Brian Corrie

976 citations
21 papers · 498 · h-index 11

Impact in

Papers in

    • Single-cell and spatial transcriptomics 6
    • vaccines and immunoinformatics approaches 5
    • T-cell and B-cell Immunology 7

Brian Corrie

19 papers receiving 464 citations

Peers

Brian Corrie
Comparison fields: 5 of 81
  • Computer Graphics and Computer-Aided Design 59
  • Immunology 211
  • Radiology, Nuclear Medicine and Imaging 100
  • Information Systems and Management 24
  • Computer Vision and Pattern Recognition 69
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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 2017118
2 2018108
3 201860
4 201937
5 202029
6 199328
7
Awareness meets requirements management: Awareness needs in Global Software Development
200326
8
Towards Quality of Experience in Advanced Collaborative Environments
200317
9 200417
10
Parallel volume rendering and data coherence on the Fujitsu AP1000
199213
11 199311
12 202310
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 Molecular Biology, Immunology, Computer Vision and Pattern Recognition, Computer Networks and Communications and Human-Computer Interaction, having authored 21 papers that have together received 498 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), Scientific Computing and Data Management (3 papers), Distributed and Parallel Computing Systems (3 papers), Virtual Reality Applications and Impacts (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (59 citations), Immunology (211 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Information Systems and Management (24 citations) and Computer Vision and Pattern Recognition (69 citations). Brian Corrie has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Paul Mackerras, Nishanth Marthandan, Felix Breden, Lindsay G. Cowell, Scott Christley, Jamie K. Scott, Christian E. Busse, Uri Laserson, Steven H. Kleinstein and Uri Hershberg. Their work appears in journals such as Future Generation Computer Systems, Frontiers in Big Data, Cell Systems, Nature Immunology and Diabetologia.

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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