William Barbour

568 total citations
31 papers, 278 citations indexed

About

William Barbour is a scholar working on Building and Construction, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, William Barbour has authored 31 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Building and Construction, 10 papers in Control and Systems Engineering and 8 papers in Automotive Engineering. Recurrent topics in William Barbour's work include Traffic Prediction and Management Techniques (12 papers), Traffic control and management (9 papers) and Autonomous Vehicle Technology and Safety (6 papers). William Barbour is often cited by papers focused on Traffic Prediction and Management Techniques (12 papers), Traffic control and management (9 papers) and Autonomous Vehicle Technology and Safety (6 papers). William Barbour collaborates with scholars based in United States, Netherlands and Israel. William Barbour's co-authors include Daniel B. Work, Derek Gloudemans, Junyi Ji, Abhishek Dubey, Hiba Baroud, Paul Johnson, Janey Camp, Eric J. Hall, Michael Wilbur and Marcos Quiñones-Grueiro and has published in prestigious journals such as PLoS ONE, IEEE Access and Transportation Research Part C Emerging Technologies.

In The Last Decade

William Barbour

27 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Barbour United States	9	130	89	84	78	61	31	278
Jiemin Xie China	9	69 0.5×	81 0.9×	107 1.3×	159 2.0×	27 0.4×	26	309
Gongyuan Lu China	9	75 0.6×	168 1.9×	125 1.5×	191 2.4×	133 2.2×	25	340
Zhiyuan Lin United Kingdom	6	71 0.5×	32 0.4×	178 2.1×	96 1.2×	28 0.5×	20	309
Lu Tong China	10	97 0.7×	104 1.2×	287 3.4×	353 4.5×	48 0.8×	19	500
Iwona Rybicka Poland	10	47 0.4×	115 1.3×	98 1.2×	68 0.9×	32 0.5×	32	298
Mingyang Pei China	12	84 0.6×	237 2.7×	44 0.5×	196 2.5×	115 1.9×	43	416
Alicia De-Los-Santos Spain	8	94 0.7×	124 1.4×	173 2.1×	326 4.2×	47 0.8×	12	414
Yixiang Yue China	11	61 0.5×	47 0.5×	283 3.4×	209 2.7×	41 0.7×	43	400
Lorenzo De Donato Sweden	6	60 0.5×	19 0.2×	113 1.3×	35 0.4×	33 0.5×	6	255

Countries citing papers authored by William Barbour

Since Specialization

Citations

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

Fields of papers citing papers by William Barbour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Barbour

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

All Works

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20 of 20 papers shown

Ji, Junyi, Derek Gloudemans, William Barbour, et al.. (2025). Stop-and-go wave super-resolution reconstruction via iterative refinement. Transportation Research Part C Emerging Technologies. 180. 105313–105313. 1 indexed citations

Lee, Jonathan, Daniel Urieli, Abdul Rahman Kreidieh, et al.. (2025). Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed-Autonomy Traffic. IEEE Control Systems. 45(1). 111–138. 2 indexed citations

Ji, Junyi, Marcos Quiñones-Grueiro, William Barbour, et al.. (2025). Real-World Deployment and Assessment of a Multiagent Reinforcement Learning-Based Variable-Speed-Limit Control System. IEEE Intelligent Transportation Systems Magazine. 18(2). 68–85.

Quiñones-Grueiro, Marcos, et al.. (2024). MARVEL: Bringing Multi-Agent Reinforcement- Learning Based Variable Speed Limit Controllers Closer to Deployment. IEEE Access. 12. 161995–162014. 1 indexed citations

Zhang, Zhiyao, et al.. (2024). Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers. 776–783. 2 indexed citations

Gloudemans, Derek, Gergely Zachár, Junyi Ji, et al.. (2024). So you think you can track?. 4516–4526. 10 indexed citations

Barbour, William, Gautam Biswas, Tyler Derr, et al.. (2024). FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. 15526–15549.

Gunter, George, et al.. (2024). Phase Re-Service in Reinforcement Learning Traffic Signal Control. 344–351. 1 indexed citations

Hu, Yue, et al.. (2023). Estimating road traffic impacts of commute mode shifts. PLoS ONE. 18(1). e0279738–e0279738.

10.

Quiñones-Grueiro, Marcos, et al.. (2023). Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study. 3215–3221. 2 indexed citations

11.

Quiñones-Grueiro, Marcos, et al.. (2023). Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control. 149–156. 6 indexed citations

12.

Johnson, Paul, William Barbour, Janey Camp, & Hiba Baroud. (2022). Using machine learning to examine freight network spatial vulnerabilities to disasters: A new take on partial dependence plots. Transportation Research Interdisciplinary Perspectives. 14. 100617–100617. 20 indexed citations

13.

Barbour, William & Daniel B. Work. (2021). Optimization methods for analysis of empirical rail dispatching relative to train plans. Journal of Rail Transport Planning & Management. 19. 100261–100261. 2 indexed citations

14.

Gloudemans, Derek, et al.. (2021). Quantifying social distancing compliance and the effects of behavioral interventions using computer vision. 1–5. 2 indexed citations

15.

Wilbur, Michael, et al.. (2021). Data driven methods for effective micromobility parking. Transportation Research Interdisciplinary Perspectives. 10. 100368–100368. 19 indexed citations

16.

Barbour, William, et al.. (2020). City-to-City and Temporal Assessment of Peer City Scooter Policy. Transportation Research Record Journal of the Transportation Research Board. 2674(7). 219–232. 17 indexed citations

17.

Barbour, William, et al.. (2019). Data-driven methods for dockless bike infrastructure planning. 578–583. 3 indexed citations

18.

Barbour, William, et al.. (2019). Data reconciliation of freight rail dispatch data. 79–98. 1 indexed citations

19.

Barbour, William, et al.. (2018). On the Data-Driven Prediction of Arrival Times for Freight Trains on U.S. Railroads. 2289–2296. 17 indexed citations

20.

Barbour, William, et al.. (1992). An Evaluation of the Jar Test for BaSO4 and SrSO4 Scale Inhibitors. 1–18. 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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