Peter Vortisch

2.5k total citations
148 papers, 1.3k citations indexed

About

Peter Vortisch is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Peter Vortisch has authored 148 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Transportation, 74 papers in Automotive Engineering and 39 papers in Building and Construction. Recurrent topics in Peter Vortisch's work include Transportation Planning and Optimization (77 papers), Transportation and Mobility Innovations (61 papers) and Urban Transport and Accessibility (57 papers). Peter Vortisch is often cited by papers focused on Transportation Planning and Optimization (77 papers), Transportation and Mobility Innovations (61 papers) and Urban Transport and Accessibility (57 papers). Peter Vortisch collaborates with scholars based in Germany, Australia and United States. Peter Vortisch's co-authors include Martin Kagerbauer, Bastian Chlond, Nicolai Mallig, Martin Fellendorf, Michael Heilig, Carlos Sun, Tom V. Mathew, Christine Eisenmann, Fritz Busch and Marcel Hunecke and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Future Generation Computer Systems.

In The Last Decade

Peter Vortisch

132 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Vortisch Germany 18 843 631 404 347 180 148 1.3k
Lin Cheng China 19 1.0k 1.2× 547 0.9× 263 0.7× 316 0.9× 136 0.8× 133 1.3k
Joshua Auld United States 25 1.2k 1.5× 798 1.3× 214 0.5× 263 0.8× 103 0.6× 97 1.6k
Konstantinos Gkiotsalitis Netherlands 21 1.1k 1.3× 740 1.2× 274 0.7× 298 0.9× 150 0.8× 90 1.5k
Tomio Miwa Japan 20 869 1.0× 475 0.8× 280 0.7× 393 1.1× 101 0.6× 122 1.3k
Yuntao Guo China 17 598 0.7× 281 0.4× 188 0.5× 241 0.7× 277 1.5× 70 1.1k
Roberta Di Pace Italy 17 563 0.7× 408 0.6× 333 0.8× 236 0.7× 83 0.5× 56 858
Joonho Ko South Korea 20 672 0.8× 532 0.8× 109 0.3× 208 0.6× 332 1.8× 80 1.2k
Xinwu Qian United States 17 687 0.8× 617 1.0× 112 0.3× 203 0.6× 214 1.2× 51 1.1k
Marialisa Nigro Italy 19 874 1.0× 523 0.8× 241 0.6× 757 2.2× 105 0.6× 80 1.3k
Maaike Snelder Netherlands 15 530 0.6× 468 0.7× 303 0.8× 199 0.6× 49 0.3× 70 979

Countries citing papers authored by Peter Vortisch

Since Specialization
Citations

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

Fields of papers citing papers by Peter Vortisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Vortisch

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Vortisch. A scholar is included among the top collaborators of Peter Vortisch 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 Peter Vortisch. Peter Vortisch 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.
Baumann, Martin, et al.. (2024). A Vectorized Formulation of the Cell Transmission Model for Efficient Simulation of Large-Scale Freeway Networks. Procedia Computer Science. 238. 143–150.
2.
Vortisch, Peter, et al.. (2024). Incident detection on urban roads - A case study using synthetic floating car data. Procedia Computer Science. 238. 103–110.
3.
Vortisch, Peter, et al.. (2024). Determining Desired Speeds from Vehicle Trajectory Data. Transportation Research Record Journal of the Transportation Research Board. 2678(10). 1341–1352. 1 indexed citations
4.
5.
Kagerbauer, Martin, et al.. (2024). Exploring the determinants of autonomous minibus adoption: empirical findings from a demand-based service in Germany. European Transport Research Review. 16(1).
6.
Vortisch, Peter, et al.. (2024). Drivers and Barriers to Public Transport Usage: Insights from Psychographic Profiles Using Latent Class Analysis. Transportation Research Record Journal of the Transportation Research Board. 2678(10). 459–470. 2 indexed citations
7.
Heilig, Michael, et al.. (2023). Integrating Autonomous Busses as Door-to-Door and First-/Last-Mile Service into Public Transport: Findings from a Stated Choice Experiment. Transportation Research Record Journal of the Transportation Research Board. 2678(2). 605–619. 9 indexed citations
8.
Kagerbauer, Martin, et al.. (2023). Comparison of Discrete Choice and Machine Learning Models for Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models. Transportation Research Record Journal of the Transportation Research Board. 2678(7). 376–390. 4 indexed citations
9.
Kagerbauer, Martin, et al.. (2022). Representation of Work-Related Trip Patterns in Household and Commercial Travel Surveys. Transportation Research Record Journal of the Transportation Research Board. 2676(11). 59–73. 6 indexed citations
10.
Fricke, Hartmut, Regine Gerike, Stefan Oeter, et al.. (2019). Chancen der Digitalisierung für die deutschen Seehäfen nutzen und Investitionen in die Infrastrukturen optimieren. Internationales Verkehrswesen. 44. 1 indexed citations
11.
Vortisch, Peter, et al.. (2019). Simulation of Autonomous Vehicles Based on Wiedemann’s Car Following Model in PTV VISSIM. Repository KITopen (Karlsruhe Institute of Technology). 25 indexed citations
12.
Eisenmann, Christine, Michael Heilig, Nicolai Mallig, et al.. (2017). Assessing the effects of a growing electric vehicle fleet using a microscopic travel demand model. European journal of transport and infrastructure research. 1 indexed citations
13.
Vortisch, Peter. (2015). History of VISSIM’s Development. 1 indexed citations
14.
Heilig, Michael, et al.. (2015). Multiple-day Agent-based Modeling Approach of Station-based and Free-floating Carsharing. Repository KITopen (Karlsruhe Institute of Technology). 5 indexed citations
15.
Mullakkal-Babu, Freddy Antony, Peter Vortisch, & Tom V. Mathew. (2015). Modelling of motorcycle movements in mixed traffic conditions. Repository KITopen (Karlsruhe Institute of Technology). 9 indexed citations
16.
Brackstone, Mark, et al.. (2013). Guidelines for Micro Simulation Modelling; Calibration and Validation; An Examination of Gaps, Issues and Needs. Traffic engineering & control. 55(5). 1 indexed citations
17.
Vortisch, Peter, et al.. (2013). Methodology for the Calibration of VISSIM in Mixed Traffic. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 43 indexed citations
18.
Sun, Carlos, et al.. (2009). Integrated Microscopic and Macroscopic Calibration for Psychophysical Car-Following Models. Transportation Research Board 88th Annual MeetingTransportation Research Board. 12 indexed citations
19.
Vortisch, Peter. (2006). INTEGRATION OF FLOATING CAR DATA AND STATIONARY DETECTOR DATA IN THE TRAFFIC MANAGEMENT CENTER BERLIN. 1 indexed citations
20.
Vortisch, Peter, et al.. (2003). Bemessung von Radverkehrsanlagen unter verkehrstechnischen Gesichtspunkten. 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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