litlas
Log inCreate account

Matthias Bethge

Active 1999–2026

236
Papers
39,700
Citations
67
h-index
165
i10-index

Citations

Citations per year for Matthias Bethge1964: 2 citations1967: 1 citations1972: 2 citations1984: 1 citations1991: 1 citations1995: 1 citations1996: 2 citations2001: 4 citations2002: 5 citations2003: 6 citations2004: 8 citations2005: 8 citations2006: 11 citations2007: 12 citations2008: 22 citations2009: 28 citations2010: 54 citations2011: 88 citations2012: 73 citations2013: 120 citations2014: 131 citations2015: 151 citations2016: 349 citations2017: 727 citations2018: 1,093 citations2019: 1,868 citations2020: 2,429 citations2021: 2,744 citations2022: 2,230 citations2023: 2,192 citations2024: 2,434 citations2025: 1,903 citations2026: 597 citations2027: 2 citations1965–1966: no citations, so these years are not shown1968–1971: no citations, so these years are not shown1973–1983: no citations, so these years are not shown1985–1990: no citations, so these years are not shown1992–1994: no citations, so these years are not shown1997–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,912 citing papers, 24.6% of this breakdownChina: 3,651 citing papers, 18.3% of this breakdownGermany: 1,624 citing papers, 8.1% of this breakdownUnited Kingdom: 1,330 citing papers, 6.7% of this breakdownCanada: 692 citing papers, 3.5% of this breakdownFrance: 619 citing papers, 3.1% of this breakdownJapan: 588 citing papers, 3% of this breakdownSouth Korea: 558 citing papers, 2.8% of this breakdownSwitzerland: 500 citing papers, 2.5% of this breakdownAustralia: 462 citing papers, 2.3% of this breakdownItaly: 445 citing papers, 2.2% of this breakdownHong Kong: 389 citing papers, 2% of this breakdown
0%24.6%Other 20.9%

Institutions

Fields

  • Computer Science61%
  • Neuroscience15.7%
  • Biochemistry, Genetics and Molecular Biology5.6%
  • Engineering5.5%
  • Medicine4.5%
  • Psychology1.8%
  • Other5.9%

Topics

  • Generative Adversarial Networks and Image Synthesis7.2%
  • Neural dynamics and brain function4.1%
  • Adversarial Robustness in Machine Learning3.6%
  • Domain Adaptation and Few-Shot Learning3.1%
  • Advanced Image Processing Techniques3%
  • Advanced Neural Network Applications2.9%
  • Other76.1%

Coauthors

All papers

Open in search
  1. Image Style Transfer Using Convolutional Neural Networks

    Authors: Leon A. Gatys, Alexander S. Ecker, Matthias Bethge - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 cited by 6,010

  2. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

    Authors: Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, Venkatesh N. Murthy, Mackenzie Weygandt Mathis, Matthias Bethge - Nature Neuroscience 2018 cited by 5,563

  3. Shortcut Learning in Deep Neural Networks

    Authors: Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 1,811

  4. ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

    Authors: Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel - ICLR 2019 cited by 3,238

  5. A Neural Algorithm of Artistic Style

    Authors: Leon A. Gatys, Alexander S. Ecker, Matthias Bethge - Journal of Vision 2016 cited by 1,123

  6. Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

    Authors: Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel - arXiv (Cornell University), CoRR 2019 cited by 331

  7. Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

    Authors: Wieland Brendel, Jonas Rauber, Matthias Bethge - ICLR (Poster) 2018 cited by 1,558

  8. Playing repeated games with Large Language Models

    Authors: Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz - Nature Human Behaviour 2025 cited by 120

  9. A note on the evaluation of generative models

    Authors: Lucas Theis, Aäron van den Oord, Matthias Bethge - ICLR 2016 cited by 539

  10. A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility

    Authors: Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, Samuel Albanie, Ameya Prabhu, Matthias Bethge - ArXiv.org, CoRR 2025 cited by 69

  11. Controlling Perceptual Factors in Neural Style Transfer

    Authors: Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 514

  12. The functional diversity of retinal ganglion cells in the mouse

    Authors: Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler - Nature, Nat. 2016 cited by 1,104

  13. Investigating Continual Pretraining in Large Language Models: Insights and Implications

    Authors: Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis - arXiv (Cornell University), CoRR 2024 cited by 57

  14. Improving robustness against common corruptions by covariate shift adaptation

    Authors: Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge - Neural Information Processing Systems, NeurIPS 2020 cited by 652

  15. DeepGaze III: Modeling free-viewing human scanpaths with deep learning

    Authors: Matthias Kümmerer, Matthias Bethge, Thomas S. A. Wallis - Journal of Vision 2022 cited by 104

  16. Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq

    Authors: Cathryn R. Cadwell, Athanasia Palasantza, Xiaolong Jiang, Philipp Berens, Qiaolin Deng, Marlene Yilmaz, Jacob Reimer, Shan Shen, Matthias Bethge, Kimberley F. Tolias, Rickard Sandberg, Andreas S. Tolias - Nature Biotechnology 2015 cited by 639

  17. Continual Learning: Applications and the Road Forward

    Authors: Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven - Trans. Mach. Learn. Res. 2024 cited by 47

  18. A foundation model to predict and capture human cognition

    Authors: Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz - Nature, Nat. 2025 cited by 72

  19. Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

    Authors: Jonas Rauber, Roland Zimmermann, Matthias Bethge, Wieland Brendel - The Journal of Open Source Software, J. Open Source Softw. 2020 cited by 161

  20. Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

    Authors: Wieland Brendel, Matthias Bethge - ICLR (Poster) 2019 cited by 642

  21. DeepGaze II: Reading fixations from deep features trained on object recognition

    Authors: Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge - arXiv (Cornell University), CoRR 2016 cited by 262

  22. No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

    Authors: Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 99

  23. Centaur: a foundation model of human cognition

    Authors: Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz - arXiv (Cornell University), CoRR 2024 cited by 36

  24. Generalisation in humans and deep neural networks

    Authors: Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann - NeurIPS 2018 cited by 685