Jeremy Sudweeks

3.2k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Jeremy Sudweeks is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology and Automotive Engineering. According to data from OpenAlex, Jeremy Sudweeks has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Safety, Risk, Reliability and Quality, 7 papers in Social Psychology and 4 papers in Automotive Engineering. Recurrent topics in Jeremy Sudweeks's work include Traffic and Road Safety (8 papers), Human-Automation Interaction and Safety (6 papers) and Autonomous Vehicle Technology and Safety (3 papers). Jeremy Sudweeks is often cited by papers focused on Traffic and Road Safety (8 papers), Human-Automation Interaction and Safety (6 papers) and Autonomous Vehicle Technology and Safety (3 papers). Jeremy Sudweeks collaborates with scholars based in United States. Jeremy Sudweeks's 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 and has published in prestigious journals such as Accident Analysis & Prevention, Topics in Catalysis and Journal of Safety Research.

In The Last Decade

Jeremy Sudweeks

12 papers receiving 981 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The 100-Car Naturalistic Driving Study: Phase II - Results of the 100-Car Field Experiment

2006 529 citations Thomas A. Dingus, Sheila G. Klauer et al. PsycEXTRA Dataset profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeremy Sudweeks United States	8	707	588	346	183	114	13	1.1k
Vicki L. Neale United States	11	644 0.9×	536 0.9×	351 1.0×	167 0.9×	100 0.9×	30	1.1k
Zachary R. Doerzaph United States	11	493 0.7×	429 0.7×	296 0.9×	120 0.7×	82 0.7×	54	896
R R Knipling United States	15	684 1.0×	558 0.9×	328 0.9×	146 0.8×	87 0.8×	62	1.1k
Michelle L. Reyes United States	8	678 1.0×	797 1.4×	288 0.8×	139 0.8×	102 0.9×	22	1.2k
James R. Sayer United States	19	694 1.0×	551 0.9×	391 1.1×	235 1.3×	108 0.9×	79	1.1k
Siby Samuel United States	19	646 0.9×	621 1.1×	159 0.5×	127 0.7×	135 1.2×	98	1.0k
Katja Kircher Sweden	21	782 1.1×	1.1k 1.8×	353 1.0×	276 1.5×	109 1.0×	74	1.5k
Youjia Fang United States	13	547 0.8×	342 0.6×	209 0.6×	205 1.1×	139 1.2×	18	799
Christina M. Rudin-Brown Australia	19	837 1.2×	845 1.4×	270 0.8×	215 1.2×	101 0.9×	70	1.3k
David Ramsey France	8	441 0.6×	370 0.6×	227 0.7×	111 0.6×	75 0.7×	13	744

Countries citing papers authored by Jeremy Sudweeks

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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13 of 13 papers shown

Sudweeks, Jeremy, et al.. (2024). Determination of rates of occurrence for hydroplaning events with naturalistic driving data. Journal of Safety Research. 91. 303–313.

Pérez, Miguel A., et al.. (2022). Differences in frequency of occurrence, event characteristics, and pre-impact vehicle kinematics between crashes, near-crashes, and single vehicle conflicts in a large-scale naturalistic driving study. Traffic Injury Prevention. 24(1). 32–37. 1 indexed citations

Pérez, Miguel A., et al.. (2021). Factors modifying the likelihood of speeding behaviors based on naturalistic driving data. Accident Analysis & Prevention. 159. 106267–106267. 33 indexed citations

Pérez, Miguel A., Jeremy Sudweeks, Jonathan F. Antin, et al.. (2017). Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data. Accident Analysis & Prevention. 103. 10–19. 72 indexed citations

Sudweeks, Jeremy. (2015). Using Functional Classification to Enhance Naturalistic Driving Data Crash/Near Crash Algorithms. VTechWorks (Virginia Tech). 4 indexed citations

Owens, Justin M., Shane McLaughlin, & Jeremy Sudweeks. (2010). Driver performance while text messaging using handheld and in-vehicle systems. Accident Analysis & Prevention. 43(3). 939–947. 134 indexed citations

Owens, Justin M., Shane McLaughlin, & Jeremy Sudweeks. (2010). On-Road Comparison of Driving Performance Measures When Using Handheld and Voice-Control Interfaces for Mobile Phones and Portable Music Players. SAE International Journal of Passenger Cars - Mechanical Systems. 3(1). 734–743. 26 indexed citations

Lee, Suzanne E. & Jeremy Sudweeks. (2006). Evaluation of Safety and Acceptance of Logo Motherboards Containing More Than One Service Type. Transportation Research Board 85th Annual MeetingTransportation Research Board. 2 indexed citations

Dingus, Thomas A., Sheila G. Klauer, Vicki L. Neale, et al.. (2006). The 100-Car Naturalistic Driving Study: Phase II - Results of the 100-Car Field Experiment. PsycEXTRA Dataset. 529 indexed citations breakdown →

10.

Neale, Vicki L., Thomas A. Dingus, Sheila G. Klauer, Jeremy Sudweeks, & Michael J. Goodman. (2005). An overview of the 100-car naturalistic study and findings. 2005. 250 indexed citations

11.

Klauer, Sheila G., Vicki L. Neale, Thomas A. Dingus, David Ramsey, & Jeremy Sudweeks. (2005). Driver Inattention: A Contributing Factor to Crashes and Near-Crashes. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49(22). 1922–1926. 27 indexed citations

12.

Lee, Suzanne E., Thomas A. Dingus, Sheila G. Klauer, Vicki L. Neale, & Jeremy Sudweeks. (2005). Naturalistic Data Collection of Driver Performance in Familiar and Unfamiliar Vehicles. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49(22). 1994–1998. 2 indexed citations

13.

Xu, Jian, Calvin H. Bartholomew, Jeremy Sudweeks, & Dennis L. Eggett. (2003). Design, Synthesis, and Catalytic Properties of Silica-Supported, Pt-Promoted Iron Fischer–Tropsch Catalysts. Topics in Catalysis. 26(1-4). 55–71. 58 indexed citations

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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