Peter Sadowski
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Stochastic Gradient Optimization Techniques
- Machine Learning and Data Classification
Papers in
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- Particle physics theoretical and experimental studies 9
- Particle Detector Development and Performance 4
- Neutrino Physics Research 3
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- Neural Networks and Applications 8
- AI in cancer detection 5
- Co-authors
- Pierre Baldi (20 shared papers)Daniel Whiteson (7 shared papers)Davide Chicco (1 shared paper)Kyle Stuart Cranmer (1 shared paper)Clara H. Eng (1 shared paper)Kevin Bauer (1 shared paper)Zhiqin Lu (2 shared papers)David R. Fooshee (1 shared paper)
- Journals
- Neural Networks (3 papers)The Astrophysical Journal (3 papers)Physical review. D (2 papers)Artificial Intelligence (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- United StatesFranceChile
In The Last Decade
Peter Sadowski
42 papers receiving 2.4k citations
Peter Sadowski's Hit Papers
Peers
Comparison fields: 5 of 138
- Nuclear and High Energy Physics 664
- Artificial Intelligence 671
- Health Informatics 26
- Computer Vision and Pattern Recognition 230
- Hardware and Architecture 63
Countries citing papers authored by Peter Sadowski
This map shows the geographic impact of Peter Sadowski'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 Peter Sadowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sadowski more than expected).
Fields of papers citing papers by Peter Sadowski
This network shows the impact of papers produced by Peter Sadowski. 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 Peter Sadowski. The network helps show where Peter Sadowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Sadowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Searching for exotic particles in high-energy physics with deep learning Hit paper breakdown → | 2014 | 785 |
| 2 | Understanding Dropout | 2013 | 285 |
| 3 | 2014 | 250 | |
| 4 | 2016 | 184 | |
| 5 | 2016 | 173 | |
| 6 | 2014 | 133 | |
| 7 | 2017 | 91 | |
| 8 | 2015 | 84 | |
| 9 | 2020 | 64 | |
| 10 | 2016 | 54 | |
| 11 | 2016 | 50 | |
| 12 | 2018 | 45 | |
| 13 | 2022 | 39 | |
| 14 | 2016 | 35 | |
| 15 | 2021 | 26 | |
| 16 | 2017 | 22 | |
| 17 | Deep learning, dark knowledge, and dark matter | 2014 | 19 |
| 18 | 2016 | 18 | |
| 19 | Sherpa: Hyperparameter Optimization for Machine Learning Models | 2018 | 18 |
| 20 | 2013 | 17 |
About Peter Sadowski
Peter Sadowski is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Health Informatics, Computer Vision and Pattern Recognition and Oceanography, having authored 47 papers that have together received 2.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (9 papers), Neural Networks and Applications (8 papers), AI in cancer detection (5 papers), Particle Detector Development and Performance (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Microbial Community Ecology and Physiology (3 papers), Solar and Space Plasma Dynamics (3 papers) and Neutrino Physics Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (664 citations), Artificial Intelligence (671 citations), Health Informatics (26 citations), Computer Vision and Pattern Recognition (230 citations) and Hardware and Architecture (63 citations). Peter Sadowski has collaborated with scholars based in United States, France and Chile. Frequent co-authors include Pierre Baldi, Daniel Whiteson, Davide Chicco, Kyle Stuart Cranmer, Clara H. Eng, Kevin Bauer, Zhiqin Lu, David R. Fooshee, Niranjan Subrahmanya and Chase Owen Shimmin. Their work appears in journals such as Neural Networks, The Astrophysical Journal, Physical review. D, Artificial Intelligence and Journal of Chemical Information and Modeling.
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.