Brian Grant

768 citations
12 papers · 368 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

Brian Grant

12 papers receiving 324 citations

Peers

Brian Grant
Comparison fields: 5 of 45
  • Hardware and Architecture 239
  • Software 73
  • Artificial Intelligence 167
  • Applied Psychology 26
  • Computer Networks and Communications 103
Replace Chris Seaton with:
Chris Seaton United Kingdom
Christian Skalka United States
Daniel L. Murphy United States
Ken Block United States
James H. Cownie United Kingdom
T K Srikanth India
Duncan Coutts Australia
Christopher Healy United States
Stephen Weeks United States
Karl Trygve Kalleberg Norway
Brian Grant relative to Chris Seaton United Kingdom Chris Seaton's profile →
Citations per field
00.5×6.5×
Chris Seaton · 1×
Citations per year

Countries citing papers authored by Brian Grant

Since Specialization
Citations

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

Fields of papers citing papers by Brian Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Brian Grant, 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 Grant Line = papers co-authored together Brian Grant links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000100
2 1999100
3 199762
4 198936
5
Self-help materials for anxiety: a randomized controlled trial in general practice.
199031
6 200017
7 19996
8
Guilty verdict in a murder committed by a veteran with Post-traumatic Stress Disorder.
19835
9 19975
10 20063
11 20042
12 19861

About Brian Grant

Brian Grant is a scholar working on Hardware and Architecture, Software, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 12 papers that have together received 368 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (7 papers), Parallel Computing and Optimization Techniques (7 papers), Logic, programming, and type systems (4 papers), Advanced Data Storage Technologies (2 papers), Smoking Behavior and Cessation (1 paper), Data Management and Algorithms (1 paper), Image Processing and 3D Reconstruction (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (239 citations), Software (73 citations), Artificial Intelligence (167 citations), Applied Psychology (26 citations) and Computer Networks and Communications (103 citations). Brian Grant has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Susan J. Eggers, Markus Mock, Matthai Philipose, Craig Chambers, Wayne Smith, Peter T. Donnan, Raheem J. Paxton, Anne Hutchinson and Mitchell G. Mihalynuk. Their work appears in journals such as ACM SIGPLAN Notices, Computers & Geosciences, Theoretical Computer Science, Psychiatric Services and Psychosomatics.

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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