Abdenour Hadid
- Computer Vision and Pattern Recognition top 0.05%
- Signal Processing top 0.05%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Matti PietikäinenTimo AhonenJukka KomulainenZinelabidine BoulkenafetXiaoyi FengGuoying ZhaoSébastien MarcelÉric Granger
- Topics
- Face recognition and analysis (82 papers)Biometric Identification and Security (51 papers)Face and Expression Recognition (49 papers)
In The Last Decade
Abdenour Hadid
140 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 8.4k
- Signal Processing 4.5k
- Artificial Intelligence 1.1k
- Information Systems 974
- Experimental and Cognitive Psychology 717
Countries citing papers authored by Abdenour Hadid
This map shows the geographic impact of Abdenour Hadid'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 Abdenour Hadid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdenour Hadid more than expected).
Fields of papers citing papers by Abdenour Hadid
This network shows the impact of papers produced by Abdenour Hadid. 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 Abdenour Hadid. The network helps show where Abdenour Hadid may publish in the future.
Co-authorship network of co-authors of Abdenour Hadid
This figure shows the co-authorship network connecting the top 25 collaborators of Abdenour Hadid. A scholar is included among the top collaborators of Abdenour Hadid 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 Abdenour Hadid. Abdenour Hadid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 18 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | Multi-view deep features for robust facial kinship verification | 6 |
| 14 | 74 | |
| 15 | Deep spatiotemporal representation of the face for automatic pain intensity estimation | 16 |
| 16 | 44 | |
| 17 | OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variationsbreakdown → | 346 |
| 18 | 112 | |
| 19 | Face Spoofing Detection Using Colour Texture Analysisbreakdown → | 373 |
| 20 | 199 |
About Abdenour Hadid
Abdenour Hadid is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Experimental and Cognitive Psychology, having authored 144 papers that have together received 10.2k indexed citations. Recurring topics across this work include Face recognition and analysis (82 papers), Biometric Identification and Security (51 papers) and Face and Expression Recognition (49 papers). The work is most often cited by research in Signal Processing (4.5k citations), Computer Vision and Pattern Recognition (8.4k citations) and Media Technology (652 citations). Abdenour Hadid has collaborated with scholars based in Finland, France and Algeria. Frequent co-authors include Matti Pietikäinen, Timo Ahonen, Jukka Komulainen, Zinelabidine Boulkenafet, Xiaoyi Feng, Matti Pietikäinen, Guoying Zhao, Sébastien Marcel, Éric Granger and Mohammad Sabokrou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Sensors.
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.