Eric Mintun
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Media Technology top 0.5%
- Remote-Sensing Image Classification
Papers in
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- Black Holes and Theoretical Physics 5
- Particle physics theoretical and experimental studies 2
- Dark Matter and Cosmic Phenomena 1
- Neutrino Physics Research 1
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- Cosmology and Gravitation Theories 5
- Co-authors
- Alexander M. Kirillov (1 shared paper)Hanzi Mao (1 shared paper)Laura Gustafson (1 shared paper)Spencer Whitehead (1 shared paper)Alexander C. Berg (1 shared paper)Ross Girshick (2 shared papers)Tete Xiao (2 shared papers)Nikhila Ravi (1 shared paper)
- Journals
- Journal of High Energy Physics (3 papers)Classical and Quantum Gravity (1 paper)Physical Review Letters (1 paper)Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Eric Mintun
8 papers receiving 6.1k citations
Eric Mintun's Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 2.8k
- Media Technology 494
- Computer Graphics and Computer-Aided Design 197
- Artificial Intelligence 1.3k
- Geology 184
Countries citing papers authored by Eric Mintun
This map shows the geographic impact of Eric Mintun'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 Mintun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Mintun more than expected).
Fields of papers citing papers by Eric Mintun
This network shows the impact of papers produced by Eric Mintun. 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 Mintun. The network helps show where Eric Mintun may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Mintun, 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 | Segment Anything Hit paper breakdown → | 2023 | 6127 |
| 2 | 2015 | 66 | |
| 3 | 2015 | 42 | |
| 4 | 2015 | 10 | |
| 5 | 2019 | 7 | |
| 6 | Early Convolutions Help Transformers See Better | 2021 | 5 |
| 7 | 2015 | 5 | |
| 8 | 2013 | 3 |
About Eric Mintun
Eric Mintun is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Biophysics, having authored 8 papers that have together received 6.3k indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (5 papers), Cosmology and Gravitation Theories (5 papers), Noncommutative and Quantum Gravity Theories (3 papers), Particle physics theoretical and experimental studies (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Image and Signal Denoising Methods (1 paper), Neutrino Physics Research (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Media Technology (494 citations), Computer Graphics and Computer-Aided Design (197 citations), Artificial Intelligence (1.3k citations) and Geology (184 citations). Eric Mintun has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Alexander M. Kirillov, Hanzi Mao, Laura Gustafson, Spencer Whitehead, Alexander C. Berg, Ross Girshick, Tete Xiao, Nikhila Ravi, Wan‐Yen Lo and Piotr Dollár. Their work appears in journals such as Journal of High Energy Physics, Classical and Quantum Gravity, Physical Review Letters, Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields 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.