Hassan Foroosh
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Computational Mechanics top 5%
- Environmental Engineering top 5%
- Co-authors
- Xiaochun CaoPhilip DavidBoqing GongZixiang ZhouImran N. JunejoMarshall F. TappenBaoyuan LiuMin Wang
- Topics
- Advanced Vision and Imaging (47 papers)Human Pose and Action Recognition (24 papers)Optical measurement and interference techniques (22 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- United StatesChinaUnited Arab Emirates
In The Last Decade
Hassan Foroosh
126 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 1.7k
- Artificial Intelligence 604
- Aerospace Engineering 358
- Computational Mechanics 319
- Environmental Engineering 288
Countries citing papers authored by Hassan Foroosh
This map shows the geographic impact of Hassan Foroosh'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 Hassan Foroosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassan Foroosh more than expected).
Fields of papers citing papers by Hassan Foroosh
This network shows the impact of papers produced by Hassan Foroosh. 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 Hassan Foroosh. The network helps show where Hassan Foroosh may publish in the future.
Co-authorship network of co-authors of Hassan Foroosh
This figure shows the co-authorship network connecting the top 25 collaborators of Hassan Foroosh. A scholar is included among the top collaborators of Hassan Foroosh 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 Hassan Foroosh. Hassan Foroosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 47 | |
| 10 | 32 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 103 | |
| 14 | 13 | |
| 15 | CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild. | 40 |
| 16 | 38 | |
| 17 | 39 | |
| 18 | 93 | |
| 19 | 4 | |
| 20 | 16 |
About Hassan Foroosh
Hassan Foroosh is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 135 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (47 papers), Human Pose and Action Recognition (24 papers) and Optical measurement and interference techniques (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Computational Mathematics (36 citations) and Geology (181 citations). Hassan Foroosh has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Xiaochun Cao, Philip David, Boqing Gong, Zixiang Zhou, Imran N. Junejo, Marshall F. Tappen, Baoyuan Liu, Min Wang, Yuping Shen and Murat E. Balci. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image 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.