Bernhard Friedrich

1.2k total citations
88 papers, 650 citations indexed

About

Bernhard Friedrich is a scholar working on Transportation, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Bernhard Friedrich has authored 88 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Transportation, 46 papers in Control and Systems Engineering and 45 papers in Building and Construction. Recurrent topics in Bernhard Friedrich's work include Traffic control and management (46 papers), Transportation Planning and Optimization (45 papers) and Traffic Prediction and Management Techniques (36 papers). Bernhard Friedrich is often cited by papers focused on Traffic control and management (46 papers), Transportation Planning and Optimization (45 papers) and Traffic Prediction and Management Techniques (36 papers). Bernhard Friedrich collaborates with scholars based in Germany, United States and India. Bernhard Friedrich's co-authors include Federica Pascucci, Fabian Schuldt, Markus Maurer, Robin Philipp, Falk Howar, Κωνσταντίνος Κεπαπτσόγλου, Eleni I. Vlahogianni, Markus Friedrich, Jakob Erdmann and Panagiotis G. Tzouras and has published in prestigious journals such as Sustainability, IEEE Transactions on Power Delivery and Accident Analysis & Prevention.

In The Last Decade

Bernhard Friedrich

77 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernhard Friedrich Germany 12 400 332 309 224 115 88 650
Zhanbo Sun China 11 478 1.2× 328 1.0× 355 1.1× 257 1.1× 100 0.9× 48 672
Ilsoo Yun South Korea 16 606 1.5× 447 1.3× 450 1.5× 273 1.2× 180 1.6× 113 856
Ingmar Andréasson Sweden 15 429 1.1× 495 1.5× 327 1.1× 411 1.8× 81 0.7× 48 784
Xiang Song China 13 205 0.5× 337 1.0× 298 1.0× 167 0.7× 53 0.5× 22 593
Fangfang Zheng China 16 629 1.6× 598 1.8× 514 1.7× 326 1.5× 103 0.9× 64 944
Lili Lu China 16 529 1.3× 455 1.4× 254 0.8× 294 1.3× 221 1.9× 41 889
Julien Monteil Ireland 16 581 1.5× 459 1.4× 269 0.9× 512 2.3× 95 0.8× 38 925
Marc Miska Australia 12 228 0.6× 259 0.8× 234 0.8× 92 0.4× 44 0.4× 55 488
Miles Churchill France 3 551 1.4× 315 0.9× 165 0.5× 419 1.9× 99 0.9× 3 682
Guizhen Yu China 7 269 0.7× 231 0.7× 189 0.6× 139 0.6× 54 0.5× 9 412

Countries citing papers authored by Bernhard Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Friedrich

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Friedrich. A scholar is included among the top collaborators of Bernhard Friedrich 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 Bernhard Friedrich. Bernhard Friedrich 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.
Friedrich, Bernhard, et al.. (2025). Moving beyond assumptions: stop times and key determinants for pick-ups and drop-offs in ridepooling systems. Transportmetrica A Transport Science. 1–20.
2.
Burmeister, Leon F., et al.. (2025). Optimizing Public Transit: A Critical Analysis of Increased Bus Frequency and its Effects on Traffic Dynamics. Transportation research procedia. 86. 282–289.
3.
Friedrich, Bernhard, et al.. (2024). Speed Data Reconstruction: Analyzing and Improving the Accuracy of MFD Estimation Using Loop Detector and Floating Car Data. Transportation research procedia. 78. 627–634.
4.
Zhou, Yang, et al.. (2024). Planning trajectories for connected and automated vehicle platoon on curved roads: A two-dimensional cooperative approach. Transportation Research Part C Emerging Technologies. 165. 104718–104718.
5.
Friedrich, Bernhard, et al.. (2024). Estimating traffic demand of different transportation modes using floating smartphone data. Transportmetrica A Transport Science. 1–27.
6.
Friedrich, Bernhard, et al.. (2024). Improving the Representation of Traffic States: A Novel Method for Link Selection of Urban Road Networks. 7(4). 266–278. 2 indexed citations
7.
Friedrich, Bernhard, et al.. (2024). Empirical Investigation of Dwell Times in Ridepooling Systems. Transportation research procedia. 78. 119–126. 2 indexed citations
8.
Tzouras, Panagiotis G., et al.. (2023). Can we all coexist? An empirical analysis of drivers' and pedestrians' behavior in four different shared space road environments. Cities. 141. 104477–104477. 12 indexed citations
9.
Friedrich, Bernhard, et al.. (2021). Using Floating Car Data in Route Choice Modelling - Field Study. Transportation research procedia. 52. 700–707. 3 indexed citations
10.
Friedrich, Bernhard, et al.. (2018). Should I Stay or Should I Go? A Discrete Choice Model for Pedestrian–Vehicle Conflicts in Shared Space. Transportation Research Board 97th Annual MeetingTransportation Research Board. 2 indexed citations
11.
Friedrich, Bernhard, et al.. (2014). Evaluation of a Signal State Prediction Algorithm for Car to Infrastructure Applications. Transportation research procedia. 3. 982–991. 10 indexed citations
12.
Friedrich, Bernhard, et al.. (2012). Improvement in traffic state estimation at signal controlled intersections by merging induction loop data with V2X data. 3–7.
13.
Lee, Ming‐Tsung & Bernhard Friedrich. (2010). Comparison of Univariate and Multivariate Time Series Models in Short-Term Freeway Traffic Flow Forecasting. Transportation Research Board 89th Annual MeetingTransportation Research Board. 1 indexed citations
14.
Boltze, Manfred, et al.. (2010). Anwendung und Analyse modellbasierter Netzsteuerungsverfahren in städtischen Straßennetzen. 1 indexed citations
15.
Friedrich, Bernhard, et al.. (2009). Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state. elib (German Aerospace Center). 2 indexed citations
16.
Friedrich, Bernhard, et al.. (2008). A Method for Tailback Approximation Via C2I-Data Based on Partial Penetration. 9 indexed citations
17.
Schmidt, Daniel, et al.. (2007). Data fusion techniques for traffic state estimation - DINO within Dmotion. 1 indexed citations
18.
Friedrich, Bernhard, et al.. (2005). Modellbasierte Optimierung der Versatzzeiten mit dem Cell Transmission Model / Online Offset Optimisation based on the Cell Transmission Model. 49(4). 1 indexed citations
19.
Friedrich, Bernhard, et al.. (2003). Using the motorway hard shoulder in congestion to allow drivers to exit. Traffic engineering & control. 44(7). 258–263. 1 indexed citations
20.
Hounsell, N.B., et al.. (1996). Public transport priority at traffic signals: Results of European collaborative study. ePrints Soton (University of Southampton). 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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