Jack Weast

420 citations
12 papers · 299 · h-index 8

Impact in

Papers in

Jack Weast

12 papers receiving 279 citations

Peers

Jack Weast
Comparison fields: 5 of 44
  • Automotive Engineering 157
  • Safety, Risk, Reliability and Quality 97
  • Software 28
  • Computer Vision and Pattern Recognition 60
  • Control and Systems Engineering 65
Replace Lin Shen Liew with:
Lin Shen Liew Singapore
Fengjun Zhou Singapore
Thomas Ponn Germany
Christian Neurohr Germany
Stefan Otten Germany
Jianbo Tao Austria
Muhammad Rusyadi Ramli South Korea
Gereon Weiß Germany
Walther Wachenfeld Germany
Marcus Nolte Germany
Jack Weast relative to Lin Shen Liew Singapore Lin Shen Liew's profile →
Citations per field
00.5×1.5×2×2.4×
Lin Shen Liew · 1×
Citations per year

Countries citing papers authored by Jack Weast

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 19 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.

Border = papers with Jack Weast Line = papers co-authored together Jack Weast links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
UPnP Design by Example: A Software Developer's Guide to Universal Plug and Play
200380
2 202055
3 201941
4 201941
5 202125
6 202122
7 202113
8
PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML.
20209
9 20215
10 20214
11 20212
12
Advanced Universal Plug and Play Technology Topics
20092

About Jack Weast

Jack Weast is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Safety Systems Engineering in Autonomy (5 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), Innovation in Digital Healthcare Systems (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Automotive Engineering (157 citations), Safety, Risk, Reliability and Quality (97 citations), Software (28 citations), Computer Vision and Pattern Recognition (60 citations) and Control and Systems Engineering (65 citations). Jack Weast has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeffrey Wishart, Philip Koopman, Emmanuel James, Ignacio Álvarez, Brendan J. Russo, Fabian Oboril, Peter van Beek, Shuang Liu, Andrew Smart and Shoumeng Yan. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IFAC-PapersOnLine, Lecture notes in computer science, National Conference on Artificial Intelligence and SAE International Journal of Advances and Current Practices in Mobility.

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.

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