Matthias Minderer

23.7k total citations
11 papers, 684 citations indexed

About

Matthias Minderer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Matthias Minderer has authored 11 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Matthias Minderer's work include Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Matthias Minderer is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Matthias Minderer collaborates with scholars based in United States, Germany and Switzerland. Matthias Minderer's co-authors include Christopher D. Harvey, Laura Driscoll, Selmaan N. Chettih, Edvard I Moser, Flavio Donato, Simon Kornblith, Xiaohua Zhai, Lucas Beyer, Mostafa Dehghani and Mohammad Norouzi and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Matthias Minderer

10 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Minderer United States 8 331 223 191 125 40 11 684
Grace W. Lindsay United States 7 505 1.5× 159 0.7× 135 0.7× 149 1.2× 51 1.3× 11 838
Raul C. Mureșan Romania 15 398 1.2× 212 1.0× 72 0.4× 79 0.6× 52 1.3× 51 780
Gido M. van de Ven United Kingdom 7 483 1.5× 337 1.5× 164 0.9× 336 2.7× 38 0.9× 9 1.0k
Bailu Si China 15 442 1.3× 296 1.3× 151 0.8× 83 0.7× 35 0.9× 50 715
Yoichi Miyawaki Japan 10 730 2.2× 68 0.3× 130 0.7× 88 0.7× 19 0.5× 25 886
Payman Yadollahpour United States 5 209 0.6× 162 0.7× 329 1.7× 106 0.8× 168 4.2× 6 778
Kei Majima Japan 11 391 1.2× 127 0.6× 114 0.6× 54 0.4× 41 1.0× 27 570
Pouya Bashivan United States 8 509 1.5× 41 0.2× 135 0.7× 112 0.9× 20 0.5× 23 657
S. P. Arun India 16 614 1.9× 110 0.5× 149 0.8× 54 0.4× 17 0.4× 50 762
David Feng United States 12 405 1.2× 240 1.1× 115 0.6× 68 0.5× 123 3.1× 29 729

Countries citing papers authored by Matthias Minderer

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Minderer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Minderer

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

All Works

11 of 11 papers shown
1.
Gritsenko, Alexey A., et al.. (2023). Scaling Open-Vocabulary Object Detection. 72983–73007.
2.
Beyer, Lucas, Pavel Izmailov, А. И. Колесников, et al.. (2023). FlexiViT: One Model for All Patch Sizes. 14496–14506. 43 indexed citations
3.
Heigold, Georg, Daniel Keysers, Matthias Minderer, et al.. (2023). Video OWL-ViT: Temporally-consistent open-world localization in video. 13756–13765. 4 indexed citations
4.
Dehghani, Mostafa, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, & Yi Tay. (2022). SCENIC: A JAX Library for Computer Vision Research and Beyond. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21361–21366. 19 indexed citations
5.
Kornblith, Simon, et al.. (2022). Denoising Pretraining for Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4174–4185. 70 indexed citations
6.
Dosovitskiy, Alexey, Lucas Beyer, Alexander Kolesnikov, et al.. (2021). An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. International Conference on Learning Representations. 143 indexed citations
7.
Minderer, Matthias, Olivier Bachem, Neil Houlsby, & Michael Tschannen. (2020). Automatic Shortcut Removal for Self-Supervised Representation Learning. International Conference on Machine Learning. 1. 6927–6937. 2 indexed citations
8.
Minderer, Matthias, et al.. (2019). The Spatial Structure of Neural Encoding in Mouse Posterior Cortex during Navigation. Neuron. 102(1). 232–248.e11. 67 indexed citations
9.
Driscoll, Laura, et al.. (2017). Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex. Cell. 170(5). 986–999.e16. 225 indexed citations
10.
Minderer, Matthias, Christopher D. Harvey, Flavio Donato, & Edvard I Moser. (2016). Virtual reality explored. Nature. 533(7603). 324–325. 76 indexed citations
11.
Minderer, Matthias, Wenrui Liu, Lazar T. Sumanovski, et al.. (2011). Chronic imaging of cortical sensory map dynamics using a genetically encoded calcium indicator. The Journal of Physiology. 590(1). 99–107. 35 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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