Eric Marcus
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Quantum Chromodynamics and Particle Interactions
Papers in
-
- Black Holes and Theoretical Physics 5
- High-Energy Particle Collisions Research 3
-
- AI in cancer detection 6
- Co-authors
- Jonas Teuwen (8 shared papers)Umut Gürsoy (3 shared papers)Dmitri E. Kharzeev (3 shared papers)Krishna Rajagopal (3 shared papers)Chun Shen (2 shared papers)Stefan Vandoren (4 shared papers)Katja Pinker (3 shared papers)Sunitha B. Thakur (2 shared papers)
- Journals
- Journal of High Energy Physics (3 papers)Nature Communications (2 papers)Nuclear Physics A (2 papers)Medical Image Analysis (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Eric Marcus
17 papers receiving 251 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 24
- Nuclear and High Energy Physics 137
- Radiology, Nuclear Medicine and Imaging 24
- Artificial Intelligence 28
- Condensed Matter Physics 9
Countries citing papers authored by Eric Marcus
This map shows the geographic impact of Eric Marcus'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 Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Marcus more than expected).
Fields of papers citing papers by Eric Marcus
This network shows the impact of papers produced by Eric Marcus. 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 Marcus. The network helps show where Eric Marcus may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Marcus, 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 | 2018 | 98 | |
| 2 | 2024 | 63 | |
| 3 | 2019 | 28 | |
| 4 | 2023 | 14 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 10 | |
| 7 | 2021 | 8 | |
| 8 | Black holes in string theory with duality twists | 2020 | 6 |
| 9 | 2020 | 6 | |
| 10 | A new class of SYK-like models with maximal chaos | 2019 | 3 |
| 11 | 2020 | 2 | |
| 12 | 2026 | 2 | |
| 13 | 2016 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2026 | 1 | |
| 18 | 2026 | 0 |
About Eric Marcus
Eric Marcus is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Statistical and Nonlinear Physics, having authored 18 papers that have together received 259 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Black Holes and Theoretical Physics (5 papers), High-Energy Particle Collisions Research (3 papers), MRI in cancer diagnosis (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Quantum many-body systems (1 paper) and Quantum chaos and dynamical systems (1 paper). The work is most often cited by research in Health Informatics (24 citations), Nuclear and High Energy Physics (137 citations), Radiology, Nuclear Medicine and Imaging (24 citations), Artificial Intelligence (28 citations) and Condensed Matter Physics (9 citations). Eric Marcus has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jonas Teuwen, Umut Gürsoy, Dmitri E. Kharzeev, Krishna Rajagopal, Chun Shen, Stefan Vandoren, Katja Pinker, Sunitha B. Thakur, Sarah Eskreis‐Winkler and Roberto Lo Gullo. Their work appears in journals such as Journal of High Energy Physics, Nature Communications, Nuclear Physics A, Medical Image Analysis and Journal of Magnetic Resonance Imaging.
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.