Bruce H. McCormick

102 total papers · 1.4k total citations
48 papers, 888 citations indexed

About

Bruce H. McCormick is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Bruce H. McCormick has authored 48 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biophysics, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Bruce H. McCormick's work include Cell Image Analysis Techniques (17 papers), Medical Image Segmentation Techniques (6 papers) and Neural dynamics and brain function (6 papers). Bruce H. McCormick is often cited by papers focused on Cell Image Analysis Techniques (17 papers), Medical Image Segmentation Techniques (6 papers) and Neural dynamics and brain function (6 papers). Bruce H. McCormick collaborates with scholars based in United States, South Africa and Sweden. Bruce H. McCormick's co-authors include David Mayerich, Louise C. Abbott, Thomas A. DeFanti, Maxine Brown, Andrew T. Duchowski, Norman I. Badler, Tom DeFanti, Abraham Klein, Ryszard S. Michalski and John Keyser and has published in prestigious journals such as Langmuir, IEEE Transactions on Medical Imaging and Information Sciences.

In The Last Decade

Bruce H. McCormick

46 papers receiving 803 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bruce H. McCormick 359 159 140 119 79 48 888
Bei Wang 518 1.4× 130 0.8× 92 0.7× 241 2.0× 42 0.5× 109 1.0k
Paweł Dłotko 89 0.2× 122 0.8× 48 0.3× 61 0.5× 129 1.6× 52 962
Kristin Potter 498 1.4× 46 0.3× 145 1.0× 219 1.8× 96 1.2× 35 983
Bilge Karaçalı 387 1.1× 56 0.4× 38 0.3× 187 1.6× 153 1.9× 58 887
Guido Reina 416 1.2× 57 0.4× 226 1.6× 55 0.5× 16 0.2× 77 763
Gaurav Garg 334 0.9× 20 0.1× 146 1.0× 103 0.9× 42 0.5× 28 708
Krešimir Matković 538 1.5× 22 0.1× 163 1.2× 183 1.5× 31 0.4× 80 797
Shiwei Li 509 1.4× 110 0.7× 110 0.8× 44 0.4× 21 0.3× 30 820
Shusen Liu 365 1.0× 48 0.3× 53 0.4× 335 2.8× 12 0.2× 36 1.0k
Julien Tierny 487 1.4× 124 0.8× 204 1.5× 63 0.5× 6 0.1× 41 895

Countries citing papers authored by Bruce H. McCormick

Since Specialization
Citations

This map shows the geographic impact of Bruce H. McCormick'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 Bruce H. McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce H. McCormick more than expected).

Fields of papers citing papers by Bruce H. McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce H. McCormick. 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 Bruce H. McCormick. The network helps show where Bruce H. McCormick may publish in the future.

Co-authorship network of co-authors of Bruce H. McCormick

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce H. McCormick. A scholar is included among the top collaborators of Bruce H. McCormick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bruce H. McCormick. Bruce H. McCormick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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