Ryan McGee

1.1k total citations
37 papers, 869 citations indexed

About

Ryan McGee is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Ryan McGee has authored 37 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Automotive Engineering, 16 papers in Electrical and Electronic Engineering and 14 papers in Control and Systems Engineering. Recurrent topics in Ryan McGee's work include Electric and Hybrid Vehicle Technologies (24 papers), Electric Vehicles and Infrastructure (15 papers) and Advanced Battery Technologies Research (12 papers). Ryan McGee is often cited by papers focused on Electric and Hybrid Vehicle Technologies (24 papers), Electric Vehicles and Infrastructure (15 papers) and Advanced Battery Technologies Research (12 papers). Ryan McGee collaborates with scholars based in United States, France and Sweden. Ryan McGee's co-authors include Ming Kuang, Hai Yu, Daniel F. Opila, Jessy W. Grizzle, J.A. Cook, Xiaoyong Wang, Yi Lu Murphey, R. Brent Gillespie, Jungme Park and Xiaoyong Wang and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Control Systems Technology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Ryan McGee

35 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan McGee United States 15 727 477 216 132 86 37 869
John Michelini United States 13 545 0.7× 252 0.5× 310 1.4× 78 0.6× 103 1.2× 26 680
Jungme Park United States 10 513 0.7× 401 0.8× 154 0.7× 152 1.2× 85 1.0× 15 682
Engin Özatay United States 9 469 0.6× 201 0.4× 252 1.2× 53 0.4× 92 1.1× 11 521
Harald Waschl Austria 14 470 0.6× 145 0.3× 420 1.9× 51 0.4× 68 0.8× 47 695
Guodong Du China 16 880 1.2× 730 1.5× 199 0.9× 22 0.2× 17 0.2× 28 1.1k
Chaozhe R. He United States 12 343 0.5× 124 0.3× 409 1.9× 71 0.5× 102 1.2× 24 493
Roman Schmied Austria 9 401 0.6× 128 0.3× 355 1.6× 57 0.4× 78 0.9× 20 497
Heeyun Lee South Korea 13 485 0.7× 437 0.9× 157 0.7× 49 0.4× 49 0.6× 30 626
Haoxuan Dong China 15 507 0.7× 165 0.3× 355 1.6× 57 0.4× 88 1.0× 34 658
Luis Leon Ojeda France 6 397 0.5× 175 0.4× 300 1.4× 100 0.8× 147 1.7× 7 529

Countries citing papers authored by Ryan McGee

Since Specialization
Citations

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

Fields of papers citing papers by Ryan McGee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan McGee

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan McGee. A scholar is included among the top collaborators of Ryan McGee 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 Ryan McGee. Ryan McGee 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.
McGee, Ryan, et al.. (2015). Adaptive Fuzzy Prediction for Automotive Applications Usage. 6. 19–24. 4 indexed citations
2.
Park, Jungme, et al.. (2014). Intelligent Trip Modeling for the Prediction of an Origin–Destination Traveling Speed Profile. IEEE Transactions on Intelligent Transportation Systems. 15(3). 1039–1053. 51 indexed citations
3.
McGee, Ryan, et al.. (2014). Optimizing a Start-Stop Controller Using Policy Search. Proceedings of the AAAI Conference on Artificial Intelligence. 28(2). 2984–2989. 1 indexed citations
4.
Wang, Xiaoyong, Ryan McGee, & Ming Kuang. (2013). Vehicle System Control for Start-Stop Powertrains with Automatic Transmissions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 10 indexed citations
5.
McGee, Ryan, et al.. (2013). Regenerative Braking Control Enhancement for the Power Split Hybrid Architecture with the Utilization of Hardware-in-the-loop Simulations. SAE International journal of alternative powertrains. 2(1). 127–134. 4 indexed citations
6.
McGee, Ryan, Hai Yu, Fazal Syed, et al.. (2012). GreenZone Driving for Plug In Hybrid Electric Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
7.
Liu, Ruoqian, Jungme Park, Yi Lu Murphey, et al.. (2011). Real time vehicle speed predition using gas-kinetic traffic modeling. 31. 80–86. 8 indexed citations
8.
Park, Jungme, Li Dai, Yi Lu Murphey, et al.. (2011). Real time vehicle speed prediction using a Neural Network Traffic Model. 2991–2996. 110 indexed citations
9.
Filev, Dimitar, et al.. (2011). Contextual on-board learning and prediction of vehicle destinations. 87–91. 10 indexed citations
10.
Wang, Qing, Wei Liang, Ming Kuang, & Ryan McGee. (2011). Vehicle System Controls for a Series Hybrid Powertrain. SAE technical papers on CD-ROM/SAE technical paper series. 9 indexed citations
11.
Opila, Daniel F., Xiaoyong Wang, Ryan McGee, et al.. (2011). An Energy Management Controller to Optimally Trade Off Fuel Economy and Drivability for Hybrid Vehicles. IEEE Transactions on Control Systems Technology. 20(6). 1490–1505. 146 indexed citations
12.
Tulpule, Punit, Vincenzo Marano, Giorgio Rizzoni, Ryan McGee, & Hai Yu. (2011). A Statistical Approach to Assess the Impact of Road Events on PHEV Performance using Real World Data. SAE technical papers on CD-ROM/SAE technical paper series. 15 indexed citations
13.
Syed, Fazal, et al.. (2010). Design and Analysis of an Adaptive Real-Time Advisory System for Improving Real World Fuel Economy in a Hybrid Electric Vehicle. SAE technical papers on CD-ROM/SAE technical paper series. 1. 15 indexed citations
14.
Liang, Wei, et al.. (2009). Vehicle Pure Yaw Moment control using differential tire slip. 25. 3331–3336. 24 indexed citations
15.
Yu, Hai, Wei Liang, Ming Kuang, & Ryan McGee. (2009). Vehicle handling assistant control system via independent rear axle torque biasing. 695–700. 12 indexed citations
16.
Opila, Daniel F., Xiaoyong Wang, Ryan McGee, J.A. Cook, & Jessy W. Grizzle. (2009). Fundamental Structural Limitations of an Industrial Energy Management Controller Architecture for Hybrid Vehicles. 213–221. 10 indexed citations
17.
Opila, Daniel F., Xiaoyong Wang, Ryan McGee, J.A. Cook, & Jessy W. Grizzle. (2009). Performance comparison of hybrid vehicle energy management controllers on real-world drive cycle data. 4618–4625. 27 indexed citations
18.
Opila, Daniel F., et al.. (2008). Incorporating drivability metrics into optimal energy management strategies for Hybrid Vehicles. 4382–4389. 44 indexed citations
19.
Ramaswamy, D., et al.. (2004). A Case Study in Hardware-In-the-Loop Testing: Development of an ECU for a Hybrid Electric Vehicle. SAE technical papers on CD-ROM/SAE technical paper series. 1. 46 indexed citations
20.
McGee, Ryan. (2003). Model Based Control System Design and Verification for a Hybrid Electric Vehicle. SAE technical papers on CD-ROM/SAE technical paper series. 1. 22 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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