Szymon Sidor
Impact in
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- Robot Manipulation and Learning
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
Papers in
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- Reinforcement Learning in Robotics 3
- Evolutionary Algorithms and Applications 2
- Neural Networks and Applications 1
- Computational Physics and Python Applications 1
- Explainable Artificial Intelligence (XAI) 1
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- Seismic Imaging and Inversion Techniques 1
- Co-authors
- Matthias PlappertJakub PachockiWojciech ZarembaRafał JózefowiczJosh TobinPeter WelinderLilian WengBob McGrew
- Journals
- The International Journal of Robotics Research (1 paper)International Conference on Machine Learning (1 paper)International Conference on Learning Representations (1 paper)Neural Information Processing Systems (1 paper)
In The Last Decade
Szymon Sidor
4 papers receiving 908 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Control and Systems Engineering 532
- Artificial Intelligence 438
- Computer Vision and Pattern Recognition 194
- Human-Computer Interaction 45
- Biomedical Engineering 270
Countries citing papers authored by Szymon Sidor
This map shows the geographic impact of Szymon Sidor'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 Szymon Sidor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szymon Sidor more than expected).
Fields of papers citing papers by Szymon Sidor
This network shows the impact of papers produced by Szymon Sidor. 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 Szymon Sidor. The network helps show where Szymon Sidor may publish in the future.
Co-authors
The 25 scholars most cited alongside Szymon Sidor, 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 | Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer | 2021 | 6 |
| 2 | Learning dexterous in-hand manipulation Hit paper breakdown → | 2019 | 896 |
| 3 | Parameter Space Noise for Exploration | 2018 | 32 |
| 4 | Schema networks: zero-shot transfer with a generative causal model of intuitive physics | 2017 | 8 |
About Szymon Sidor
Szymon Sidor is a scholar working on Artificial Intelligence, Geophysics, Control and Systems Engineering, Economics and Econometrics and Mechanical Engineering, having authored 4 papers that have together received 942 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Evolutionary Algorithms and Applications (2 papers), Seismic Imaging and Inversion Techniques (1 paper), Neural Networks and Applications (1 paper), Robot Manipulation and Learning (1 paper), Computational Physics and Python Applications (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and Sports Analytics and Performance (1 paper). The work is most often cited by research in Control and Systems Engineering (532 citations), Artificial Intelligence (438 citations), Computer Vision and Pattern Recognition (194 citations), Human-Computer Interaction (45 citations) and Biomedical Engineering (270 citations). Frequent co-authors include Matthias Plappert, Jakub Pachocki, Wojciech Zaremba, Rafał Józefowicz, Josh Tobin, Peter Welinder, Lilian Weng, Bob McGrew, Bowen Baker and Jonas Schneider. Their work appears in journals such as The International Journal of Robotics Research, International Conference on Machine Learning, International Conference on Learning Representations and Neural Information Processing Systems.
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.