Gregory J. Barlow

782 total citations
22 papers, 511 citations indexed

About

Gregory J. Barlow is a scholar working on Control and Systems Engineering, Artificial Intelligence and Transportation. According to data from OpenAlex, Gregory J. Barlow has authored 22 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 10 papers in Artificial Intelligence and 10 papers in Transportation. Recurrent topics in Gregory J. Barlow's work include Traffic control and management (10 papers), Transportation Planning and Optimization (10 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Gregory J. Barlow is often cited by papers focused on Traffic control and management (10 papers), Transportation Planning and Optimization (10 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Gregory J. Barlow collaborates with scholars based in United States, Hong Kong and Greece. Gregory J. Barlow's co-authors include Xiaofeng Xie, Andrew Nelson, Stephen F. Smith, Lefteris Doitsidis, Liang Lu, Chamteut Oh, Stephen Smith, Edward Grant, Edward Grant and Thomas C. Henderson and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, Robotics and Autonomous Systems and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Gregory J. Barlow

22 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Barlow United States 9 236 184 169 158 70 22 511
Olivier Simonin France 12 87 0.4× 107 0.6× 64 0.4× 48 0.3× 107 1.5× 50 402
Xingyuan Dai China 14 205 0.9× 106 0.6× 136 0.8× 223 1.4× 43 0.6× 49 588
B. Browning United States 11 102 0.4× 204 1.1× 92 0.5× 67 0.4× 98 1.4× 15 524
Franck Gechter France 16 317 1.3× 70 0.4× 83 0.5× 54 0.3× 70 1.0× 65 601
Yunwen Xu China 10 134 0.6× 59 0.3× 38 0.2× 114 0.7× 23 0.3× 46 366
Abdelkader El Kamel France 12 298 1.3× 47 0.3× 100 0.6× 95 0.6× 28 0.4× 32 468
Shinichi Shiraishi United States 12 232 1.0× 98 0.5× 49 0.3× 56 0.4× 108 1.5× 57 610
Gabriel Rodrigues de Campos Sweden 13 455 1.9× 51 0.3× 142 0.8× 63 0.4× 52 0.7× 28 707
Shengyin Shen United States 9 199 0.8× 104 0.6× 51 0.3× 108 0.7× 20 0.3× 13 497
Wenwei Yue China 12 134 0.6× 50 0.3× 104 0.6× 139 0.9× 126 1.8× 51 408

Countries citing papers authored by Gregory J. Barlow

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Barlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Barlow. 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 Gregory J. Barlow. The network helps show where Gregory J. Barlow may publish in the future.

Co-authorship network of co-authors of Gregory J. Barlow

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Barlow. A scholar is included among the top collaborators of Gregory J. Barlow 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 Gregory J. Barlow. Gregory J. Barlow 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.
Jackson, Jay W., et al.. (2024). Addressing Data Latency in GTFS (General Transit Feed Specification) Realtime to Improve Transit Signal Priority. Transportation Research Record Journal of the Transportation Research Board. 2679(1). 1329–1341. 2 indexed citations
2.
Smith, Stephen F., et al.. (2018). SURTRAC: Scalable Urban Traffic Control. Figshare. 18 indexed citations
3.
Rudová, Hana, et al.. (2017). Analysis of Trends in Data on Transit Bus Dwell Times. Transportation Research Record Journal of the Transportation Research Board. 2619(1). 64–74. 8 indexed citations
4.
Rudová, Hana, et al.. (2017). Analysis of Trends in Transit Bus Dwell Time Data. 2619. 1 indexed citations
5.
Xie, Xiaofeng, Stephen F. Smith, Gregory J. Barlow, & Ting-Wei Chen. (2014). Coping with Real-World Challenges in Real-Time Urban Traffic Control. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
6.
Smith, Stephen F., et al.. (2013). Smart Urban Signal Networks: Initial Application of the SURTRAC Adaptive Traffic Signal Control System. Proceedings of the International Conference on Automated Planning and Scheduling. 23. 434–442. 39 indexed citations
7.
Xie, Xiaofeng, Stephen F. Smith, & Gregory J. Barlow. (2012). Coordinated look-ahead scheduling for real-time traffic signal control. Adaptive Agents and Multi-Agents Systems. 1271–1272. 2 indexed citations
8.
Xie, Xiaofeng, Stephen F. Smith, Liang Lu, & Gregory J. Barlow. (2012). Schedule-driven intersection control. Transportation Research Part C Emerging Technologies. 24. 168–189. 91 indexed citations
9.
Xie, Xiaofeng, Stephen Smith, & Gregory J. Barlow. (2012). Schedule-Driven Coordination for Real-Time Traffic Network Control. Proceedings of the International Conference on Automated Planning and Scheduling. 22. 323–331. 50 indexed citations
10.
Smith, Stephen F. & Gregory J. Barlow. (2011). Improving memory for optimization and learning in dynamic environments. 5 indexed citations
11.
Xie, Xiaofeng, et al.. (2011). Platoon-based self-scheduling for real-time traffic signal control. Figshare. 879–884. 27 indexed citations
12.
Barlow, Gregory J. & Stephen F. Smith. (2009). Using memory models to improve adaptive efficiency in dynamic problems. 3907. 7–14. 5 indexed citations
13.
Nelson, Andrew, Gregory J. Barlow, & Lefteris Doitsidis. (2008). Fitness functions in evolutionary robotics: A survey and analysis. Robotics and Autonomous Systems. 57(4). 345–370. 169 indexed citations
14.
Barlow, Gregory J., et al.. (2008). Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication. 177–184. 8 indexed citations
15.
Barlow, Gregory J., Leonardo S. Mattos, Edward Grant, & Chamteut Oh. (2006). Transference of Evolved Unmanned Aerial Vehicle Controllers to a Wheeled Mobile Robot. 2087–2092. 2 indexed citations
16.
Barlow, Gregory J., et al.. (2006). Robustness analysis of genetic programming controllers for unmanned aerial vehicles. 135–142. 5 indexed citations
17.
Barlow, Gregory J., Chamteut Oh, & Edward Grant. (2005). Incremental evolution of autonomous controllers for unmanned aerial vehicles using multi-objective genetic programming. 2. 689–694. 33 indexed citations
18.
Oh, Chamteut & Gregory J. Barlow. (2005). Autonomous controller design for unmanned aerial vehicles using multi-objective genetic programming. 1538–1545. 13 indexed citations
19.
Nelson, Andrew, Edward Grant, Gregory J. Barlow, & Thomas C. Henderson. (2004). A colony of robots using vision sensing and evolved neural controllers. 3. 2273–2278. 7 indexed citations
20.
Barlow, Gregory J., Thomas C. Henderson, Andrew Nelson, & Edward Grant. (2004). Dynamic leadership protocol for S-nets. 1091–1096 Vol.2. 6 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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