Fadi Boutros

2.4k total citations · 1 hit paper
57 papers, 1.0k citations indexed

About

Fadi Boutros is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Fadi Boutros has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 43 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Fadi Boutros's work include Face recognition and analysis (48 papers), Biometric Identification and Security (42 papers) and Face and Expression Recognition (24 papers). Fadi Boutros is often cited by papers focused on Face recognition and analysis (48 papers), Biometric Identification and Security (42 papers) and Face and Expression Recognition (24 papers). Fadi Boutros collaborates with scholars based in Germany, Norway and Portugal. Fadi Boutros's co-authors include Naser Damer, Arjan Kuijper, Florian Kirchbuchner, Meiling Fang, Marco Huber, Kiran Raja, Vitomir Štruc, Raghavendra Ramachandra, Julián Fiérrez and Ana F. Sequeira and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Fadi Boutros

52 papers receiving 1.0k citations

Hit Papers

ElasticFace: Elastic Margin Loss for Deep Face Recognition 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ElasticFace: Elastic Margin Loss for Deep Face Recognition
    2022 150 citations Fadi Boutros, Naser Damer et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fadi Boutros Germany 19 847 558 137 95 39 57 1.0k
Antitza Dantcheva France 17 947 1.1× 460 0.8× 139 1.0× 141 1.5× 20 0.5× 51 1.2k
Samarth Bharadwaj India 15 784 0.9× 708 1.3× 100 0.7× 158 1.7× 19 0.5× 27 979
Amin Jourabloo United States 11 1.2k 1.4× 943 1.7× 166 1.2× 197 2.1× 17 0.4× 15 1.4k
Amir Benzaoui Algeria 13 558 0.7× 363 0.7× 87 0.6× 96 1.0× 4 0.1× 25 782
David S. Bolme United States 12 495 0.6× 250 0.4× 51 0.4× 39 0.4× 5 0.1× 25 591
Yibo Hu China 15 766 0.9× 170 0.3× 106 0.8× 17 0.2× 16 0.4× 28 875
Saiyed Umer India 15 480 0.6× 282 0.5× 95 0.7× 134 1.4× 8 0.2× 56 816
Xunqiang Tao China 10 518 0.6× 245 0.4× 212 1.5× 81 0.9× 3 0.1× 14 673
Tejas I. Dhamecha India 12 469 0.6× 378 0.7× 131 1.0× 93 1.0× 4 0.1× 22 645
Lulu Chen China 10 436 0.5× 128 0.2× 76 0.6× 44 0.5× 7 0.2× 23 566

Countries citing papers authored by Fadi Boutros

Since Specialization
Citations

This map shows the geographic impact of Fadi Boutros'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 Fadi Boutros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadi Boutros more than expected).

Fields of papers citing papers by Fadi Boutros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fadi Boutros. 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 Fadi Boutros. The network helps show where Fadi Boutros may publish in the future.

Co-authorship network of co-authors of Fadi Boutros

This figure shows the co-authorship network connecting the top 25 collaborators of Fadi Boutros. A scholar is included among the top collaborators of Fadi Boutros 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 Fadi Boutros. Fadi Boutros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Damer, Naser, et al.. (2025). FRoundation: Are foundation models ready for face recognition?. Image and Vision Computing. 156. 105453–105453. 3 indexed citations
2.
Damer, Naser, et al.. (2024). MixQuantBio: Towards extreme face and periocular recognition model compression with mixed-precision quantization. Engineering Applications of Artificial Intelligence. 137. 109114–109114. 1 indexed citations
3.
Huber, Marco, et al.. (2024). Bias and Diversity in Synthetic-based Face Recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 6203–6214. 10 indexed citations
4.
Boutros, Fadi, et al.. (2024). AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 1 indexed citations
5.
Boutros, Fadi, et al.. (2024). SFace2: Synthetic-Based Face Recognition With w-Space Identity-Driven Sampling. IEEE Transactions on Biometrics Behavior and Identity Science. 6(3). 290–303. 3 indexed citations
6.
Damer, Naser, et al.. (2024). GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes. TUbilio (Technical University of Darmstadt). 1490–1499.
7.
Boutros, Fadi, et al.. (2023). SyPer: Synthetic periocular data for quantized light-weight recognition in the NIR and visible domains. Image and Vision Computing. 135. 104692–104692. 6 indexed citations
8.
Fu, Biying, et al.. (2023). On the Quality and Diversity of Synthetic Face Data and its Relation to the Generator Training Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). abs 1411 7923. 1–6. 2 indexed citations
9.
Boutros, Fadi, et al.. (2023). Ubiquitous multi-occupant detection in smart environments. Neural Computing and Applications. 36(6). 2941–2960. 3 indexed citations
10.
Boutros, Fadi, et al.. (2023). How Colorful Should Faces Be? Harmonizing Color and Model Quantization for Resource-restricted Face Recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). abs/1806.08342. 1–10.
11.
Boutros, Fadi, et al.. (2023). IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 19593–19604. 34 indexed citations
12.
Boutros, Fadi, et al.. (2022). SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–11. 53 indexed citations
13.
Damer, Naser, et al.. (2022). Masked face recognition: Human versus machine. IET Biometrics. 11(5). 512–528. 12 indexed citations
14.
Boutros, Fadi, et al.. (2022). PocketNet: Extreme Lightweight Face Recognition Network Using Neural Architecture Search and Multistep Knowledge Distillation. IEEE Access. 10. 46823–46833. 53 indexed citations
15.
Boutros, Fadi, Naser Damer, Kiran Raja, Florian Kirchbuchner, & Arjan Kuijper. (2022). Template-Driven Knowledge Distillation for Compact and Accurate Periocular Biometrics Deep-Learning Models. Sensors. 22(5). 1921–1921. 9 indexed citations
16.
Boutros, Fadi, Naser Damer, Florian Kirchbuchner, & Arjan Kuijper. (2021). Self-restrained triplet loss for accurate masked face recognition. Pattern Recognition. 124. 108473–108473. 87 indexed citations
17.
Damer, Naser, et al.. (2021). Extended evaluation of the effect of real and simulated masks on face recognition performance. IET Biometrics. 10(5). 548–561. 26 indexed citations
18.
Boutros, Fadi, Naser Damer, Meiling Fang, et al.. (2020). Compact Models for Periocular Verification Through Knowledge Distillation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 291–298. 3 indexed citations
19.
Fang, Meiling, Naser Damer, Fadi Boutros, Florian Kirchbuchner, & Arjan Kuijper. (2020). Deep Learning Multi-layer Fusion for an Accurate Iris Presentation Attack Detection. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 17 indexed citations
20.
Damer, Naser, Fadi Boutros, Florian Kirchbuchner, & Arjan Kuijper. (2019). D-ID-Net: Two-Stage Domain and Identity Learning for Identity-Preserving Image Generation From Semantic Segmentation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 11218. 3677–3682. 9 indexed citations

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.

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