Rini Sherony

1.2k total citations
94 papers, 880 citations indexed

About

Rini Sherony is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rini Sherony has authored 94 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Safety, Risk, Reliability and Quality, 33 papers in Automotive Engineering and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rini Sherony's work include Traffic and Road Safety (44 papers), Autonomous Vehicle Technology and Safety (28 papers) and Automotive and Human Injury Biomechanics (26 papers). Rini Sherony is often cited by papers focused on Traffic and Road Safety (44 papers), Autonomous Vehicle Technology and Safety (28 papers) and Automotive and Human Injury Biomechanics (26 papers). Rini Sherony collaborates with scholars based in United States, Switzerland and Japan. Rini Sherony's co-authors include Hampton C. Gabler, John M. Scanlon, Stanley Chien, Yaobin Chen, Renran Tian, Lingxi Li, Qiang Yi, Kenneth O. Stanley, Nate Kohl and Risto Miikkulainen and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Rini Sherony

91 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rini Sherony United States 17 396 374 187 159 153 94 880
Kristofer D. Kusano United States 17 683 1.7× 559 1.5× 359 1.9× 269 1.7× 178 1.2× 55 1.1k
Wassim G Najm United States 20 699 1.8× 628 1.7× 387 2.1× 323 2.0× 94 0.6× 76 1.2k
John M. Scanlon United States 14 308 0.8× 273 0.7× 122 0.7× 161 1.0× 120 0.8× 37 634
Pongsathorn Raksincharoensak Japan 21 273 0.7× 847 2.3× 208 1.1× 490 3.1× 27 0.2× 121 1.2k
W. Riley Garrott United States 16 262 0.7× 664 1.8× 290 1.6× 214 1.3× 176 1.2× 70 1.1k
Duanfeng Chu China 17 164 0.4× 673 1.8× 104 0.6× 479 3.0× 31 0.2× 75 1.0k
Xiaolin Song China 17 164 0.4× 578 1.5× 202 1.1× 423 2.7× 17 0.1× 70 1.0k
R D Ervin United States 18 183 0.5× 760 2.0× 95 0.5× 357 2.2× 84 0.5× 118 1.1k
Bo Cheng China 14 214 0.5× 299 0.8× 152 0.8× 199 1.3× 10 0.1× 31 662

Countries citing papers authored by Rini Sherony

Since Specialization
Citations

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

Fields of papers citing papers by Rini Sherony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rini Sherony. 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 Rini Sherony. The network helps show where Rini Sherony may publish in the future.

Co-authorship network of co-authors of Rini Sherony

This figure shows the co-authorship network connecting the top 25 collaborators of Rini Sherony. A scholar is included among the top collaborators of Rini Sherony 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 Rini Sherony. Rini Sherony 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.
Li, Lingxi, Sabyasachee Mishra, Renran Tian, et al.. (2024). E-scooter Crash Data Analysis towards E-scooter Automatic Emergency Braking System Design and Validation for Automated Vehicles*. 1323–1328. 1 indexed citations
2.
Smith, Colin P., et al.. (2022). Identifying Pedal Misapplication Behavior Using Event Data Recorders. SAE International Journal of Advances and Current Practices in Mobility. 5(1). 206–216.
3.
O’Neal, Elizabeth E., et al.. (2022). A comparison of daytime and nighttime pedestrian road-crossing behavior using an immersive virtual environment. Traffic Injury Prevention. 23(2). 97–101. 6 indexed citations
4.
O’Neal, Elizabeth E., et al.. (2021). How do pedestrians respond to adaptive headlamp systems in vehicles? A road-crossing study in an immersive virtual environment. Accident Analysis & Prevention. 160. 106298–106298. 9 indexed citations
5.
Brown, Tyish S. Hall, et al.. (2020). Simulator study on the effects of adaptive headlamp features on driver responses to pedestrians and bicyclists. Advances in transportation studies. 52. 47–62. 2 indexed citations
6.
Graci, Valentina, Thomas Seacrist, Jason Kerrigan, et al.. (2020). Age Differences in Occupant Motion during Simulated In-Vehicle Swerving Maneuvers. International Journal of Environmental Research and Public Health. 17(6). 1834–1834. 5 indexed citations
7.
Yi, Qiang, Dan Shen, Stanley Chien, et al.. (2019). Color and Height Characteristics of Surrogate Grass for the Evaluation of Vehicle Road Departure Mitigation Systems. SAE International Journal of Advances and Current Practices in Mobility. 1(4). 1461–1469. 1 indexed citations
8.
Gabler, Hampton C., et al.. (2019). Long-Term Evolution of Straight Crossing Path Crash Occurrence in the U.S. Fleet: The Potential of Intersection Active Safety Systems. SAE International Journal of Advances and Current Practices in Mobility. 1(4). 1454–1460. 2 indexed citations
9.
Shen, Dan, Qiang Yi, Lingxi Li, et al.. (2019). Test Scenarios Development and Data Collection Methods for the Evaluation of Vehicle Road Departure Prevention Systems. IEEE Transactions on Intelligent Vehicles. 4(3). 337–352. 14 indexed citations
10.
O’Neal, Elizabeth E., et al.. (2018). Pedestrian Road Crossing in Nighttime Lighting Conditions Using an Immersive Simulator. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
11.
Scanlon, John M., Rini Sherony, & Hampton C. Gabler. (2017). Models of Driver Acceleration Behavior Prior to Real-World Intersection Crashes. IEEE Transactions on Intelligent Transportation Systems. 19(3). 774–786. 32 indexed citations
12.
Sherony, Rini, et al.. (2016). Pedestrain/Bicyclist Limb Motion Analysis from 110-Car TASI Video Data for Autonomous Emergency Braking Testing Surrogate Development. 8. 1 indexed citations
13.
Sherony, Rini, Renran Tian, Stanley Chien, et al.. (2016). Pedestrian/Bicyclist Limb Motion Analysis from 110-Car TASI Video Data for Autonomous Emergency Braking Testing Surrogate Development. IUScholarWorks (Indiana University). 1 indexed citations
14.
Scanlon, John M., Kristofer D. Kusano, Rini Sherony, & Hampton C. Gabler. (2015). Potential safety benefits of lane departure warning and prevention systems in the U.S. vehicle fleet. 18 indexed citations
15.
Chien, Stanley, Kai Yang, Yaobin Chen, et al.. (2015). Determination of Pedestrian Mannequin Clothing Color for the Evaluation of Image RecognitionPerformance of Pedestrian Pre-Collision Systems. 1 indexed citations
16.
17.
LeBlanc, David J., et al.. (2013). Advanced surrogate target development for evaluating pre-collision systems. Digital Commons - Michigan Tech (Michigan Technological University). 3 indexed citations
18.
Yi, Qiang, et al.. (2013). Development of Equipment to Evaluate Pre-Collision Systems for Pedestrians. 2 indexed citations
19.
Du, Eliza Yingzi, Kai Yang, Feng Jiang, et al.. (2013). Pedestrian Behavior Analysis Using Naturalistic Driving Data in USA. 1 indexed citations
20.
Chien, Stanley, et al.. (2013). Joint motion pattern of limb moving mannequins for active safety vehicle tests. 2 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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