Georg Schildbach

2.7k total citations · 1 hit paper
47 papers, 1.9k citations indexed

About

Georg Schildbach is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Georg Schildbach has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 21 papers in Automotive Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Georg Schildbach's work include Advanced Control Systems Optimization (22 papers), Autonomous Vehicle Technology and Safety (15 papers) and Vehicle Dynamics and Control Systems (11 papers). Georg Schildbach is often cited by papers focused on Advanced Control Systems Optimization (22 papers), Autonomous Vehicle Technology and Safety (15 papers) and Vehicle Dynamics and Control Systems (11 papers). Georg Schildbach collaborates with scholars based in Germany, Switzerland and United States. Georg Schildbach's co-authors include Francesco Borrelli, Manfred Morari, Jason Kong, Mark G. Pfeiffer, Lorenzo Fagiano, Julius Pfrommer, Joseph Warrington, Ashwin Carvalho, Christoph Frei and Stéphanie Lefèvre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and European Journal of Operational Research.

In The Last Decade

Georg Schildbach

40 papers receiving 1.8k citations

Hit Papers

Kinematic and dynamic vehicle models for autonomous drivi... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Schildbach Germany 17 1.1k 1.0k 368 260 234 47 1.9k
Jonas Mårtensson Sweden 22 1.5k 1.3× 987 1.0× 157 0.4× 419 1.6× 458 2.0× 116 2.0k
Swaroop Darbha United States 21 872 0.8× 372 0.4× 328 0.9× 225 0.9× 223 1.0× 145 1.6k
Ljubo Vlacic Australia 21 789 0.7× 573 0.6× 236 0.6× 351 1.4× 82 0.4× 94 1.6k
Keith Redmill United States 22 807 0.7× 1.0k 1.0× 565 1.5× 347 1.3× 159 0.7× 89 1.8k
Yougang Bian China 20 1.6k 1.5× 1.1k 1.1× 112 0.3× 550 2.1× 488 2.1× 102 2.1k
Kurt Dresner United States 9 1.3k 1.2× 949 0.9× 156 0.4× 270 1.0× 778 3.3× 17 1.7k
Robert Hilbrich Germany 6 1.1k 1.0× 909 0.9× 114 0.3× 700 2.7× 527 2.3× 11 2.1k
Andreas A. Malikopoulos United States 24 2.1k 1.9× 2.1k 2.1× 128 0.3× 817 3.1× 830 3.5× 110 2.9k
Cristofer Englund Sweden 19 748 0.7× 720 0.7× 190 0.5× 366 1.4× 275 1.2× 66 1.4k

Countries citing papers authored by Georg Schildbach

Since Specialization
Citations

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

Fields of papers citing papers by Georg Schildbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Schildbach

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Schildbach. A scholar is included among the top collaborators of Georg Schildbach 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 Georg Schildbach. Georg Schildbach 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.
Schildbach, Georg, et al.. (2025). MOBIL-based traffic prediction and interaction-aware Model Predictive Control for autonomous highway driving. Control Engineering Practice. 164. 106434–106434.
2.
Schildbach, Georg & Mirko Conrad. (2025). Analysis of functional insufficiencies and triggering conditions to improve the SOTIF of an MPC-based trajectory planner. Control Engineering Practice. 164. 106461–106461.
3.
Schildbach, Georg, et al.. (2024). LiDAR‐based automated UAV inspection of wind turbine rotor blades. Journal of Field Robotics. 41(4). 1116–1132. 6 indexed citations
4.
Abbas, Hossam S., et al.. (2024). Safe Control Architecture via Model Predictive Control. IEEE Transactions on Control Systems Technology. 33(4). 1207–1220.
5.
Zhang, Xiaorong, et al.. (2024). Interaction-Aware Traffic Prediction and Scenario-Based Model Predictive Control for Autonomous Vehicles on Highways. IEEE Transactions on Control Systems Technology. 33(4). 1235–1245. 1 indexed citations
8.
Schildbach, Georg, et al.. (2023). Navigation with Polytopes: A Toolbox for Optimal Path Planning with Polytope Maps and B-spline Curves. Sensors. 23(7). 3532–3532. 5 indexed citations
9.
Bakr, Mohamed H., et al.. (2022). Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics. Applied Sciences. 12(6). 3153–3153. 16 indexed citations
10.
Patel, Hiren, et al.. (2022). Deep Drifting: Autonomous Drifting of Arbitrary Trajectories using Deep Reinforcement Learning. 2022 International Conference on Robotics and Automation (ICRA). 7753–7759. 8 indexed citations
11.
Schildbach, Georg, et al.. (2022). ROS2SWARM - A ROS 2 Package for Swarm Robot Behaviors. 2022 International Conference on Robotics and Automation (ICRA). 6875–6881. 10 indexed citations
12.
Hamann, Heiko, et al.. (2021). B-spline path planner for safe navigation of mobile robots. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 339–345. 17 indexed citations
13.
Abbas, Hossam S., et al.. (2021). A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving. 2021 European Control Conference (ECC). 1297–1302. 3 indexed citations
14.
Schildbach, Georg. (2018). On the Application of ISO 26262 in Control Design for Automated Vehicles. SHILAP Revista de lepidopterología. 269. 74–82. 4 indexed citations
15.
Schildbach, Georg, et al.. (2017). Scenario Model Predictive Control for Lane Change Assistance and Autonomous Driving on Highways. IEEE Intelligent Transportation Systems Magazine. 9(3). 23–35. 103 indexed citations
16.
Schildbach, Georg, et al.. (2016). A collision avoidance system at intersections using Robust Model Predictive Control. 32 indexed citations
17.
Kong, Jason, Mark G. Pfeiffer, Georg Schildbach, & Francesco Borrelli. (2015). Kinematic and dynamic vehicle models for autonomous driving control design. 1094–1099. 496 indexed citations breakdown →
18.
Schildbach, Georg & Francesco Borrelli. (2015). Scenario model predictive control for lane change assistance on highways. 611–616. 80 indexed citations
19.
Pfrommer, Julius, Joseph Warrington, Georg Schildbach, & Manfred Morari. (2014). Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems. IEEE Transactions on Intelligent Transportation Systems. 15(4). 1567–1578. 259 indexed citations
20.
Zhang, Boming, Georg Schildbach, David Sturzenegger, & Manfred Morari. (2013). Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty. 1029–1034. 81 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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