Travis Larson
Impact in
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- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
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- Product Development and Customization
Papers in
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- Neuroscience and Music Perception 3
- Hearing Loss and Rehabilitation 2
- Neural dynamics and brain function 1
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- Optimization and Packing Problems 2
- Advanced Manufacturing and Logistics Optimization 2
- Co-authors
- Andrew Kusiak (3 shared papers)Juite Wang (1 shared paper)Nandakumar S. Narayanan (2 shared papers)Qiang Zhang (2 shared papers)David Hurwitz (1 shared paper)Young-Cho Kim (1 shared paper)Qiang Zhang (1 shared paper)Shaun Quayle (1 shared paper)
- Journals
- Computers & Industrial Engineering (1 paper)Neuroscience (1 paper)Transportation Research Interdisciplinary Perspectives (1 paper)Behavioural Brain Research (1 paper)Neuroscience Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Travis Larson
7 papers receiving 275 citations
Peers
Comparison fields: 5 of 62
- Industrial and Manufacturing Engineering 210
- Management of Technology and Innovation 82
- Building and Construction 68
- Management Information Systems 42
- Mechanical Engineering 60
Countries citing papers authored by Travis Larson
This map shows the geographic impact of Travis 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 Travis Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Larson more than expected).
Fields of papers citing papers by Travis Larson
This network shows the impact of papers produced by Travis 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 Travis Larson. The network helps show where Travis Larson may publish in the future.
Co-authors
The 12 scholars most cited alongside Travis 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 | 1994 | 147 | |
| 2 | 1997 | 62 | |
| 3 | 1997 | 57 | |
| 4 | 2019 | 11 | |
| 5 | 2022 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2021 | 8 |
About Travis Larson
Travis Larson is a scholar working on Cognitive Neuroscience, Industrial and Manufacturing Engineering, Building and Construction, Cellular and Molecular Neuroscience and Social Psychology, having authored 7 papers that have together received 304 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (3 papers), BIM and Construction Integration (2 papers), Optimization and Packing Problems (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Hearing Loss and Rehabilitation (2 papers), Diverse Music Education Insights (1 paper), Design Education and Practice (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (210 citations), Management of Technology and Innovation (82 citations), Building and Construction (68 citations), Management Information Systems (42 citations) and Mechanical Engineering (60 citations). Travis Larson has collaborated with scholars based in United States. Frequent co-authors include Andrew Kusiak, Juite Wang, Nandakumar S. Narayanan, Qiang Zhang, David Hurwitz, Young-Cho Kim, Qiang Zhang, Shaun Quayle, David K. Meyerholz and Georgina M. Aldridge. Their work appears in journals such as Computers & Industrial Engineering, Neuroscience, Transportation Research Interdisciplinary Perspectives, Behavioural Brain Research and Neuroscience Letters.
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.