Marco Huber

646 total citations
25 papers, 321 citations indexed

About

Marco Huber is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marco Huber has authored 25 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Marco Huber's work include Face recognition and analysis (20 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (9 papers). Marco Huber is often cited by papers focused on Face recognition and analysis (20 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (9 papers). Marco Huber collaborates with scholars based in Germany, Portugal and Norway. Marco Huber's co-authors include Naser Damer, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper, Philipp Terhörst, Meiling Fang, Kiran Raja, Wolfgang Holzgreve, Edward Wight and Uwe Güth and has published in prestigious journals such as Information Fusion, IEEE Transactions on Biometrics Behavior and Identity Science and Cancer Detection and Prevention.

In The Last Decade

Marco Huber

23 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Huber Germany 10 242 125 50 18 16 25 321
S. Jayalakshmi India 9 48 0.2× 107 0.9× 59 1.2× 24 1.3× 36 2.3× 43 256
Pablo H. Hennings-Yeomans United States 6 232 1.0× 100 0.8× 17 0.3× 5 0.3× 25 1.6× 7 302
Meilu Zhu Hong Kong 8 143 0.6× 47 0.4× 119 2.4× 24 1.3× 10 0.6× 27 305
Min Beom Lee South Korea 8 175 0.7× 85 0.7× 146 2.9× 30 1.7× 24 1.5× 11 376
Zhenqi Xu China 3 203 0.8× 169 1.4× 30 0.6× 6 0.3× 24 1.5× 9 254
Junaid Tariq Pakistan 12 233 1.0× 175 1.4× 101 2.0× 19 1.1× 7 0.4× 31 389
Haozhe Liu China 10 133 0.5× 128 1.0× 75 1.5× 9 0.5× 25 1.6× 32 291
Leonardo Chang Mexico 11 224 0.9× 106 0.8× 51 1.0× 5 0.3× 19 1.2× 26 301
Hongliang Jin China 8 538 2.2× 152 1.2× 33 0.7× 3 0.2× 3 0.2× 12 593
Saleha Masood Pakistan 9 208 0.9× 28 0.2× 72 1.4× 6 0.3× 14 0.9× 17 372

Countries citing papers authored by Marco Huber

Since Specialization
Citations

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

Fields of papers citing papers by Marco Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Huber. A scholar is included among the top collaborators of Marco Huber 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 Marco Huber. Marco Huber 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.
Huber, Marco, et al.. (2024). Recognition Performance Variation Across Demographic Groups Through the Eyes of Explainable Face Recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–10. 1 indexed citations
2.
Huber, Marco, et al.. (2024). Bias and Diversity in Synthetic-based Face Recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 6203–6214. 10 indexed citations
3.
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
4.
Huber, Marco, et al.. (2024). Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4724–4733. 7 indexed citations
5.
Huber, Marco, Philipp Terhörst, Florian Kirchbuchner, Arjan Kuijper, & Naser Damer. (2023). Uncertainty-aware Comparison Scores for Face Recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). abs 1708 8197. 1–6. 2 indexed citations
6.
Terhörst, Philipp, Marco Huber, Naser Damer, et al.. (2023). Pixel-Level Face Image Quality Assessment for Explainable Face Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 5(2). 288–297. 14 indexed citations
7.
Fang, Meiling, Marco Huber, & Naser Damer. (2023). SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1061–1070. 19 indexed citations
8.
Huber, Marco, Meiling Fang, Fadi Boutros, & Naser Damer. (2023). Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 945–949. 3 indexed citations
9.
Damer, Naser, et al.. (2023). MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 25 indexed citations
10.
Boutros, Fadi, et al.. (2022). SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–11. 53 indexed citations
11.
Neto, Pedro C., Tiago Gonçalves, Marco Huber, et al.. (2022). OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–5. 7 indexed citations
12.
Terhörst, Philipp, Marco Huber, Naser Damer, et al.. (2022). On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–9. 4 indexed citations
13.
Huber, Marco, et al.. (2022). On Evaluating Pixel-Level Face Image Quality Assessment. 2022 30th European Signal Processing Conference (EUSIPCO). 1052–1056. 3 indexed citations
14.
Huber, Marco, Fadi Boutros, Kiran Raja, et al.. (2022). SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–10. 23 indexed citations
15.
Huber, Marco, et al.. (2021). Mask-invariant Face Recognition through Template-level Knowledge Distillation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 22 indexed citations
16.
Terhörst, Philipp, Marco Huber, Naser Damer, et al.. (2020). Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 215–222. 5 indexed citations
17.
Terhörst, Philipp, et al.. (2019). Reliable Age and Gender Estimation from Face Images: Stating the Confidence of Model Predictions. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 20 indexed citations
18.
Terhörst, Philipp, et al.. (2019). Multi-algorithmic Fusion for Reliable Age and Gender Estimation from Face Images. 1–8. 8 indexed citations
19.
Güth, Uwe, Dorothy Jane Huang, Marco Huber, et al.. (2008). Tumor size and detection in breast cancer: Self-examination and clinical breast examination are at their limit. Cancer Detection and Prevention. 32(3). 224–228. 37 indexed citations
20.
Huber, Marco, et al.. (2002). 2-D contact detection and localization using proprioceptive information. 130–135. 4 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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