Michael Magee

1.4k citations
77 papers · 972 · h-index 16

Impact in

Papers in

Michael Magee

68 papers receiving 897 citations

Peers

Michael Magee
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 446
  • Geriatrics and Gerontology 36
  • Aerospace Engineering 289
  • Mathematical Physics 62
  • Computer Graphics and Computer-Aided Design 24
Replace Daniela Giorgi with:
Daniela Giorgi Italy
Patrick Clarysse France
Isabel N. Figueiredo Portugal
Marek Franaszek United States
Yuli Fu China
Maximilian Baust Germany
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Xiao‐Liang Xie China
Hao Zou China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Magee

Since Specialization
Citations

This map shows the geographic impact of Michael 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 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 Magee more than expected).

Fields of papers citing papers by Michael Magee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael 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 Magee. The network helps show where Michael Magee may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Magee, 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 Michael Magee Line = papers co-authored together Michael Magee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984148
2 199195
3 199591
4 198575
5 198447
6 200046
7
The role of left ventricular hypertrophy and diabetes in the presence of transient ischemic dilation of the left ventricle on myocardial perfusion SPECT images.
200535
8 198434
9 198628
10 198527
11 199825
12 199725
13 199623
14
Automated Identification of Martian Craters Using Image Processing
200322
15 201720
16 200817
17 202215
18 202110
19 202110
20 201910

About Michael Magee

Michael Magee is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mathematical Physics, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 77 papers that have together received 972 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Image and Object Detection Techniques (14 papers), Advanced Algebra and Geometry (10 papers), Advanced Vision and Imaging (8 papers), Optical measurement and interference techniques (7 papers), Geometry and complex manifolds (6 papers), Geometric and Algebraic Topology (6 papers) and Random Matrices and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (446 citations), Geriatrics and Gerontology (36 citations), Aerospace Engineering (289 citations), Mathematical Physics (62 citations) and Computer Graphics and Computer-Aided Design (24 citations). Michael Magee has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include J. K. Aggarwal, J.K. Aggarwal, James Cury, William J. Wolfe, Donald W. Mathis, Chiun-Hong Chien, Jane Courtney, Hans Van der Wall, Louise Emmett and Neil Roy Connelly. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications in Mathematical Physics, Bone Marrow Transplantation and Cancer.

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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