Brian Corrie

954 citations
21 papers · 488 indexed · h-index 11

Impact in

Papers in

Brian Corrie

19 papers receiving 450 citations

Peers

Brian Corrie
Comparison fields: 5 of 82
  • Computer Graphics and Computer-Aided Design 59
  • Immunology 223
  • Radiology, Nuclear Medicine and Imaging 108
  • Computer Vision and Pattern Recognition 69
  • Information Systems and Management 23
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C Rosse United States
Jiazhou Liu China
Joel H. Saltz United States
Miloš Kudělka Czechia
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Hiroshi Tezuka Japan
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I. B. Gurevich Russia
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Citations per field
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Citations per year

Countries citing papers authored by Brian Corrie

Since Specialization
Citations

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

Fields of papers citing papers by Brian Corrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 2018105
3 201859
4 201936
5 199328
6 202027
7
Awareness meets requirements management: Awareness needs in Global Software Development
200326
8 200417
9
Towards Quality of Experience in Advanced Collaborative Environments
200317
10
Parallel volume rendering and data coherence on the Fujitsu AP1000
199213
11 199311
12 20239
13 19948
14 20076
15 20223
16
Data shader language and interface specification
19933
17 20172
18 20251
19 19971
20 20240

About Brian Corrie

Brian Corrie is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Information Systems and Management, Immunology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 488 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Single-cell and spatial transcriptomics (6 papers), vaccines and immunoinformatics approaches (5 papers), Computer Graphics and Visualization Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers), Scientific Computing and Data Management (3 papers), Virtual Reality Applications and Impacts (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (59 citations), Immunology (223 citations), Radiology, Nuclear Medicine and Imaging (108 citations), Computer Vision and Pattern Recognition (69 citations) and Information Systems and Management (23 citations). Brian Corrie has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Paul Mackerras, Nishanth Marthandan, Lindsay G. Cowell, Felix Breden, Scott Christley, Jamie K. Scott, Christian E. Busse, Uri Laserson, Uri Hershberg and Steven H. Kleinstein. Their work appears in journals such as Frontiers in Big Data, Diabetologia, Frontiers in Immunology, Nature Immunology and Cell Systems.

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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