Stefan Duffner

2.6k total citations
44 papers, 452 citations indexed

About

Stefan Duffner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Stefan Duffner has authored 44 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Stefan Duffner's work include Video Surveillance and Tracking Methods (13 papers), Face recognition and analysis (10 papers) and Face and Expression Recognition (8 papers). Stefan Duffner is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Face recognition and analysis (10 papers) and Face and Expression Recognition (8 papers). Stefan Duffner collaborates with scholars based in France, Switzerland and Argentina. Stefan Duffner's co-authors include Christophe García, Jean‐Marc Odobez, Atilla Baskurt, Thierry Château, Christophe Blanc, Andrei Stoian, Yiqiang Chen, André Ferreira Leite, Renato J. Cintra and Khalid Idrissi and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Stefan Duffner

41 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Duffner France 12 309 124 57 41 35 44 452
Yunlian Sun China 12 430 1.4× 199 1.6× 107 1.9× 49 1.2× 57 1.6× 26 624
Elliot J. Crowley United Kingdom 9 387 1.3× 116 0.9× 53 0.9× 27 0.7× 30 0.9× 18 484
Shengtao Xiao Singapore 9 313 1.0× 72 0.6× 73 1.3× 56 1.4× 30 0.9× 18 519
Alexandrina Rogozan France 13 277 0.9× 150 1.2× 86 1.5× 21 0.5× 39 1.1× 46 522
Nakamasa Inoue Japan 12 228 0.7× 170 1.4× 68 1.2× 33 0.8× 22 0.6× 55 384
Amir Gholaminejad United States 5 225 0.7× 126 1.0× 33 0.6× 27 0.7× 41 1.2× 6 361
Xin Yuan China 10 450 1.5× 143 1.2× 71 1.2× 54 1.3× 25 0.7× 45 638
Αλεξάνδρα Ψαρρού United Kingdom 11 448 1.4× 118 1.0× 84 1.5× 50 1.2× 26 0.7× 55 608
Caixia Yan China 11 325 1.1× 241 1.9× 28 0.5× 64 1.6× 28 0.8× 20 556

Countries citing papers authored by Stefan Duffner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Duffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Duffner

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Duffner. A scholar is included among the top collaborators of Stefan Duffner 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 Stefan Duffner. Stefan Duffner 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.
Mignot, T.M., et al.. (2025). From detections to decisions: an attention-guided deep multiple instance learning approach for visual tire inspection. The International Journal of Advanced Manufacturing Technology. 138(11-12). 5427–5442.
2.
Lartizien, Carole, et al.. (2024). Machine Learning and Knowledge Discovery in Databases. Research Track. Lecture notes in computer science. 1 indexed citations
3.
Duffner, Stefan, et al.. (2024). Federated brain tumor segmentation: An extensive benchmark. Medical Image Analysis. 97. 103270–103270. 8 indexed citations
4.
Duffner, Stefan, Rémi Emonet, Florence Garrelie, et al.. (2023). Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns. Physical Review Letters. 130(22). 226201–226201. 6 indexed citations
5.
Colombier, Jean‐Philippe, Stefan Duffner, Rémi Emonet, et al.. (2022). Learning PDE to Model Self-Organization of Matter. Entropy. 24(8). 1096–1096. 3 indexed citations
6.
Duffner, Stefan, et al.. (2022). In pursuit of the hidden features of GNN’s internal representations. Data & Knowledge Engineering. 142. 102097–102097.
7.
Lefebvre, Grégoire, et al.. (2021). Sequence Metric Learning as Synchronization of Recurrent Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 1 indexed citations
8.
Duffner, Stefan, et al.. (2021). 2D Wasserstein loss for robust facial landmark detection. Pattern Recognition. 116. 107945–107945. 9 indexed citations
9.
Lefebvre, Grégoire, et al.. (2020). Learning personalized ADL recognition models from few raw data. Artificial Intelligence in Medicine. 107. 101916–101916. 5 indexed citations
10.
Château, Thierry, et al.. (2020). Deep Model Compression and Architecture Optimization for Embedded Systems: A Survey. Journal of Signal Processing Systems. 93(8). 863–878. 52 indexed citations
11.
Cintra, Renato J., Stefan Duffner, Christophe García, & André Ferreira Leite. (2018). Low-Complexity Approximate Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(12). 5981–5992. 35 indexed citations
12.
Lefebvre, Grégoire, et al.. (2017). Class-balanced siamese neural networks. Neurocomputing. 273. 47–56. 25 indexed citations
13.
Nakashika, Toru, et al.. (2014). Convolutive Bottleneck Network with Dropout for Dysarthric Speech Recognition. Transactions on Machine Learning and Artificial Intelligence. 2(2). 48–62. 8 indexed citations
14.
Duffner, Stefan, et al.. (2012). The TA2 Database – A Multi-Modal Database From HomeEntertainment. International Journal of Computer and Electrical Engineering. 670–673. 3 indexed citations
15.
Duffner, Stefan & Jean‐Marc Odobez. (2012). Track Creation and Deletion Framework for Long-Term Online Multiface Tracking. IEEE Transactions on Image Processing. 22(1). 272–285. 20 indexed citations
16.
Duffner, Stefan, et al.. (2011). The TA2 Database - A Multi-Modal Database From Home Entertainment. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6 indexed citations
17.
Motlíček, Petr, et al.. (2011). Just-in-time multimodal association and fusion from home entertainment. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 5 indexed citations
18.
Duffner, Stefan. (2009). Face Image Analysis with Convolutional Neural Networks. FreiDok plus (Universitätsbibliothek Freiburg). 20 indexed citations
19.
Roux, Sébastiên, Franck Mamalet, Christophe García, & Stefan Duffner. (2007). An Embedded Robust Facial Feature Detector. 1. 170–175. 3 indexed citations
20.
Duffner, Stefan & Christophe García. (2007). Face recognition using non-linear image reconstruction. 459–464. 5 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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