Steffen Schneider
- Developmental Biology top 10%
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 2
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- Human Pose and Action Recognition 3
- Small Animals top 10%
- Biophysics top 10%
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- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and ELM 1
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- Photoreceptor and optogenetics research 1
- Neuroscience and Neuropharmacology Research 1
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- Psychosomatic Disorders and Their Treatments 1
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- Machine Learning in Bioinformatics 1
- Co-authors
- Mackenzie Weygandt MathisAlexander MathisJessy LauerShaokai YeAlexei BaevskiMichael AuliValentina Di SantoTanmay Nath
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Steffen Schneider
16 papers receiving 661 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Developmental Biology 21
- Cognitive Neuroscience 148
- Computer Vision and Pattern Recognition 121
- Small Animals 43
- Biophysics 32
Countries citing papers authored by Steffen Schneider
This map shows the geographic impact of Steffen Schneider'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 Steffen Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Schneider more than expected).
Fields of papers citing papers by Steffen Schneider
This network shows the impact of papers produced by Steffen Schneider. 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 Steffen Schneider. The network helps show where Steffen Schneider may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steffen Schneider, 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 | 2024 | 28 | |
| 2 | 2023 | 1 | |
| 3 | Learnable latent embeddings for joint behavioural and neural analysisbreakdown → | 2023 | 103 |
| 4 | Multi-animal pose estimation, identification and tracking with DeepLabCutbreakdown → | 2022 | 264 |
| 5 | Improving robustness against common corruptions by covariate shift adaptation | 2020 | 9 |
| 6 | vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations | 2020 | 57 |
| 7 | 2020 | 148 | |
| 8 | Removing covariate shift improves robustness against common corruptions | 2020 | 1 |
| 9 | 2019 | 30 | |
| 10 | Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains | 2018 | 5 |
| 11 | Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study | 2018 | 2 |
| 12 | 2017 | 25 | |
| 13 | Towards Desynchronization Detection in Biosignals | 2017 | 1 |
| 14 | 2014 | 1 | |
| 15 | 1997 | 1 | |
| 16 | 1991 | 2 | |
| 17 | 1983 | 2 |
About Steffen Schneider
Steffen Schneider is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Biophysics, having authored 17 papers that have together received 680 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Neural dynamics and brain function (2 papers), Photoreceptor and optogenetics research (1 paper), Psychosomatic Disorders and Their Treatments (1 paper), Machine Learning in Bioinformatics (1 paper), Machine Learning and ELM (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Developmental Biology (21 citations), Cognitive Neuroscience (148 citations) and Computer Vision and Pattern Recognition (121 citations). Steffen Schneider has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Mackenzie Weygandt Mathis, Alexander Mathis, Jessy Lauer, Shaokai Ye, Alexei Baevski, Michael Auli, Valentina Di Santo, Tanmay Nath, Mohammed Mostafizur Rahman and William Menegas. Their work appears in journals such as Nature, Nature Communications and Neuron.
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.