Michael J. Magee
Impact in
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- Advanced Vision and Imaging
- Image and Object Detection Techniques
- Optical measurement and interference techniques
- Advanced Image and Video Retrieval Techniques
- Mathematical Physics top 10%
- Spectral Theory in Mathematical Physics
Papers in
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- Spectral Theory in Mathematical Physics 9
- Advanced Algebra and Geometry 8
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- Advanced Vision and Imaging 14
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- J. K. Aggarwal (2 shared papers)J.K. Aggarwal (5 shared papers)William J. Wolfe (10 shared papers)Donald W. Mathis (5 shared papers)Doron Puder (7 shared papers)Chiun-Hong Chien (1 shared paper)Hee Oh (1 shared paper)Frédéric Naud (2 shared papers)
- Journals
- Pattern Recognition (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Communications in Mathematical Physics (3 papers)Annals of Mathematics (2 papers)Journal of the European Mathematical Society (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Michael J. Magee
57 papers receiving 645 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 400
- Mathematical Physics 84
- Algebra and Number Theory 31
- Discrete Mathematics and Combinatorics 30
- Geology 31
Countries citing papers authored by Michael J. Magee
This map shows the geographic impact of Michael J. Magee'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 Michael J. Magee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Magee more than expected).
Fields of papers citing papers by Michael J. Magee
This network shows the impact of papers produced by Michael J. Magee. 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 Michael J. Magee. The network helps show where Michael J. Magee may publish in the future.
Co-authors
The 20 scholars most cited alongside Michael J. Magee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 152 | |
| 2 | 1991 | 98 | |
| 3 | 1985 | 74 | |
| 4 | 1984 | 47 | |
| 5 | 1984 | 33 | |
| 6 | 1986 | 28 | |
| 7 | 2017 | 27 | |
| 8 | Automated Identification of Martian Craters Using Image Processing | 2003 | 22 |
| 9 | 2022 | 19 | |
| 10 | 2019 | 16 | |
| 11 | 2021 | 10 | |
| 12 | 1995 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 1991 | 8 | |
| 15 | 2005 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 1990 | 7 | |
| 18 | 1995 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2023 | 7 |
About Michael J. Magee
Michael J. Magee is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition, Geometry and Topology, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 65 papers that have together received 687 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Robot Manipulation and Learning (11 papers), Geometric and Algebraic Topology (10 papers), Spectral Theory in Mathematical Physics (9 papers), Advanced Algebra and Geometry (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Industrial Vision Systems and Defect Detection (7 papers) and Analytic Number Theory Research (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (400 citations), Mathematical Physics (84 citations), Algebra and Number Theory (31 citations), Discrete Mathematics and Combinatorics (30 citations) and Geology (31 citations). Michael J. Magee has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include J. K. Aggarwal, J.K. Aggarwal, William J. Wolfe, Donald W. Mathis, Doron Puder, Chiun-Hong Chien, Hee Oh, Frédéric Naud, William Hoff and Michael P. Rigney. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications in Mathematical Physics, Annals of Mathematics and Journal of the European Mathematical Society.
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.