Tarak Gandhi
18 papers receiving 487 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 347
- Automotive Engineering 190
- Social Psychology 64
- Aerospace Engineering 62
- Safety, Risk, Reliability and Quality 60
Countries citing papers authored by Tarak Gandhi
This map shows the geographic impact of Tarak Gandhi'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 Tarak Gandhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarak Gandhi more than expected).
Fields of papers citing papers by Tarak Gandhi
This network shows the impact of papers produced by Tarak Gandhi. 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 Tarak Gandhi. The network helps show where Tarak Gandhi may publish in the future.
Co-authorship network of co-authors of Tarak Gandhi
This figure shows the co-authorship network connecting the top 25 collaborators of Tarak Gandhi. A scholar is included among the top collaborators of Tarak Gandhi 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 Tarak Gandhi. Tarak Gandhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | 35 | |
| 3 | 216 | |
| 4 | 14 | |
| 5 | 28 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 21 | |
| 9 | 48 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | Computer Vision for Multi-Sensory Structural Health Monitoring System * | 8 |
| 13 | 6 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | Image sequence analysis for object detection and segmentation | 9 |
| 17 | Performance Characterization of Obstacle Detection Algorithms for Aircraft Navigation | 1 |
| 18 | 10 |
About Tarak Gandhi
Tarak Gandhi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 18 papers that have together received 514 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Advanced Vision and Imaging (8 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (347 citations), Automotive Engineering (190 citations) and Safety, Risk, Reliability and Quality (60 citations). Tarak Gandhi has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Mohan M. Trivedi, J.C. McCall, Rangachar Kasturi, Ramsin Khoshabeh, Atul K. Chhabra, Octavia Camps, Mau‐Tsuen Yang and Kaicong Huang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Image and Vision Computing and Machine Vision and Applications.
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.