Eric Sather
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Nuclear physics research studies
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
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- Atomic and Subatomic Physics Research
- Atomic and Molecular Physics
Papers in
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- Quantum Chromodynamics and Particle Interactions 5
- Particle physics theoretical and experimental studies 3
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- Multimodal Machine Learning Applications 1
- Co-authors
- Patrick Huet (1 shared paper)Carl R. Schmidt (1 shared paper)Lisa Randall (3 shared papers)Laurent Lellouch (1 shared paper)Pervez Amirali Hoodbhoy (1 shared paper)Witold Skiba (1 shared paper)R. L. Jaffe (1 shared paper)Zining Liu (1 shared paper)
- Journals
- Physics Letters B (2 papers)Nuclear Physics B (1 paper)neural information processing systems (1 paper)Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (5 papers)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Eric Sather
9 papers receiving 431 citations
Peers
Comparison fields: 4 of 4
- Nuclear and High Energy Physics 392
- Atomic and Molecular Physics, and Optics 9
- Astronomy and Astrophysics 8
- Condensed Matter Physics 1
Countries citing papers authored by Eric Sather
This map shows the geographic impact of Eric Sather'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 Eric Sather with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Sather more than expected).
Fields of papers citing papers by Eric Sather
This network shows the impact of papers produced by Eric Sather. 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 Eric Sather. The network helps show where Eric Sather may publish in the future.
Co-authors
The 9 scholars most cited alongside Eric Sather, 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 | 1995 | 315 | |
| 2 | 1992 | 79 | |
| 3 | 1990 | 20 | |
| 4 | 1993 | 11 | |
| 5 | 1993 | 7 | |
| 6 | 1991 | 3 | |
| 7 | 1994 | 2 | |
| 8 | 1996 | 2 | |
| 9 | The Mystery of the matter asymmetry | 1996 | 1 |
| 10 | 2025 | 0 |
About Eric Sather
Eric Sather is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 10 papers that have together received 440 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (5 papers), Particle physics theoretical and experimental studies (3 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (392 citations), Atomic and Molecular Physics, and Optics (9 citations), Astronomy and Astrophysics (8 citations), Condensed Matter Physics (1 citation) and Nuclear Energy and Engineering (0 citations). Eric Sather has collaborated with scholars based in United States and China. Frequent co-authors include Patrick Huet, Carl R. Schmidt, Lisa Randall, Laurent Lellouch, Pervez Amirali Hoodbhoy, Witold Skiba, R. L. Jaffe, Zining Liu and Xingyu Liu. Their work appears in journals such as Physics Letters B, Nuclear Physics B, neural information processing systems, Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.