Eric Mintun

9.1k citations
7 papers · 4.1k indexed · 1 hit paper · h-index 6

Impact in

Papers in

Eric Mintun

7 papers receiving 4.0k citations

Hit Papers

Segment Anything 2023 · 4.0k citations
4.0k0+1+2Years since publication10002.0k3.0k4.0k

Peers

Eric Mintun
Comparison fields: 5 of 179
  • Computer Vision and Pattern Recognition 1.9k
  • Media Technology 404
  • Computer Graphics and Computer-Aided Design 127
  • Artificial Intelligence 904
  • Health Informatics 38
Replace Spencer Whitehead with:
Spencer Whitehead United States
Wan‐Yen Lo United States
Laura Gustafson
Tete Xiao United States
Nikhila Ravi United States
Vincent Dumoulin United States
Jonathan Masci Switzerland
Tai‐Jiang Mu China
Ishan Misra United States
Eric Mintun relative to Spencer Whitehead United States Spencer Whitehead's profile →
Citations per field
00.5×3.8×
Spencer Whitehead · 1×
Citations per year

Countries citing papers authored by Eric Mintun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

Border = papers with Eric Mintun Line = papers co-authored together Eric Mintun links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

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 Artificial Intelligence, having authored 7 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (5 papers), Black Holes and Theoretical Physics (5 papers), Noncommutative and Quantum Gravity Theories (3 papers), Particle physics theoretical and experimental studies (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Pulsars and Gravitational Waves Research (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (404 citations), Computer Graphics and Computer-Aided Design (127 citations), Artificial Intelligence (904 citations) and Health Informatics (38 citations). Eric Mintun has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Nikhila Ravi, Spencer Whitehead, Ross Girshick, Hanzi Mao, Piotr Dollár, Wan‐Yen Lo, Alexander C. Berg, Tete Xiao, Alexander M. Kirillov and Laura Gustafson. Their work appears in journals such as Journal of High Energy Physics, Classical and Quantum Gravity, Physical Review Letters and Physical review. D. Particles, fields, gravitation, and cosmology.

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.

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