Martin Kagerbauer

771 total citations
70 papers, 474 citations indexed

About

Martin Kagerbauer is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Martin Kagerbauer has authored 70 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Transportation, 47 papers in Automotive Engineering and 17 papers in Building and Construction. Recurrent topics in Martin Kagerbauer's work include Transportation and Mobility Innovations (46 papers), Transportation Planning and Optimization (36 papers) and Urban Transport and Accessibility (26 papers). Martin Kagerbauer is often cited by papers focused on Transportation and Mobility Innovations (46 papers), Transportation Planning and Optimization (36 papers) and Urban Transport and Accessibility (26 papers). Martin Kagerbauer collaborates with scholars based in Germany, Austria and Denmark. Martin Kagerbauer's co-authors include Peter Vortisch, Nicolai Mallig, Michael Heilig, Bastian Chlond, Eva Fraedrich, Thomas Schuster, Dirk Zumkeller, Uwe Kunert, Till Gnann and Christian Reuter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.

In The Last Decade

Martin Kagerbauer

64 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Kagerbauer Germany 11 358 310 116 105 74 70 474
Florian Dandl Germany 11 318 0.9× 223 0.7× 109 0.9× 112 1.1× 53 0.7× 32 362
Andrzej Kubik Poland 12 226 0.6× 157 0.5× 62 0.5× 99 0.9× 71 1.0× 36 373
Gregory D. Erhardt United States 12 554 1.5× 650 2.1× 139 1.2× 168 1.6× 32 0.4× 39 787
Joe Castiglione United States 11 510 1.4× 663 2.1× 131 1.1× 154 1.5× 29 0.4× 20 790
Corey D. Harper United States 7 499 1.4× 348 1.1× 92 0.8× 84 0.8× 74 1.0× 25 623
Sebastian Hörl France 16 585 1.6× 546 1.8× 150 1.3× 124 1.2× 49 0.7× 51 736
Rita Cyganski Germany 12 354 1.0× 356 1.1× 70 0.6× 69 0.7× 38 0.5× 32 512
Krishna Murthy Gurumurthy United States 13 539 1.5× 383 1.2× 83 0.7× 184 1.8× 86 1.2× 34 609
Bhargava Sana United States 10 426 1.2× 530 1.7× 79 0.7× 150 1.4× 24 0.3× 21 662
Jake Whitehead Australia 12 278 0.8× 161 0.5× 54 0.5× 92 0.9× 150 2.0× 18 428

Countries citing papers authored by Martin Kagerbauer

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kagerbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kagerbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kagerbauer. A scholar is included among the top collaborators of Martin Kagerbauer 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 Martin Kagerbauer. Martin Kagerbauer 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
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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).
4.
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
5.
Gnann, Till, et al.. (2023). Enhancing electric vehicle market diffusion modeling: A German case study on environmental policy integration. Energy Strategy Reviews. 50. 101244–101244. 7 indexed citations
6.
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
7.
Hansen, Frank, et al.. (2023). Decoding Urban Archetypes: Exploring Mobility-Related Homogeneity among Cities. Sustainability. 15(19). 14231–14231.
8.
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
9.
Neuburger, Martin, et al.. (2021). Analysis and Prediction of Electromobility and Energy Supply by the Example of Stuttgart. World Electric Vehicle Journal. 12(2). 78–78. 4 indexed citations
10.
Heilig, Michael, et al.. (2021). Determining service provider and transport system related effects of ridesourcing services by simulation within the travel demand model mobiTopp. European Transport Research Review. 13(1). 11 indexed citations
11.
Heilig, Michael, et al.. (2021). Modeling intermodal travel behavior in an agent-based travel demand model. Procedia Computer Science. 184. 202–209. 4 indexed citations
12.
Fraedrich, Eva, et al.. (2020). Ridepooling als ÖPNV-Ergänzung - Der Moia-Nachtservice während der Corona-Pandemie. Internationales Verkehrswesen. 72(3). 84. 1 indexed citations
13.
Kagerbauer, Martin, et al.. (2020). Examining the Acceptance for Autonomous Transit Feeders Using a Hybrid Choice Model. 149–155. 3 indexed citations
14.
Heilig, Michael, et al.. (2017). Potentials of Autonomous Vehicles in a Changing Private Transportation System – a Case Study in the Stuttgart Region. Transportation research procedia. 26. 13–21. 52 indexed citations
15.
Kagerbauer, Martin, et al.. (2016). Stability and Flexibility in Commuting Behavior – Analyses of Mode Choice Patterns in Germany. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
16.
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
17.
Christensen, Linda, et al.. (2014). Improving comparability of survey results through ex-post harmonisation - A case study with twelve European national travel surveys. elib (German Aerospace Center). 2 indexed citations
18.
Chlond, Bastian, et al.. (2014). Deutsches Mobilitätspanel (MOP) - Wissenschaftliche Begleitung und Auswertungen Bericht 2012/2013: Alltagsmobilität und Fahrleistungen. Repository KITopen (Karlsruhe Institute of Technology). 2 indexed citations
19.
Kunert, Uwe, et al.. (2012). Auto-Mobilität: Fahrleistungen steigen 2011 weiter. Econstor (Econstor). 79(47). 3–14. 11 indexed citations
20.
Chlond, Bastian, et al.. (2012). Hinweise zu Panel- und Mehrtageserhebungen zum Mobilitätsverhalten Methoden und Anwendungen.

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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