Jonas Schneider
Impact in
- Internal Medicine top 1%
- Venous Thromboembolism Diagnosis and Management
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- Robot Manipulation and Learning
Papers in
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- Venous Thromboembolism Diagnosis and Management 13
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- Atrial Fibrillation Management and Outcomes 13
- Cardiac Arrhythmias and Treatments 3
- Co-authors
- Wojciech ZarembaJosh TobinPieter AbbeelRafał JózefowiczMatthias PlappertBob McGrewBowen BakerSzymon Sidor
In The Last Decade
Jonas Schneider
20 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Internal Medicine 348
- Control and Systems Engineering 1.1k
- Computer Vision and Pattern Recognition 844
- Artificial Intelligence 1.1k
- Human-Computer Interaction 86
Countries citing papers authored by Jonas Schneider
This map shows the geographic impact of Jonas 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 Jonas Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Schneider more than expected).
Fields of papers citing papers by Jonas Schneider
This network shows the impact of papers produced by Jonas 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 Jonas Schneider. The network helps show where Jonas Schneider may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas 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 | 2023 | 4 | |
| 2 | 2021 | 12 | |
| 3 | 2019 | 13 | |
| 4 | Learning dexterous in-hand manipulation Hit paper breakdown → | 2019 | 896 |
| 5 | 2019 | 19 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 5 | |
| 8 | One-Shot Imitation Learning | 2017 | 116 |
| 9 | 2017 | 2 | |
| 10 | 2017 | 8 | |
| 11 | Domain randomization for transferring deep neural networks from simulation to the real world Hit paper breakdown → | 2017 | 1470 |
| 12 | 2017 | 20 | |
| 13 | 2017 | 13 | |
| 14 | 2016 | 61 | |
| 15 | 2016 | 0 | |
| 16 | 2016 | 2 | |
| 17 | 2015 | 186 | |
| 18 | 2015 | 2 | |
| 19 | 2014 | 25 | |
| 20 | 2012 | 37 |
About Jonas Schneider
Jonas Schneider is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Hematology, Otorhinolaryngology and Emergency Medical Services, having authored 21 papers that have together received 2.9k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (13 papers), Venous Thromboembolism Diagnosis and Management (13 papers), Cardiac Arrhythmias and Treatments (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), International Maritime Law Issues (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Internal Medicine (348 citations), Control and Systems Engineering (1.1k citations), Computer Vision and Pattern Recognition (844 citations), Artificial Intelligence (1.1k citations) and Human-Computer Interaction (86 citations). Jonas Schneider has collaborated with scholars based in Germany, Italy and Canada. Frequent co-authors include Wojciech Zaremba, Josh Tobin, Pieter Abbeel, Rafał Józefowicz, Matthias Plappert, Bob McGrew, Bowen Baker, Szymon Sidor, Peter Welinder and Jakub Pachocki. Their work appears in journals such as Blood, Thrombosis Research, Research and Practice in Thrombosis and Haemostasis, Diabetes and Thrombosis and Haemostasis.
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.