Brian Larson

17 papers receiving 446 citations

Peers

Brian Larson
Comparison fields: 5 of 86
  • Structural Biology 25
  • Software 42
  • Atomic and Molecular Physics, and Optics 240
  • Surfaces, Coatings and Films 36
  • Materials Chemistry 127
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L. D. Marks United States
Natalia Silvis-Cividjian Netherlands
E. Calabrese Italy
Huihuo Zheng United States
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J.P. Pérez France
Ulf Lorenz Germany
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Citations per year

Countries citing papers authored by Brian Larson

Since Specialization
Citations

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

Fields of papers citing papers by Brian Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1992311
2 201754
3 199344
4 202310
5 201910
6 20219
7 20166
8 20166
9 20165
10 19935
11
Structure and Statistics of the Self-Power Map
20102
12
The Soviet Navy: Strengths And Liabilities
19862
13
Law’s Enterprise: Argumentation Schemes & Legal Analogy
20191
14 20181
15
Gender/Genre: The Lack of Gendered Register in Texts Requiring Genre Knowledge
20161
16 20131
17
Effects of home exercise on immediate and delayed affect and mood among rural individuals at risk for type 2 diabetes mellitus.
20111
18 20071
19 20221
20 20230

About Brian Larson

Brian Larson is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Law, Computer Networks and Communications and Political Science and International Relations, having authored 20 papers that have together received 471 indexed citations. Recurring topics across this work include Legal Education and Practice Innovations (2 papers), Software System Performance and Reliability (2 papers), Translation Studies and Practices (2 papers), Automotive and Human Injury Biomechanics (2 papers), Discourse Analysis in Language Studies (2 papers), Authorship Attribution and Profiling (2 papers), Software Reliability and Analysis Research (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Structural Biology (25 citations), Software (42 citations), Atomic and Molecular Physics, and Optics (240 citations), Surfaces, Coatings and Films (36 citations) and Materials Chemistry (127 citations). Brian Larson has collaborated with scholars based in United States, Czechia and Switzerland. Frequent co-authors include K. D. Brommer, M. Needels, J. D. Joannopoulos, Alberto Avritzer, Hye‐Chung Kum, Cason Schmit, Marcin Lewiński, Richard A. Watson, Christoph Lumer and Kenneth C. Walker. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Argumentation, Written Communication, Physical Review Letters and University of Cincinnati law review.

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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