Jack Weast
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Traffic and Road Safety
- Safety Systems Engineering in Autonomy
Papers in ⓘ
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- Safety Systems Engineering in Autonomy 4
- Traffic and Road Safety 4
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- Autonomous Vehicle Technology and Safety 7
- Co-authors
- Jeffrey Wishart (3 shared papers)Ignacio Álvarez (3 shared papers)Brendan J. Russo (1 shared paper)Emmanuel James (1 shared paper)Fabian Oboril (2 shared papers)Shuang Liu (1 shared paper)Peter van Beek (1 shared paper)Andrew Smart (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (2 papers)IFAC-PapersOnLine (1 paper)SAE International Journal of Advances and Current Practices in Mobility (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jack Weast
11 papers receiving 205 citations
Peers
Comparison fields: 5 of 41
- Automotive Engineering 121
- Safety, Risk, Reliability and Quality 66
- Software 12
- Computer Vision and Pattern Recognition 54
- Computer Networks and Communications 55
Countries citing papers authored by Jack Weast
This map shows the geographic impact of Jack Weast'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 Weast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Weast more than expected).
Fields of papers citing papers by Jack Weast
This network shows the impact of papers produced by Jack Weast. 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 Weast. The network helps show where Jack Weast may publish in the future.
Co-authors
The 18 scholars most cited alongside Jack Weast, 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 | UPnP Design by Example: A Software Developer's Guide to Universal Plug and Play | 2003 | 66 |
| 2 | 2020 | 46 | |
| 3 | 2019 | 37 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 12 | |
| 7 | PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML. | 2020 | 7 |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 2 | |
| 11 | Advanced Universal Plug and Play Technology Topics | 2009 | 1 |
About Jack Weast
Jack Weast is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering, Health Information Management, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 11 papers that have together received 222 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Safety Systems Engineering in Autonomy (4 papers), Traffic and Road Safety (4 papers), Adversarial Robustness in Machine Learning (2 papers), Traffic control and management (2 papers), Real-time simulation and control systems (2 papers), Human-Automation Interaction and Safety (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Automotive Engineering (121 citations), Safety, Risk, Reliability and Quality (66 citations), Software (12 citations), Computer Vision and Pattern Recognition (54 citations) and Computer Networks and Communications (55 citations). Jack Weast has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jeffrey Wishart, Ignacio Álvarez, Brendan J. Russo, Emmanuel James, Fabian Oboril, Shuang Liu, Peter van Beek, Andrew Smart, Shoumeng Yan and Christoph Stiller. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IFAC-PapersOnLine, SAE International Journal of Advances and Current Practices in Mobility and National Conference on Artificial Intelligence.
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.