Martin Trépanier

4.9k total citations · 1 hit paper
150 papers, 3.5k citations indexed

About

Martin Trépanier is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Martin Trépanier has authored 150 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Transportation, 53 papers in Automotive Engineering and 51 papers in Building and Construction. Recurrent topics in Martin Trépanier's work include Transportation Planning and Optimization (64 papers), Transportation and Mobility Innovations (48 papers) and Urban Transport and Accessibility (46 papers). Martin Trépanier is often cited by papers focused on Transportation Planning and Optimization (64 papers), Transportation and Mobility Innovations (48 papers) and Urban Transport and Accessibility (46 papers). Martin Trépanier collaborates with scholars based in Canada, France and China. Martin Trépanier's co-authors include Catherine Morency, Bruno Agard, Robert Chapleau, N. Tranchant, André Langevin, Zhanhong Cheng, Lijun Sun, Latifa Oukhellou, Étienne Côme and Marcela Munizaga and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Energy Conversion and Management and Sensors.

In The Last Decade

Martin Trépanier

138 papers receiving 3.3k citations

Hit Papers

Smart card data use in public transit: A literature review 2011 2026 2016 2021 2011 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Smart card data use in public transit: A literature review
    2011 644 citations Martin Trépanier, Catherine Morency et al. Transportation Research Part C Emerging Technologies profile →

Peers

Martin Trépanier
Jintao Ke Hong Kong
Shoufeng Ma China
S. C. Wirasinghe Canada
Otto Anker Nielsen Denmark
Joseph Y.J. Chow United States
Niels van Oort Netherlands
Feixiong Liao Netherlands
Shlomo Bekhor Israel
Hussein Dia Australia
Klaus Bogenberger Germany
Jintao Ke Hong Kong
Martin Trépanier
Citations per year, relative to Martin Trépanier Martin Trépanier (= 1×) peers Jintao Ke

Countries citing papers authored by Martin Trépanier

Since Specialization
Citations

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

Fields of papers citing papers by Martin Trépanier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Trépanier

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Trépanier. A scholar is included among the top collaborators of Martin Trépanier 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 Trépanier. Martin Trépanier 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.
Fricker, Christine, et al.. (2025). A new stochastic model for carsharing suited to free-floating. Transportation research procedia. 82. 2395–2409.
2.
Choi, Seongjin, et al.. (2025). Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting. Transportation Science. 59(4). 708–720. 1 indexed citations
3.
Trépanier, Martin, et al.. (2024). Persistent impact of COVID-19 pandemic on mobility behavior of paratransit users, montreal case study. Journal of Transport & Health. 35. 101777–101777.
4.
He, Ping, Jian Gang Jin, Martin Trépanier, & Frederik Schulte. (2024). A math-heuristic and exact algorithm for first-mile ridesharing problem with passenger service quality preferences. Transportation Research Part E Logistics and Transportation Review. 192. 103749–103749. 1 indexed citations
5.
Trépanier, Martin, et al.. (2024). Characterization of a Covid-fired urban bike delivery system: The Montreal experience. Research in Transportation Business & Management. 56. 101187–101187. 1 indexed citations
6.
7.
Schmöcker, Jan‐Dirk, et al.. (2024). Carsharing adoption dynamics considering service type and area expansions with insights from a Montreal case study. Transportation Research Part C Emerging Technologies. 167. 104810–104810. 2 indexed citations
8.
Morency, Catherine, et al.. (2023). Modeling interactions between the Montreal subway and other urban transportation modes at the station level. Tunnelling and Underground Space Technology. 136. 105079–105079. 7 indexed citations
9.
Morency, Catherine, et al.. (2019). Transit network design using a genetic algorithm with integrated road network and disaggregated O–D demand data. Transportation. 48(1). 95–130. 25 indexed citations
10.
Trépanier, Martin, et al.. (2018). Carsharing Service Adoption in a Dual-Mode Setting: A Station-Based and Free-Floating Case Study. PolyPublie (École Polytechnique de Montréal). 2 indexed citations
11.
Morency, Catherine, et al.. (2017). Longitudinal Analysis of Bikesharing Usage in Montreal, Canada. PolyPublie (École Polytechnique de Montréal). 1 indexed citations
12.
Morency, Catherine, et al.. (2017). A Methodology to Evaluate Supply Changes in Public Transit Networks Using GTFS Data. PolyPublie (École Polytechnique de Montréal). 1 indexed citations
13.
Trépanier, Martin, et al.. (2014). Addressing the Challenges of Planning Snow Plowing and Salt Spreading Routes in a Hybrid Rural and Urban Network. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
14.
Morency, Catherine, Martin Trépanier, & Bruno Agard. (2011). Typology of Carsharing Members. PolyPublie (École Polytechnique de Montréal). 20 indexed citations
15.
Morency, Catherine, et al.. (2010). Measuring, Describing and Modeling Travel Time Reliability. Transportation Research Board 89th Annual MeetingTransportation Research Board. 3 indexed citations
16.
Trépanier, Martin, et al.. (2009). Enhancing Household Travel Surveys Using Smart Card Data. PolyPublie (École Polytechnique de Montréal). 10 indexed citations
17.
Trépanier, Martin, Robert Chapleau, & Catherine Morency. (2008). Tools and Methods for a Transportation Household Survey. PolyPublie (École Polytechnique de Montréal). 20(1). 35. 6 indexed citations
18.
Morency, Catherine, Martin Trépanier, & Bruno Agard. (2007). Measuring Transit Performance using Smart Card Data. PolyPublie (École Polytechnique de Montréal). 9 indexed citations
19.
Marcellis-Warin, Nathalie de, et al.. (2006). Revue et analyse des bases de données canadiennes et américaines touchant les accidents durant le transport et le stockage des matières dangereuses. RePEc: Research Papers in Economics. 1 indexed citations
20.
Marcellis-Warin, Nathalie de, et al.. (2006). Revue des réglementations applicables au stockage et au transport des matières dangereuses au Québec. RePEc: Research Papers in Economics.

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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