Brian Larson
Impact in
- Software top 10%
Papers in
-
- Safety Systems Engineering in Autonomy 6
- Surgery 6
- Healthcare Technology and Patient Monitoring 6
- Co-authors
- Jimmy Lin (2 shared papers)John Hatcliff (8 shared papers)Krishna Gade (1 shared paper)Michael Busch (1 shared paper)Aneesh Sharma (1 shared paper)Julien Delange (2 shared papers)Patrice Chalin (3 shared papers)Yunwei Dong (3 shared papers)
- Journals
- Science China Information Sciences (1 paper)Proceedings of the VLDB Endowment (1 paper)IEEE Design and Test (1 paper)ACM SIGBED Review (1 paper)Biomedical Instrumentation & Technology (1 paper)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Brian Larson
16 papers receiving 278 citations
Peers
Comparison fields: 5 of 43
- Software 50
- Medical Laboratory Technology 8
- Safety, Risk, Reliability and Quality 42
- Signal Processing 49
- Computer Networks and Communications 104
Countries citing papers authored by Brian Larson
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
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 14 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 107 | |
| 2 | 2016 | 52 | |
| 3 | 2013 | 20 | |
| 4 | 2015 | 18 | |
| 5 | 2014 | 15 | |
| 6 | 2015 | 11 | |
| 7 | 2013 | 11 | |
| 8 | 2012 | 10 | |
| 9 | 2013 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2012 | 6 | |
| 14 | Delivering Business Intelligence with Microsoft SQL Server 2005 | 2006 | 5 |
| 15 | 2014 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2024 | 0 |
About Brian Larson
Brian Larson is a scholar working on Safety, Risk, Reliability and Quality, Surgery, Computational Theory and Mathematics, Software and Artificial Intelligence, having authored 17 papers that have together received 289 indexed citations. Recurring topics across this work include Healthcare Technology and Patient Monitoring (6 papers), Formal Methods in Verification (6 papers), Safety Systems Engineering in Autonomy (6 papers), Software Reliability and Analysis Research (4 papers), Embedded Systems Design Techniques (3 papers), Advanced Software Engineering Methodologies (3 papers), Caching and Content Delivery (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Software (50 citations), Medical Laboratory Technology (8 citations), Safety, Risk, Reliability and Quality (42 citations), Signal Processing (49 citations) and Computer Networks and Communications (104 citations). Brian Larson has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Jimmy Lin, John Hatcliff, Krishna Gade, Michael Busch, Aneesh Sharma, Julien Delange, Patrice Chalin, Yunwei Dong, Naijun Zhan and Yi Zhang. Their work appears in journals such as Science China Information Sciences, Proceedings of the VLDB Endowment, IEEE Design and Test, ACM SIGBED Review and Biomedical Instrumentation & Technology.
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.