Mohsen Ardabilian
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 5%
- Experimental and Cognitive Psychology top 10%
- Media Technology top 5%
- Artificial Intelligence
- Co-authors
- Yunhong WangCaifeng ShanDi HuangLiming ChenDongming ChenBoulbaba Ben AmorMohamed DaoudiMohamed Ichchou
- Topics
- Face and Expression Recognition (5 papers)Advanced Vision and Imaging (4 papers)Face recognition and analysis (4 papers)
- Journals
- Composite StructuresIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Information Forensics and Security
- Partner nations
- FranceChinaNetherlands
In The Last Decade
Mohsen Ardabilian
10 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 713
- Signal Processing 148
- Experimental and Cognitive Psychology 126
- Media Technology 91
- Artificial Intelligence 65
Countries citing papers authored by Mohsen Ardabilian
This map shows the geographic impact of Mohsen Ardabilian'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 Mohsen Ardabilian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Ardabilian more than expected).
Fields of papers citing papers by Mohsen Ardabilian
This network shows the impact of papers produced by Mohsen Ardabilian. 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 Mohsen Ardabilian. The network helps show where Mohsen Ardabilian may publish in the future.
Co-authorship network of co-authors of Mohsen Ardabilian
This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Ardabilian. A scholar is included among the top collaborators of Mohsen Ardabilian 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 Mohsen Ardabilian. Mohsen Ardabilian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 34 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 96 | |
| 7 | 6 | |
| 8 | 28 | |
| 9 | Local Binary Patterns and Its Application to Facial Image Analysis: A Surveybreakdown → | 629 |
| 10 | 0 | |
| 11 | 24 |
About Mohsen Ardabilian
Mohsen Ardabilian is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 11 papers that have together received 853 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Advanced Vision and Imaging (4 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (713 citations), Signal Processing (148 citations) and Media Technology (91 citations). Mohsen Ardabilian has collaborated with scholars based in France, China and Netherlands. Frequent co-authors include Yunhong Wang, Caifeng Shan, Di Huang, Liming Chen, Liming Chen, Di Huang, Dongming Chen, Boulbaba Ben Amor, Mohamed Daoudi and Mohamed Ichchou. Their work appears in journals such as Composite Structures, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Information Forensics and Security.
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.