Jack Terwilliger
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Traffic and Road Safety
Papers in
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- Autonomous Vehicle Technology and Safety 3
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- Human-Automation Interaction and Safety 1
- Co-authors
- Lex Fridman (5 shared papers)Li Ding (4 shared papers)Bryan Reimer (4 shared papers)Bruce Mehler (3 shared papers)Michael Glazer (2 shared papers)Sean Seaman (2 shared papers)Bobbie Seppelt (2 shared papers)Alea Mehler (2 shared papers)
- Journals
- ACM Transactions on Computer-Human Interaction (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)IEEE Access (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jack Terwilliger
7 papers receiving 256 citations
Peers
Comparison fields: 5 of 71
- Automotive Engineering 92
- Safety, Risk, Reliability and Quality 44
- Computer Vision and Pattern Recognition 85
- Social Psychology 76
- Human-Computer Interaction 15
Countries citing papers authored by Jack Terwilliger
This map shows the geographic impact of Jack Terwilliger'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 Jack Terwilliger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Terwilliger more than expected).
Fields of papers citing papers by Jack Terwilliger
This network shows the impact of papers produced by Jack Terwilliger. 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 Jack Terwilliger. The network helps show where Jack Terwilliger may publish in the future.
Co-authors
The 20 scholars most cited alongside Jack Terwilliger, 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 | 2019 | 162 | |
| 2 | MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation | 2017 | 60 |
| 3 | 2021 | 17 | |
| 4 | DeepTraffic: Driving Fast through Dense Traffic with Deep Reinforcement Learning. | 2018 | 13 |
| 5 | 2022 | 12 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 0 |
About Jack Terwilliger
Jack Terwilliger is a scholar working on Automotive Engineering, Social Psychology, Computer Vision and Pattern Recognition, Control and Systems Engineering and Developmental Biology, having authored 8 papers that have together received 276 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Retinal Imaging and Analysis (1 paper), Human-Animal Interaction Studies (1 paper), Advanced Vision and Imaging (1 paper), Traffic Prediction and Management Techniques (1 paper), Human-Automation Interaction and Safety (1 paper), Human Pose and Action Recognition (1 paper) and Animal Vocal Communication and Behavior (1 paper). The work is most often cited by research in Automotive Engineering (92 citations), Safety, Risk, Reliability and Quality (44 citations), Computer Vision and Pattern Recognition (85 citations), Social Psychology (76 citations) and Human-Computer Interaction (15 citations). Jack Terwilliger has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Lex Fridman, Li Ding, Bryan Reimer, Bruce Mehler, Michael Glazer, Sean Seaman, Bobbie Seppelt, Alea Mehler, Linda Angell and Rini Sherony. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, IEEE Transactions on Intelligent Vehicles, IEEE Access, Philosophical Transactions of the Royal Society B Biological Sciences and PLoS ONE.
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.