Anuj Sharma

2.9k total citations
116 papers, 2.0k citations indexed

About

Anuj Sharma is a scholar working on Building and Construction, Transportation and Control and Systems Engineering. According to data from OpenAlex, Anuj Sharma has authored 116 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Building and Construction, 45 papers in Transportation and 42 papers in Control and Systems Engineering. Recurrent topics in Anuj Sharma's work include Traffic Prediction and Management Techniques (58 papers), Traffic control and management (40 papers) and Traffic and Road Safety (37 papers). Anuj Sharma is often cited by papers focused on Traffic Prediction and Management Techniques (58 papers), Traffic control and management (40 papers) and Traffic and Road Safety (37 papers). Anuj Sharma collaborates with scholars based in United States, India and China. Anuj Sharma's co-authors include Darcy M. Bullock, Chenhui Liu, Pranamesh Chakraborty, Arya Haghighat, James A. Bonneson, Edward J. Smaglik, Srinivas Peeta, Lelitha Vanajakshi, Soumik Sarkar and Yaw Adu‐Gyamfi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Anuj Sharma

110 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anuj Sharma United States 25 895 765 678 630 363 116 2.0k
Jun-Seok Oh United States 23 632 0.7× 449 0.6× 745 1.1× 519 0.8× 315 0.9× 141 1.9k
Jinghui Yuan United States 23 1.1k 1.2× 1.3k 1.7× 459 0.7× 672 1.1× 603 1.7× 39 2.0k
Carlos Sun United States 20 695 0.8× 568 0.7× 467 0.7× 684 1.1× 395 1.1× 124 1.5k
Ziyuan Pu China 22 1.1k 1.2× 463 0.6× 819 1.2× 716 1.1× 762 2.1× 67 2.3k
Hwasoo Yeo South Korea 29 919 1.0× 485 0.6× 898 1.3× 966 1.5× 685 1.9× 126 2.2k
Qing Cai United States 30 1.0k 1.1× 1.8k 2.4× 1.1k 1.7× 723 1.1× 683 1.9× 71 2.7k
Guizhen Yu China 30 568 0.6× 458 0.6× 637 0.9× 829 1.3× 833 2.3× 131 2.5k
Nicolas Saunier Canada 32 883 1.0× 2.1k 2.8× 1.0k 1.5× 944 1.5× 899 2.5× 136 3.4k
Lee D. Han United States 25 1.3k 1.4× 436 0.6× 1.3k 1.9× 845 1.3× 463 1.3× 110 2.4k

Countries citing papers authored by Anuj Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Sharma. A scholar is included among the top collaborators of Anuj Sharma 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 Anuj Sharma. Anuj Sharma 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.
2.
Chen, Jiajing, et al.. (2024). Rethinking the Evaluation of Driver Behavior Analysis Approaches. IEEE Transactions on Intelligent Transportation Systems. 25(8). 9958–9966. 3 indexed citations
3.
Hawkins, Neal, et al.. (2024). Real-Time Freeway Crash Detection Framework using Connected Vehicle Waypoint Data. Transportation Research Record Journal of the Transportation Research Board. 2679(3). 565–578. 1 indexed citations
4.
Adu‐Gyamfi, Yaw, et al.. (2023). MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension. SoftwareX. 24. 101588–101588. 1 indexed citations
5.
Chen, Jiajing, et al.. (2023). Driver Head Pose Detection From Naturalistic Driving Data. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9368–9377. 6 indexed citations
6.
Hawkins, Neal, et al.. (2023). Exploring the Efficacy of Large-Scale Connected Vehicle Data in Real-Time Traffic Applications. Transportation Research Record Journal of the Transportation Research Board. 2678(5). 651–665. 8 indexed citations
7.
Zhang, Minjiao, et al.. (2023). Crash Frequency Minimization with Severity Mitigation in Road Geometric Design Using Chance Constraint Programming Optimization. Journal of Advanced Transportation. 2023. 1–18. 1 indexed citations
8.
Sharma, Anuj, et al.. (2022). Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. Data in Brief. 46. 108793–108793. 25 indexed citations
9.
Singleton, Patrick A., et al.. (2021). Impact of COVID-19 on Traffic Signal Systems: Survey of Agency Interventions and Observed Changes in Pedestrian Activity. Transportation Research Record Journal of the Transportation Research Board. 2677(4). 192–203. 5 indexed citations
10.
Naphade, Milind, Zheng Tang, Ming‐Ching Chang, et al.. (2019). The 2019 AI City Challenge.. Computer Vision and Pattern Recognition. 452–460. 15 indexed citations
11.
Sharma, Anuj, et al.. (2019). Highway crash detection and risk estimation using deep learning. Accident Analysis & Prevention. 135. 105392–105392. 104 indexed citations
12.
Lu, Chaoru, et al.. (2018). Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models. Journal of Advanced Transportation. 2018. 1–15. 12 indexed citations
13.
Chakraborty, Pranamesh, et al.. (2017). Outlier Mining Based Traffic Incident Detection Using Big Data Analytics. Transportation Research Board 96th Annual MeetingTransportation Research Board. 7 indexed citations
14.
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Vanajakshi, Lelitha, et al.. (2013). A SIMPLE METHODOLOGY FOR ESTIMATION OF QUEUE LENGTH. International Journal of Innovative Research in Science Engineering and Technology. 2(1). 1–5. 2 indexed citations
16.
Sharma, Anuj, et al.. (2013). Safety impacts of signal-warning flashers and speed control at high-speed signalized intersections. Accident Analysis & Prevention. 54. 90–98. 65 indexed citations
17.
Zhao, Mo, et al.. (2012). Cost-Benefit Analysis of Providing Battery Backup at High-Speed Signalized Intersection. Transportation Research Board 91st Annual MeetingTransportation Research Board. 1 indexed citations
18.
Sharma, Anuj, et al.. (2012). The Impact of Microscopic Factors in Evaluating the Effects of Pedestrian Countdown Timers on Pedestrian Decisions. Transportation Research Board 91st Annual MeetingTransportation Research Board. 1 indexed citations
19.
Sharma, Anuj, et al.. (2011). Role of information on probability of traffic conflict on the onset of yellow. Advances in transportation studies. 6 indexed citations
20.
Vanajakshi, Lelitha, et al.. (2010). Red Light Violation Characteristics Under Heterogeneous Traffic Conditions: With and Without Countdown Timers. Transportation Research Board 89th Annual MeetingTransportation Research Board. 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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