Amir Ghodrati
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 5%
- Signal Processing
- Co-authors
- Tinne TuytelaarsJosé OramasEfstratios GavvesBasura FernandoMarco PedersoliLuc Van GoolAli DibaCees G. M. Snoek
- Topics
- Advanced Image and Video Retrieval Techniques (4 papers)Human Pose and Action Recognition (4 papers)Advanced Neural Network Applications (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceUvA-DARE (University of Amsterdam)Lirias (KU Leuven)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Amir Ghodrati
10 papers receiving 743 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 713
- Artificial Intelligence 354
- Biomedical Engineering 261
- Human-Computer Interaction 125
- Signal Processing 32
Countries citing papers authored by Amir Ghodrati
This map shows the geographic impact of Amir Ghodrati'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 Amir Ghodrati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Ghodrati more than expected).
Fields of papers citing papers by Amir Ghodrati
This network shows the impact of papers produced by Amir Ghodrati. 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 Amir Ghodrati. The network helps show where Amir Ghodrati may publish in the future.
Co-authorship network of co-authors of Amir Ghodrati
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Ghodrati. A scholar is included among the top collaborators of Amir Ghodrati 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 Amir Ghodrati. Amir Ghodrati 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 | 39 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 211 | |
| 6 | 1 | |
| 7 | 77 | |
| 8 | Modeling video evolution for action recognitionbreakdown → | 381 |
| 9 | 1 | |
| 10 | 25 |
About Amir Ghodrati
Amir Ghodrati is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 10 papers that have together received 755 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (713 citations), Human-Computer Interaction (125 citations) and Artificial Intelligence (354 citations). Amir Ghodrati has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Tinne Tuytelaars, José Oramas, Efstratios Gavves, Basura Fernando, Marco Pedersoli, Luc Van Gool, Ali Diba, Cees G. M. Snoek, Mihir Jain and Xu Jia. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, UvA-DARE (University of Amsterdam) and Lirias (KU Leuven).
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.