Matthias Minderer
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 5
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- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Christopher D. Harvey (3 shared papers)Laura Driscoll (1 shared paper)Selmaan N. Chettih (1 shared paper)Flavio Donato (1 shared paper)Edvard I Moser (1 shared paper)Mostafa Dehghani (2 shared papers)Simon Kornblith (2 shared papers)Xiaohua Zhai (2 shared papers)
- Journals
- Nature (1 paper)Neuron (1 paper)Cell (1 paper)The Journal of Physiology (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Matthias Minderer
10 papers receiving 668 citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 331
- Cellular and Molecular Neuroscience 223
- Computer Vision and Pattern Recognition 191
- Biophysics 35
- Human-Computer Interaction 32
Countries citing papers authored by Matthias Minderer
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
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-authors
The 25 scholars most cited alongside Matthias Minderer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 225 | |
| 2 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 2021 | 143 |
| 3 | 2016 | 76 | |
| 4 | 2022 | 70 | |
| 5 | 2019 | 67 | |
| 6 | 2023 | 43 | |
| 7 | 2011 | 35 | |
| 8 | 2022 | 19 | |
| 9 | 2023 | 4 | |
| 10 | Automatic Shortcut Removal for Self-Supervised Representation Learning | 2020 | 2 |
| 11 | 2023 | 0 |
About Matthias Minderer
Matthias Minderer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 11 papers that have together received 684 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (1 paper), Olfactory and Sensory Function Studies (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (331 citations), Cellular and Molecular Neuroscience (223 citations), Computer Vision and Pattern Recognition (191 citations), Biophysics (35 citations) and Human-Computer Interaction (32 citations). Matthias Minderer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Christopher D. Harvey, Laura Driscoll, Selmaan N. Chettih, Flavio Donato, Edvard I Moser, Mostafa Dehghani, Simon Kornblith, Xiaohua Zhai, Lucas Beyer and Niki Parmar. Their work appears in journals such as Nature, Neuron, Cell, The Journal of Physiology and International Conference on Learning Representations.
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.