Evangelos Ververas
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 5%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Co-authors
- Stefanos ZafeiriouIrene KotsiaJiankang DengJia GuoAnastasios RoussosShiyang ChengGrigorios G. ChrysosYannis Panagakis
- Topics
- Face recognition and analysis (8 papers)Face and Expression Recognition (4 papers)Biometric Identification and Security (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingExperimental and Cognitive Psychology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionIEEE Journal of Selected Topics in Signal Processing
- Partner nations
- United KingdomFinlandCyprus
In The Last Decade
Evangelos Ververas
10 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 826
- Signal Processing 230
- Experimental and Cognitive Psychology 181
- Artificial Intelligence 116
- Cognitive Neuroscience 68
Countries citing papers authored by Evangelos Ververas
This map shows the geographic impact of Evangelos Ververas'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 Evangelos Ververas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evangelos Ververas more than expected).
Fields of papers citing papers by Evangelos Ververas
This network shows the impact of papers produced by Evangelos Ververas. 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 Evangelos Ververas. The network helps show where Evangelos Ververas may publish in the future.
Co-authorship network of co-authors of Evangelos Ververas
This figure shows the co-authorship network connecting the top 25 collaborators of Evangelos Ververas. A scholar is included among the top collaborators of Evangelos Ververas 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 Evangelos Ververas. Evangelos Ververas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | RetinaFace: Single-Shot Multi-Level Face Localisation in the Wildbreakdown → | 841 |
| 4 | 57 | |
| 5 | 5 | |
| 6 | Generating faces for affect analysis. | 4 |
| 7 | 36 | |
| 8 | 51 | |
| 9 | 9 | |
| 10 | 25 |
About Evangelos Ververas
Evangelos Ververas is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Face and Expression Recognition (4 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (826 citations), Signal Processing (230 citations) and Experimental and Cognitive Psychology (181 citations). Evangelos Ververas has collaborated with scholars based in United Kingdom, Finland and Cyprus. Frequent co-authors include Stefanos Zafeiriou, Irene Kotsia, Jiankang Deng, Jia Guo, Anastasios Roussos, Shiyang Cheng, Grigorios G. Chrysos, Yannis Panagakis, Jie Shen and James G. Booth. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Journal of Selected Topics in Signal 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.