Eric Larsen
Impact in
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- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 2
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- Data Management and Algorithms 2
- Co-authors
- Ming C. Lin (2 shared papers)Dinesh Manocha (2 shared papers)S. Gottschalk (1 shared paper)Emma Frejinger (4 shared papers)Andrea Lodi (3 shared papers)Yoshua Bengio (2 shared papers)Simon Lacoste-Julien (2 shared papers)Teodor Gabriel Crainic (1 shared paper)
- Journals
- INFORMS journal on computing (1 paper)European Journal of Operational Research (1 paper)Computer Graphics Forum (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Eric Larsen
6 papers receiving 276 citations
Peers
Comparison fields: 5 of 49
- Computer Graphics and Computer-Aided Design 93
- Computer Vision and Pattern Recognition 148
- Industrial and Manufacturing Engineering 53
- Control and Systems Engineering 88
- Human-Computer Interaction 18
Countries citing papers authored by Eric Larsen
This map shows the geographic impact of Eric Larsen'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 Eric Larsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Larsen more than expected).
Fields of papers citing papers by Eric Larsen
This network shows the impact of papers produced by Eric Larsen. 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 Eric Larsen. The network helps show where Eric Larsen may publish in the future.
Co-authors
The 10 scholars most cited alongside Eric Larsen, 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 | 2002 | 204 | |
| 2 | 1999 | 32 | |
| 3 | 2022 | 23 | |
| 4 | 2017 | 19 | |
| 5 | 2023 | 12 | |
| 6 | Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning. | 2018 | 8 |
About Eric Larsen
Eric Larsen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Transportation, Computer Graphics and Computer-Aided Design and Industrial and Manufacturing Engineering, having authored 6 papers that have together received 298 indexed citations. Recurring topics across this work include Data Management and Algorithms (2 papers), Transportation Planning and Optimization (2 papers), Robotic Path Planning Algorithms (2 papers), Computational Geometry and Mesh Generation (2 papers), Optimization and Packing Problems (2 papers), Machine Learning and Data Classification (1 paper), Vehicle emissions and performance (1 paper) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (93 citations), Computer Vision and Pattern Recognition (148 citations), Industrial and Manufacturing Engineering (53 citations), Control and Systems Engineering (88 citations) and Human-Computer Interaction (18 citations). Eric Larsen has collaborated with scholars based in Canada and United States. Frequent co-authors include Ming C. Lin, Dinesh Manocha, S. Gottschalk, Emma Frejinger, Andrea Lodi, Yoshua Bengio, Simon Lacoste-Julien, Teodor Gabriel Crainic, Gianluca Morganti and Bernard Gendron. Their work appears in journals such as INFORMS journal on computing, European Journal of Operational Research, Computer Graphics Forum and arXiv (Cornell University).
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.