Shahab Kamali
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 10%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Alina KuznetsovaJordi Pont-TusetJasper UijlingsIvan KrasinTom DuerigNeil AlldrinStefan PopovAlexander Kolesnikov
- Topics
- Mathematics, Computing, and Information Processing (4 papers)Advanced Database Systems and Queries (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- International Journal of Computer VisionChild s Nervous SystemJournal of Networks
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Shahab Kamali
13 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 652
- Computer Networks and Communications 130
- Media Technology 87
- Radiology, Nuclear Medicine and Imaging 83
Countries citing papers authored by Shahab Kamali
This map shows the geographic impact of Shahab Kamali'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 Shahab Kamali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahab Kamali more than expected).
Fields of papers citing papers by Shahab Kamali
This network shows the impact of papers produced by Shahab Kamali. 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 Shahab Kamali. The network helps show where Shahab Kamali may publish in the future.
Co-authorship network of co-authors of Shahab Kamali
This figure shows the co-authorship network connecting the top 25 collaborators of Shahab Kamali. A scholar is included among the top collaborators of Shahab Kamali 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 Shahab Kamali. Shahab Kamali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 130 | |
| 2 | 1 | |
| 3 | The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalebreakdown → | 960 |
| 4 | The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalebreakdown → | 378 |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 4 | |
| 8 | Grammar Inference for Web Documents | 1 |
| 9 | An overview of pharmacological approaches for management and repair of spinal cord injuries. | 2 |
| 10 | 13 | |
| 11 | Improving Mathematics Retrieval | 7 |
| 12 | 39 | |
| 13 | 39 |
About Shahab Kamali
Shahab Kamali is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Developmental Neuroscience, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematics, Computing, and Information Processing (4 papers), Advanced Database Systems and Queries (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (652 citations) and Media Technology (87 citations). Shahab Kamali has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Alina Kuznetsova, Jordi Pont-Tuset, Jasper Uijlings, Ivan Krasin, Tom Duerig, Neil Alldrin, Stefan Popov, Alexander Kolesnikov, Vittorio Ferrari and Jaroslav Opatrny. Their work appears in journals such as International Journal of Computer Vision, Child s Nervous System and Journal of Networks.
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.