Nima Razavi
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (3 papers)Advanced Neural Network Applications (2 papers)Domain Adaptation and Few-Shot Learning (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceLirias (KU Leuven)
- Partner nations
- SwitzerlandBelgiumGermany
In The Last Decade
Nima Razavi
4 papers receiving 425 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 387
- Artificial Intelligence 100
- Aerospace Engineering 65
- Biomedical Engineering 43
- Human-Computer Interaction 33
Countries citing papers authored by Nima Razavi
This map shows the geographic impact of Nima Razavi'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 Nima Razavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nima Razavi more than expected).
Fields of papers citing papers by Nima Razavi
This network shows the impact of papers produced by Nima Razavi. 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 Nima Razavi. The network helps show where Nima Razavi may publish in the future.
Co-authorship network of co-authors of Nima Razavi
This figure shows the co-authorship network connecting the top 25 collaborators of Nima Razavi. A scholar is included among the top collaborators of Nima Razavi 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 Nima Razavi. Nima Razavi 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 | 29 | |
| 3 | Hough Forests for Object Detection, Tracking, and Action Recognitionbreakdown → | 399 |
| 4 | 21 |
About Nima Razavi
Nima Razavi is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 4 papers that have together received 452 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Human-Computer Interaction (33 citations) and Media Technology (31 citations). Nima Razavi has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Jüergen Gall, Luc Van Gool, Angela Yao, Victor Lempitsky and Luc Van Gool. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence 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.