Mathijs de Haas

981 total citations · 1 hit paper
15 papers, 737 citations indexed

About

Mathijs de Haas is a scholar working on Transportation, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Mathijs de Haas has authored 15 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Transportation, 5 papers in Economics and Econometrics and 2 papers in Sociology and Political Science. Recurrent topics in Mathijs de Haas's work include Urban Transport and Accessibility (15 papers), Transportation Planning and Optimization (11 papers) and Economic and Environmental Valuation (5 papers). Mathijs de Haas is often cited by papers focused on Urban Transport and Accessibility (15 papers), Transportation Planning and Optimization (11 papers) and Economic and Environmental Valuation (5 papers). Mathijs de Haas collaborates with scholars based in Netherlands, Australia and Germany. Mathijs de Haas's co-authors include Roel Faber, Marije Hamersma, Maarten Kroesen, Sascha Hoogendoorn-Lanser, Serge Hoogendoorn, Caspar Chorus, Alexa Delbosc, Laura McCarthy, Christoph Scheepers and Eric Molin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Transportation Research Part A Policy and Practice and Transportation.

In The Last Decade

Mathijs de Haas

14 papers receiving 708 citations

Hit Papers

How COVID-19 and the Dutch ‘intelligent lockdown’ change ... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathijs de Haas Netherlands 8 468 164 137 93 90 15 737
Marije Hamersma Netherlands 8 405 0.9× 161 1.0× 152 1.1× 98 1.1× 72 0.8× 19 738
Roel Faber Netherlands 9 360 0.8× 161 1.0× 130 0.9× 91 1.0× 54 0.6× 13 798
Péter Bucsky Hungary 6 310 0.7× 120 0.7× 91 0.7× 87 0.9× 69 0.8× 12 470
Eneko Echániz Spain 7 328 0.7× 166 1.0× 128 0.9× 134 1.4× 49 0.5× 9 551
João Filipe Teixeira Portugal 13 561 1.2× 98 0.6× 72 0.5× 76 0.8× 186 2.1× 16 677
Mahmudur Rahman Fatmi Canada 15 468 1.0× 67 0.4× 118 0.9× 79 0.8× 168 1.9× 68 685
Deepti Muley Qatar 12 576 1.2× 201 1.2× 156 1.1× 117 1.3× 102 1.1× 42 1.0k
Edward Wei Australia 11 339 0.7× 91 0.6× 164 1.2× 66 0.7× 148 1.6× 26 735
Andrés Rodríguez Spain 7 305 0.7× 166 1.0× 121 0.9× 135 1.5× 58 0.6× 22 553
Christine Eisenmann Germany 10 303 0.6× 83 0.5× 61 0.4× 68 0.7× 120 1.3× 28 482

Countries citing papers authored by Mathijs de Haas

Since Specialization
Citations

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

Fields of papers citing papers by Mathijs de Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathijs de Haas. 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 Mathijs de Haas. The network helps show where Mathijs de Haas may publish in the future.

Co-authorship network of co-authors of Mathijs de Haas

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

All Works

15 of 15 papers shown
1.
Faber, Roel, Mathijs de Haas, Eric Molin, & Maarten Kroesen. (2024). Investigating changes in within-person effects between attitudes and travel behaviour during the COVID-19 pandemic. Transportation Research Part A Policy and Practice. 185. 104127–104127. 2 indexed citations
2.
Haas, Mathijs de, et al.. (2024). Assessing the E-bike trends and impact on sustainable mobility: A national-level study in the Netherlands. SHILAP Revista de lepidopterología. 2. 100027–100027. 7 indexed citations
3.
Haas, Mathijs de, et al.. (2024). State-of-the-art of Longitudinal Travel Surveys – A Comparison of the MOP and MPN. Transportation research procedia. 76. 196–207.
4.
Haas, Mathijs de, Maarten Kroesen, Caspar Chorus, Sascha Hoogendoorn-Lanser, & Serge Hoogendoorn. (2023). Didn’t travel or just being lazy? An empirical study of soft-refusal in mobility diaries. Transportation. 52(3). 955–981. 6 indexed citations
5.
Faber, Roel, et al.. (2023). Estimating post-pandemic effects of working from home and teleconferencing on travel behaviour. European journal of transport and infrastructure research. 23(1). 5 indexed citations
6.
Faber, Roel, et al.. (2022). Inferring modality styles by revealing mode choice heterogeneity in response to weather conditions. Transportation Research Part A Policy and Practice. 162. 282–295. 10 indexed citations
7.
McCarthy, Laura, Alexa Delbosc, Maarten Kroesen, & Mathijs de Haas. (2021). Travel attitudes or behaviours: Which one changes when they conflict?. Transportation. 50(1). 25–42. 29 indexed citations
8.
Haas, Mathijs de, Maarten Kroesen, Caspar Chorus, Sascha Hoogendoorn-Lanser, & Serge Hoogendoorn. (2021). E-bike user groups and substitution effects: evidence from longitudinal travel data in the Netherlands. Transportation. 49(3). 815–840. 62 indexed citations
9.
Haas, Mathijs de, Maarten Kroesen, Caspar Chorus, Sascha Hoogendoorn-Lanser, & Serge Hoogendoorn. (2021). Causal relations between body-mass index, self-rated health and active travel: An empirical study based on longitudinal data. Journal of Transport & Health. 22. 101113–101113. 15 indexed citations
10.
Haas, Mathijs de, Roel Faber, & Marije Hamersma. (2020). How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands. Transportation Research Interdisciplinary Perspectives. 6. 100150–100150. 571 indexed citations breakdown →
11.
Delbosc, Alexa, Maarten Kroesen, Bert van Wee, & Mathijs de Haas. (2019). Linear, non-linear, bi-directional? Testing the nature of the relationship between mobility and satisfaction with life. Transportation. 47(4). 2049–2066. 8 indexed citations
12.
Hoogendoorn, Raymond, et al.. (2018). Using inverted relative entropy to determine the representativeness of samples in mobility panels. Transportation research procedia. 32. 253–259. 3 indexed citations
13.
Haas, Mathijs de, Raymond Hoogendoorn, Christoph Scheepers, & Sascha Hoogendoorn-Lanser. (2018). Travel mode choice modeling from cross-sectional survey and panel data: the inclusion of initial nonresponse. Transportation research procedia. 32. 268–278. 5 indexed citations
14.
Haas, Mathijs de, Christoph Scheepers, Lucas Harms, & Maarten Kroesen. (2017). Travel pattern transitions: Applying latent transition analysis within the mobility biographies framework. Transportation Research Part A Policy and Practice. 107. 140–151. 13 indexed citations
15.
Haas, Mathijs de. (2016). Travel pattern transitions: A study on the effects of life events on changes in travel patterns. 1 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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