Timothy L. Brown

5.7k total citations
163 papers, 4.2k citations indexed

About

Timothy L. Brown is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology and Pharmacology. According to data from OpenAlex, Timothy L. Brown has authored 163 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Safety, Risk, Reliability and Quality, 46 papers in Social Psychology and 25 papers in Pharmacology. Recurrent topics in Timothy L. Brown's work include Traffic and Road Safety (53 papers), Human-Automation Interaction and Safety (43 papers) and Cannabis and Cannabinoid Research (25 papers). Timothy L. Brown is often cited by papers focused on Traffic and Road Safety (53 papers), Human-Automation Interaction and Safety (43 papers) and Cannabis and Cannabinoid Research (25 papers). Timothy L. Brown collaborates with scholars based in United States, Australia and Canada. Timothy L. Brown's co-authors include John D. Lee, Paul B. Fitzgerald, Zafiris J. Daskalakis, Daniel V. McGehee, Jayashri Kulkarni, Anthony de Castella, Michelle L. Reyes, Gary Milavetz, Chris Schwarz and Natasha Marston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and American Journal of Psychiatry.

In The Last Decade

Timothy L. Brown

150 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy L. Brown United States 32 1.2k 1.1k 1.0k 922 639 163 4.2k
Matthew Rizzo United States 40 1.2k 1.0× 176 0.2× 1.3k 1.3× 1.8k 2.0× 160 0.3× 198 5.2k
John F. Golding United Kingdom 37 552 0.4× 1.3k 1.2× 77 0.1× 1.0k 1.1× 220 0.3× 99 4.2k
Pierre Philip France 54 1.4k 1.1× 58 0.1× 800 0.8× 3.4k 3.6× 245 0.4× 265 9.5k
Michael G. Lilienthal United States 11 1.2k 1.0× 212 0.2× 347 0.3× 1.2k 1.3× 144 0.2× 19 4.3k
Norman E. Lane United States 11 1.3k 1.0× 155 0.1× 328 0.3× 1.1k 1.2× 110 0.2× 23 4.3k
Mark S. Redfern United States 50 705 0.6× 1.3k 1.2× 116 0.1× 1.2k 1.3× 964 1.5× 231 8.5k
Joanne M. Wood Australia 45 1.2k 1.0× 143 0.1× 2.3k 2.3× 1.3k 1.4× 64 0.1× 279 6.6k
Normand Teasdale Canada 45 857 0.7× 321 0.3× 340 0.3× 1.9k 2.0× 939 1.5× 129 6.6k
Christian Guilleminault United States 81 454 0.4× 133 0.1× 278 0.3× 5.5k 6.0× 178 0.3× 345 21.8k
Shawn Marshall Canada 43 347 0.3× 56 0.1× 1.6k 1.5× 282 0.3× 233 0.4× 207 6.0k

Countries citing papers authored by Timothy L. Brown

Since Specialization
Citations

This map shows the geographic impact of Timothy L. Brown'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 Timothy L. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy L. Brown more than expected).

Fields of papers citing papers by Timothy L. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy L. Brown. 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 Timothy L. Brown. The network helps show where Timothy L. Brown may publish in the future.

Co-authorship network of co-authors of Timothy L. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy L. Brown. A scholar is included among the top collaborators of Timothy L. Brown 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 Timothy L. Brown. Timothy L. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miller, Ryan, et al.. (2023). Predicting changes in driving performance in individuals who use cannabis following acute use based on self-reported readiness to drive. Accident Analysis & Prevention. 195. 107376–107376. 4 indexed citations
2.
Lambert, Bradley S., et al.. (2023). Patient Perceptions of Same-Day Discharge Versus Overnight Stay After Total Joint Arthroplasty: Results of a Survey. HSS Journal® The Musculoskeletal Journal of Hospital for Special Surgery. 20(1). 96–101. 2 indexed citations
3.
Carender, Christopher N., et al.. (2023). What Is the Fate of Total Joint Arthroplasty Patients Who Are Asked to Quit Smoking Prior to Surgery?. Arthroplasty Today. 19. 101087–101087. 2 indexed citations
4.
Brown, Timothy L., et al.. (2022). Sensitivity to dose or blood levels of alprazolam in predicting driving impairment. Traffic Injury Prevention. 23(sup1). 1 indexed citations
5.
Brown, Timothy L., et al.. (2022). Perceived effects of cannabis: Generalizability of changes in driving performance. Traffic Injury Prevention. 23(sup1). S8–S13. 2 indexed citations
6.
Brown, Timothy L., Gary Gaffney, Gary Milavetz, et al.. (2022). A study of self-reported personal cannabis use and state legal status and associations with engagement in and perceptions of cannabis-impaired driving. Traffic Injury Prevention. 23(sup1). S183–S186. 3 indexed citations
7.
Brown, Timothy L., et al.. (2021). Perceived effects of cannabis and changes in driving performance under the influence of cannabis. Traffic Injury Prevention. 22(sup1). S8–S13. 6 indexed citations
8.
Brown, Timothy L., et al.. (2021). Cannabis use and reported effects on driving among adults in Iowa. Traffic Injury Prevention. 22(sup1). S187–S189. 2 indexed citations
9.
DeMik, David E., Christopher N. Carender, Qiang An, et al.. (2021). Has Removal From the Inpatient-Only List Increased Complications After Outpatient Total Knee Arthroplasty?. The Journal of Arthroplasty. 36(7). 2297–2301.e1. 14 indexed citations
10.
Brown, Timothy L., Christian Richard, Amir H. Meghdadi, et al.. (2020). EEG biomarkers acquired during a short, straight-line simulated drive to predict impairment from cannabis intoxication. Traffic Injury Prevention. 21(sup1). S130–S134. 7 indexed citations
11.
Marshall, Dawn, et al.. (2017). Connected Vehicle Alerts: One Size Doesn’t Fit All Scenarios. Transportation Research Board 96th Annual MeetingTransportation Research Board.
12.
Schwarz, Chris, Timothy L. Brown, John Gaspar, et al.. (2015). Mitigating Drowsiness: Linking Detection to Mitigation. 2 indexed citations
13.
Nadler, Eric, Eric C. Traube, Neil Lerner, et al.. (2013). Development of Crash Warning Interface Metrics (CWIM).
14.
Lee, John, Timothy L. Brown, Dary Fiorentino, et al.. (2011). Using vehicle-based sensors of driver behavior to detect alcohol impairment. 3 indexed citations
15.
Lerner, Neil, James W. Jenness, Eric C. Traube, et al.. (2011). Crash Warning Interface Metrics: Evaluating Driver-Vehicle Interface Characteristics for Advanced Crash Warning Systems. 1 indexed citations
16.
Brown, Timothy L., et al.. (2010). Accuracy of EDR During Rotation on Low Friction Surfaces. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
17.
Hoffman, Joshua, John D. Lee, Timothy L. Brown, & Daniel V. McGehee. (2006). Comparison of Driver Braking Responses in a High Fidelity Driving Simulator and on a Test Track. 16(4). 56–61. 3 indexed citations
18.
Gawron, Valerie J., et al.. (2005). Safety Evaluation of Lane Change Collision Avoidance Systems Using the National Advanced Driving Simulator. 2005. 9 indexed citations
19.
Remington, Bob, et al.. (2000). A computer simulation paradigm for self-injurious behaviour. Journal of Intellectual Disability Research. 1 indexed citations
20.
Brown, Timothy L., et al.. (2000). DOES A SPEECH-BASED INTERFACE FOR AN IN-VEHICLE COMPUTER DISTRACT DRIVERS?. 4 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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