E. Gross
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
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- Computational Physics and Python Applications
- Gaussian Processes and Bayesian Inference
Papers in
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- Particle physics theoretical and experimental studies 15
- Particle Detector Development and Performance 7
- Dark Matter and Cosmic Phenomena 3
- Neutrino Physics Research 2
- Quantum Chromodynamics and Particle Interactions 2
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- Computational Physics and Python Applications 5
- Anomaly Detection Techniques and Applications 2
- Co-authors
- O. Vitells (4 shared papers)E. Dreyer (7 shared papers)M. Kado (5 shared papers)F. A. Di Bello (6 shared papers)J. Shlomi (3 shared papers)N. Kakati (5 shared papers)Bernd A. Kniehl (1 shared paper)S. Ganguly (3 shared papers)
- Journals
- Machine Learning Science and Technology (4 papers)The European Physical Journal C (3 papers)Physical review. D (2 papers)Astroparticle Physics (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)
In The Last Decade
E. Gross
18 papers receiving 92 citations
Peers
Comparison fields: 5 of 29
- Nuclear and High Energy Physics 75
- Artificial Intelligence 29
- Structural Biology 1
- Astronomy and Astrophysics 10
- Radiology, Nuclear Medicine and Imaging 9
Countries citing papers authored by E. Gross
This map shows the geographic impact of E. Gross'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 E. Gross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Gross more than expected).
Fields of papers citing papers by E. Gross
This network shows the impact of papers produced by E. Gross. 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 E. Gross. The network helps show where E. Gross may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Gross, 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 | 20 | |
| 2 | 2011 | 17 | |
| 3 | 2021 | 9 | |
| 4 | 1995 | 8 | |
| 5 | 2023 | 5 | |
| 6 | 2010 | 5 | |
| 7 | Lower bound for the standard model Higgs boson mass from combining the results of the four LEP experiments | 1998 | 5 |
| 8 | 2023 | 4 | |
| 9 | 2010 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2010 | 2 | |
| 16 | Set2Graph: Learning Graphs From Sets | 2020 | 1 |
| 17 | 1989 | 1 | |
| 18 | 1988 | 1 | |
| 19 | 2025 | 0 |
About E. Gross
E. Gross is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Computer Networks and Communications, having authored 19 papers that have together received 95 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (15 papers), Particle Detector Development and Performance (7 papers), Computational Physics and Python Applications (5 papers), Dark Matter and Cosmic Phenomena (3 papers), Neutrino Physics Research (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Medical Imaging Techniques and Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (75 citations), Artificial Intelligence (29 citations), Structural Biology (1 citation), Astronomy and Astrophysics (10 citations) and Radiology, Nuclear Medicine and Imaging (9 citations). E. Gross has collaborated with scholars based in Israel, Italy and Germany. Frequent co-authors include O. Vitells, E. Dreyer, M. Kado, F. A. Di Bello, J. Shlomi, N. Kakati, Bernd A. Kniehl, S. Ganguly, L. Heinrich and A. Ivina. Their work appears in journals such as Machine Learning Science and Technology, The European Physical Journal C, Physical review. D, Astroparticle Physics and HAL (Le Centre pour la Communication Scientifique Directe).
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.