Lauren H. Stephens
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 2
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- Traffic and Road Safety 2
- Building and Construction top 10%
- Traffic Prediction and Management Techniques 2
- Control and Systems Engineering top 10%
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- Alcoholism and Thiamine Deficiency 2
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- Functional Brain Connectivity Studies 2
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- Neurotransmitter Receptor Influence on Behavior 2
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- Substance Abuse Treatment and Outcomes 2
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- Innovative Microfluidic and Catalytic Techniques Innovation 1
- Co-authors
- Vishnu R. DesarajuGeorges S. AoudeJonathan P. HowThomas ValentinIan Y. WongSusan E. LeggettPo‐Yen ChenTimothy C. Durazzo
- Journals
- Lab on a Chip (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Drug and Alcohol Dependence (2 papers)
- Partner nations
- United States
In The Last Decade
Lauren H. Stephens
8 papers receiving 344 citations
Peers
Comparison fields: 5 of 71
- Automotive Engineering 231
- Safety, Risk, Reliability and Quality 85
- Building and Construction 100
- Control and Systems Engineering 71
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Lauren H. Stephens
This map shows the geographic impact of Lauren H. Stephens'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 Lauren H. Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren H. Stephens more than expected).
Fields of papers citing papers by Lauren H. Stephens
This network shows the impact of papers produced by Lauren H. Stephens. 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 Lauren H. Stephens. The network helps show where Lauren H. Stephens may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Lauren H. Stephens, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2017 | 78 | |
| 7 | 2012 | 6 | |
| 8 | 2012 | 188 | |
| 9 | Behavior Classification Algorithms at Intersections | 2011 | 1 |
| 10 | 2011 | 69 |
About Lauren H. Stephens
Lauren H. Stephens is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Cognitive Neuroscience, having authored 10 papers that have together received 351 indexed citations. Recurring topics across this work include Alcoholism and Thiamine Deficiency (2 papers), Traffic Prediction and Management Techniques (2 papers), Traffic and Road Safety (2 papers), Functional Brain Connectivity Studies (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Substance Abuse Treatment and Outcomes (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Automotive Engineering (231 citations), Safety, Risk, Reliability and Quality (85 citations) and Building and Construction (100 citations). Lauren H. Stephens has collaborated with scholars based in United States. Frequent co-authors include Vishnu R. Desaraju, Georges S. Aoude, Jonathan P. How, Thomas Valentin, Ian Y. Wong, Susan E. Leggett, Po‐Yen Chen, Timothy C. Durazzo, Benjamin A. Miller and Nadya Bliss. Their work appears in journals such as Lab on a Chip, IEEE Transactions on Intelligent Transportation Systems and Drug and Alcohol Dependence.
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.