Jayson Lynch
Impact in
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- Online Learning and Analytics
Papers in
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- Artificial Intelligence in Games 8
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- Interconnection Networks and Systems 3
- Optimization and Search Problems 2
- Peer-to-Peer Network Technologies 2
- Co-authors
- Erik D. Demaine (18 shared papers)Kevin Liu (1 shared paper)Eugene Wu (1 shared paper)Nakul Verma (1 shared paper)Avi Shporer (1 shared paper)Taylor L. Patti (1 shared paper)Leonard Tang (1 shared paper)Linda Chen (1 shared paper)
- Journals
- Computational Geometry (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)Theoretical Computer Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Graphs and Combinatorics (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Jayson Lynch
21 papers receiving 107 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 5
- Computer Science Applications 15
- Artificial Intelligence 62
- Computer Graphics and Computer-Aided Design 5
- Hardware and Architecture 9
Countries citing papers authored by Jayson Lynch
This map shows the geographic impact of Jayson Lynch'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 Jayson Lynch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayson Lynch more than expected).
Fields of papers citing papers by Jayson Lynch
This network shows the impact of papers produced by Jayson Lynch. 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 Jayson Lynch. The network helps show where Jayson Lynch may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayson Lynch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 68 | |
| 2 | 2016 | 13 | |
| 3 | 2016 | 8 | |
| 4 | 2016 | 4 | |
| 5 | 2018 | 3 | |
| 6 | 2017 | 2 | |
| 7 | 2019 | 2 | |
| 8 | Collecting Things Under Time Pressure is Hard. | 2012 | 1 |
| 9 | 2020 | 1 | |
| 10 | 1987 | 1 | |
| 11 | Unfolding and dissection of multiple cubes | 2016 | 1 |
| 12 | 2017 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2020 | 1 |
About Jayson Lynch
Jayson Lynch is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Sociology and Political Science and Mechanical Engineering, having authored 27 papers that have together received 114 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (8 papers), Digital Games and Media (5 papers), Advanced Materials and Mechanics (4 papers), Parallel Computing and Optimization Techniques (4 papers), Computational Geometry and Mesh Generation (3 papers), Interconnection Networks and Systems (3 papers), Optimization and Search Problems (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Health Informatics (5 citations), Computer Science Applications (15 citations), Artificial Intelligence (62 citations), Computer Graphics and Computer-Aided Design (5 citations) and Hardware and Architecture (9 citations). Jayson Lynch has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Erik D. Demaine, Kevin Liu, Eugene Wu, Nakul Verma, Avi Shporer, Taylor L. Patti, Leonard Tang, Linda Chen, Gilbert Strang and Sarah Zhang. Their work appears in journals such as Computational Geometry, IEEE Journal on Selected Areas in Communications, Theoretical Computer Science, Proceedings of the National Academy of Sciences and Graphs and Combinatorics.
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.