Jeremy Sudweeks
- Safety, Risk, Reliability and Quality top 0.5%
- Social Psychology top 2%
- Automotive Engineering top 2%
- Transportation top 2%
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Co-authors
- Thomas A. DingusSheila G. KlauerVicki L. NealeMiguel A. PérezJustin M. OwensShane McLaughlinMichael J. GoodmanJonathan M. Hankey
- Topics
- Traffic and Road Safety (8 papers)Human-Automation Interaction and Safety (6 papers)Autonomous Vehicle Technology and Safety (3 papers)
- Partner nations
- United States
In The Last Decade
Jeremy Sudweeks
12 papers receiving 981 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Safety, Risk, Reliability and Quality 707
- Social Psychology 588
- Automotive Engineering 346
- Transportation 183
- Physical Therapy, Sports Therapy and Rehabilitation 114
Countries citing papers authored by Jeremy Sudweeks
This map shows the geographic impact of Jeremy Sudweeks'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 Jeremy Sudweeks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Sudweeks more than expected).
Fields of papers citing papers by Jeremy Sudweeks
This network shows the impact of papers produced by Jeremy Sudweeks. 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 Jeremy Sudweeks. The network helps show where Jeremy Sudweeks may publish in the future.
Co-authorship network of co-authors of Jeremy Sudweeks
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Sudweeks. A scholar is included among the top collaborators of Jeremy Sudweeks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeremy Sudweeks. Jeremy Sudweeks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 72 | |
| 5 | Using Functional Classification to Enhance Naturalistic Driving Data Crash/Near Crash Algorithms | 4 |
| 6 | 134 | |
| 7 | 26 | |
| 8 | Evaluation of Safety and Acceptance of Logo Motherboards Containing More Than One Service Type | 2 |
| 9 | The 100-Car Naturalistic Driving Study: Phase II - Results of the 100-Car Field Experimentbreakdown → | 529 |
| 10 | An overview of the 100-car naturalistic study and findings | 250 |
| 11 | 27 | |
| 12 | 2 | |
| 13 | 58 |
About Jeremy Sudweeks
Jeremy Sudweeks is a scholar working on Safety, Risk, Reliability and Quality, Physical Therapy, Sports Therapy and Rehabilitation and Social Psychology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traffic and Road Safety (8 papers), Human-Automation Interaction and Safety (6 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (707 citations), Automotive Engineering (346 citations) and Social Psychology (588 citations). Jeremy Sudweeks has collaborated with scholars based in United States. Frequent co-authors include Thomas A. Dingus, Sheila G. Klauer, Vicki L. Neale, Miguel A. Pérez, Justin M. Owens, Shane McLaughlin, Michael J. Goodman, Jonathan M. Hankey, David Ramsey and Suzanne E. Lee. Their work appears in journals such as Accident Analysis & Prevention, Topics in Catalysis and Journal of Safety Research.
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.