Amin Jourabloo
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 0.5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Topics
- Face recognition and analysis (7 papers)Biometric Identification and Security (5 papers)Face and Expression Recognition (5 papers)
- Journals
- International Journal of Computer VisionIEEE Transactions on Visualization and Computer GraphicsIEEE Signal Processing Letters
- Partner nations
- United StatesIranIsrael
In The Last Decade
Amin Jourabloo
14 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 943
- Information Systems 197
- Artificial Intelligence 166
- Computational Mechanics 64
Countries citing papers authored by Amin Jourabloo
This map shows the geographic impact of Amin Jourabloo'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 Amin Jourabloo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Jourabloo more than expected).
Fields of papers citing papers by Amin Jourabloo
This network shows the impact of papers produced by Amin Jourabloo. 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 Amin Jourabloo. The network helps show where Amin Jourabloo may publish in the future.
Co-authorship network of co-authors of Amin Jourabloo
This figure shows the co-authorship network connecting the top 25 collaborators of Amin Jourabloo. A scholar is included among the top collaborators of Amin Jourabloo 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 Amin Jourabloo. Amin Jourabloo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 27 | |
| 3 | 175 | |
| 4 | Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervisionbreakdown → | 423 |
| 5 | 265 | |
| 6 | 113 | |
| 7 | 55 | |
| 8 | 185 | |
| 9 | 60 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | Bayesian supervised dictionary learning | 2 |
| 13 | 3 | |
| 14 | 33 | |
| 15 | 0 |
About Amin Jourabloo
Amin Jourabloo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face recognition and analysis (7 papers), Biometric Identification and Security (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Signal Processing (943 citations), Computer Vision and Pattern Recognition (1.2k citations) and Information Systems (197 citations). Amin Jourabloo has collaborated with scholars based in United States, Iran and Israel. Frequent co-authors include Xiaoming Liu, Yaojie Liu, Yousef Atoum, Joel Stehouwer, Bilal Alsallakh, Xiaoming Liu, Mao Ye, Liu Ren, Xi Yin and Mansour Jamzad. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Visualization and Computer Graphics and IEEE Signal Processing Letters.
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.