Brian N. Larson

709 citations
24 papers · 521 · h-index 7

Impact in

Papers in

  • Law 5
    • Legal Education and Practice Innovations 4
    • Judicial and Constitutional Studies 2
    • Law in Society and Culture 2
    • Discourse Analysis in Language Studies 3

Brian N. Larson

17 papers receiving 485 citations

Peers

Brian N. Larson
Comparison fields: 5 of 87
  • Structural Biology 25
  • Software 45
  • Atomic and Molecular Physics, and Optics 246
  • Surfaces, Coatings and Films 37
  • Health Informatics 7
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Citations per year

Countries citing papers authored by Brian N. Larson

Since Specialization
Citations

This map shows the geographic impact of Brian N. 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 N. 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 N. Larson more than expected).

Fields of papers citing papers by Brian N. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992324
2 201771
3 199346
4 200220
5 202313
6 201911
7 20168
8 19936
9 20166
10 20165
11
The Soviet Navy: Strengths And Liabilities
19862
12
Structure and Statistics of the Self-Power Map
20102
13 20151
14 20181
15
Law’s Enterprise: Argumentation Schemes & Legal Analogy
20191
16 20131
17 20241
18
Effects of home exercise on immediate and delayed affect and mood among rural individuals at risk for type 2 diabetes mellitus.
20111
19 20071
20 20170

About Brian N. Larson

Brian N. Larson is a scholar working on Law, Literature and Literary Theory, Artificial Intelligence, Software and Strategy and Management, having authored 24 papers that have together received 521 indexed citations. Recurring topics across this work include Legal Education and Practice Innovations (4 papers), Discourse Analysis in Language Studies (3 papers), Automotive and Human Injury Biomechanics (2 papers), Software Testing and Debugging Techniques (2 papers), Software System Performance and Reliability (2 papers), Judicial and Constitutional Studies (2 papers), Authorship Attribution and Profiling (2 papers) and Law in Society and Culture (2 papers). The work is most often cited by research in Structural Biology (25 citations), Software (45 citations), Atomic and Molecular Physics, and Optics (246 citations), Surfaces, Coatings and Films (37 citations) and Health Informatics (7 citations). Brian N. Larson has collaborated with scholars based in United States, Czechia and Poland. Frequent co-authors include Mark Needels, Karl D. Brommer, J. D. Joannopoulos, Alberto Avritzer, Emily J. McDowell, William Hart-Davidson, Charles J. Stankewich, Susan Mary Watson, Christoph Lumer and Steve Oswald. Their work appears in journals such as Argumentation, SAE technical papers on CD-ROM/SAE technical paper series, Future Internet, Physical Review Letters and Written Communication.

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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