Patrick McCormick

46 papers receiving 731 citations

Peers

Patrick McCormick
Comparison fields: 5 of 71
  • Computer Graphics and Computer-Aided Design 205
  • Hardware and Architecture 301
  • Computer Networks and Communications 310
  • Computer Vision and Pattern Recognition 248
  • Computational Mechanics 185
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Citations per year

Countries citing papers authored by Patrick McCormick

Since Specialization
Citations

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

Fields of papers citing papers by Patrick McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007101
2 200687
3 200877
4 200164
5 201753
6 200549
7 201335
8 200934
9 202033
10 200432
11 200730
12 201117
13 201611
14 201011
15 201711
16 201711
17 200610
18 201310
19 20079
20 20039

About Patrick McCormick

Patrick McCormick is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Information Systems, having authored 48 papers that have together received 788 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (25 papers), Advanced Data Storage Technologies (20 papers), Distributed and Parallel Computing Systems (19 papers), Computer Graphics and Visualization Techniques (14 papers), Data Visualization and Analytics (7 papers), Cloud Computing and Resource Management (6 papers), Advanced Vision and Imaging (5 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (205 citations), Hardware and Architecture (301 citations), Computer Networks and Communications (310 citations), Computer Vision and Pattern Recognition (248 citations) and Computational Mechanics (185 citations). Patrick McCormick has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Robert Strzodka, Jamaludin Mohd-Yusof, Stefan Turek, Dominik Göddeke, James Ahrens, Charles Hansen, Alex Aiken, Aaron Lefohn, Timothy J. Purcell and Ian Buck. Their work appears in journals such as IEEE Computer Graphics and Applications, Parallel Computing, Proceedings of the VLDB Endowment, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and IEEE Transactions on Visualization and Computer Graphics.

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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