Vineet Gandhi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing
- Automotive Engineering
- Media Technology
- Co-authors
- Ramanathan SubramanianRahul SharmaC. V. JawaharRémi RonfardSamyak JainP. J. NarayananKanishk JainK. Madhava Krishna
- Topics
- Video Analysis and Summarization (6 papers)Music and Audio Processing (6 papers)Advanced Vision and Imaging (6 papers)
- Journals
- Computer Graphics ForumProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesSignal Image and Video Processing
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Vineet Gandhi
33 papers receiving 276 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 54
- Signal Processing 24
- Automotive Engineering 20
- Media Technology 15
Countries citing papers authored by Vineet Gandhi
This map shows the geographic impact of Vineet 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 Vineet Gandhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vineet Gandhi more than expected).
Fields of papers citing papers by Vineet Gandhi
This network shows the impact of papers produced by Vineet 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 Vineet Gandhi. The network helps show where Vineet Gandhi may publish in the future.
Co-authorship network of co-authors of Vineet Gandhi
This figure shows the co-authorship network connecting the top 25 collaborators of Vineet Gandhi. A scholar is included among the top collaborators of Vineet 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 Vineet Gandhi. Vineet 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 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 51 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 14 | |
| 18 | 35 | |
| 19 | 3 | |
| 20 | 7 |
About Vineet Gandhi
Vineet Gandhi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 37 papers that have together received 284 indexed citations. Recurring topics across this work include Video Analysis and Summarization (6 papers), Music and Audio Processing (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Human-Computer Interaction (13 citations) and Signal Processing (24 citations). Vineet Gandhi has collaborated with scholars based in India, United States and France. Frequent co-authors include Ramanathan Subramanian, Rahul Sharma, C. V. Jawahar, Rémi Ronfard, Samyak Jain, P. J. Narayanan, Kanishk Jain, K. Madhava Krishna, Visesh Chari and Brojeshwar Bhowmick. Their work appears in journals such as Computer Graphics Forum, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Signal Image and Video 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.