Ulrich Weidmann

1.9k total citations
106 papers, 1.4k citations indexed

About

Ulrich Weidmann is a scholar working on Transportation, Industrial and Manufacturing Engineering and Building and Construction. According to data from OpenAlex, Ulrich Weidmann has authored 106 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Transportation, 43 papers in Industrial and Manufacturing Engineering and 26 papers in Building and Construction. Recurrent topics in Ulrich Weidmann's work include Transportation Planning and Optimization (40 papers), Railway Systems and Energy Efficiency (32 papers) and Urban and Freight Transport Logistics (19 papers). Ulrich Weidmann is often cited by papers focused on Transportation Planning and Optimization (40 papers), Railway Systems and Energy Efficiency (32 papers) and Urban and Freight Transport Logistics (19 papers). Ulrich Weidmann collaborates with scholars based in Switzerland, Italy and France. Ulrich Weidmann's co-authors include Andrew Nash, Michael Schreckenberg, Olga Fink, Enrico Zio, Marco Laumanns, Felix Laube, Zachary Patterson, G C De Jong, Jácint Szabó and Michael Balmer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Ulrich Weidmann

100 papers receiving 1.3k citations

Peers

Ulrich Weidmann

TRANS

CSE

SRRQ

IME

Min Zhou China

Yunchao Qu China

Xiaoxia Yang China

Hongfei Jia China

Zhenzhou Yuan China

ManWo Ng United States

Mingheng Zhang China

Gang Ren China

Ziqi Song United States

Zhirui Ye China

Min Zhou China

Ulrich Weidmann

408 ×0.7

TRANS

514 ×1.0

245 ×0.7

CSE

251 ×0.9

SRRQ

262 ×0.9

IME

Citations per year, relative to Ulrich Weidmann Ulrich Weidmann (= 1×) peers Min Zhou

Countries citing papers authored by Ulrich Weidmann

Since Specialization

Citations

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

Fields of papers citing papers by Ulrich Weidmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Weidmann

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Weidmann. A scholar is included among the top collaborators of Ulrich Weidmann 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 Ulrich Weidmann. Ulrich Weidmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sessa, Pier Giuseppe, et al.. (2020). A hybrid stochastic approach for offline train trajectory reconstruction. Public Transport. 13(3). 675–698. 2 indexed citations

Weidmann, Ulrich, et al.. (2018). Measuring Neighborhood Walkability Using Detour Factor Distributions. Journal of Urban Planning and Development. 144(2). 7 indexed citations

Weidmann, Ulrich, et al.. (2018). Networking planning with autonomous buses. Transportation Research Board 97th Annual MeetingTransportation Research Board. 18–900. 2 indexed citations

Weidmann, Ulrich, et al.. (2018). Creating a generic model of the pedestrian fundamental diagram. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

Weidmann, Ulrich, et al.. (2017). What’s a Bus? Defining Buses and Trains in the Age of Automation. Transportation Research Board 96th Annual MeetingTransportation Research Board. 17–1323. 1 indexed citations

Weidmann, Ulrich, et al.. (2017). Discussions of the reschedule process of passengers, train operators and infrastructure managers in railway disruptions. Transportation research procedia. 27. 538–544. 4 indexed citations

Weidmann, Ulrich, et al.. (2016). An Evaluation of Freight Train Energy Saving Potential Using Onboard Monitoring Data. Transportation Research Board 95th Annual MeetingTransportation Research Board. 16–2791. 1 indexed citations

Weidmann, Ulrich, et al.. (2016). Comparison of Well-to-Wheel Efficiencies for Different Drivetrain Configurations of Transit Buses. Transportation Research Record Journal of the Transportation Research Board. 2539(1). 55–64. 3 indexed citations

Fink, Olga, Enrico Zio, & Ulrich Weidmann. (2015). Development and application of deep belief networks for predicting railway operations disruptions. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 4 indexed citations

10.

Saeednia, Mahnam, et al.. (2015). Strategies for Increasing the Energy Efficiency of Rail Freight Service in Switzerland. Transportation Research Board 94th Annual MeetingTransportation Research Board. 15–1774. 1 indexed citations

11.

Weidmann, Ulrich, et al.. (2013). Level-of-service Based Evaluation of Freight Networks. 1 indexed citations

12.

Fink, Olga, Enrico Zio, & Ulrich Weidmann. (2013). Predicting time series of railway speed restrictions with time-dependent machine learning techniques. Expert Systems with Applications. 40(15). 6033–6040. 13 indexed citations

13.

Laumanns, Marco, et al.. (2013). Hierarchical Decomposition Methods for Periodic Railway Timetabling Problems. Transportation Research Record Journal of the Transportation Research Board. 2374(1). 73–82. 5 indexed citations

14.

Fink, Olga & Ulrich Weidmann. (2013). Using Deep Belief Networks for Predicting Railway Operations Failures. 1 indexed citations

15.

Fink, Olga, Enrico Zio, & Ulrich Weidmann. (2013). Predicting component reliability and level of degradation with complex-valued neural networks. Reliability Engineering & System Safety. 121. 198–206. 94 indexed citations

16.

Weidmann, Ulrich, et al.. (2012). Nachhaltige Güterfeinverteilung - Ein systemischer Ansatz. Internationales Verkehrswesen. 64(2). 1 indexed citations

17.

Moll, Stephan, Ulrich Weidmann, & Andrew Nash. (2012). Methodological Framework for Analyzing Ability of Freight Rail Customers to Forecast Short-Term Volumes Accurately. Transportation Research Record Journal of the Transportation Research Board. 2289(1). 126–133.

18.

Patterson, Zachary, et al.. (2009). Shippers’ Willingness to Pay for Sustainable Freight Transport and its Implications on European Freight Transport Policy. 5 indexed citations

19.

Laube, Felix, et al.. (2007). PULS 90 - ein systemumfassender Ansatz zur Leistungssteigerung von Eisenbahnnetzen. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 8 indexed citations

20.

Weidmann, Ulrich, et al.. (2007). Strategies for Increasing Intermodal Freight Transport Between Eastern and Western Europe. 9 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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