Kees Maat

6.7k total citations · 3 hit papers
61 papers, 5.1k citations indexed

About

Kees Maat is a scholar working on Transportation, Building and Construction and Economics and Econometrics. According to data from OpenAlex, Kees Maat has authored 61 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Transportation, 21 papers in Building and Construction and 12 papers in Economics and Econometrics. Recurrent topics in Kees Maat's work include Urban Transport and Accessibility (46 papers), Transportation Planning and Optimization (36 papers) and Urban and Freight Transport Logistics (19 papers). Kees Maat is often cited by papers focused on Urban Transport and Accessibility (46 papers), Transportation Planning and Optimization (36 papers) and Urban and Freight Transport Logistics (19 papers). Kees Maat collaborates with scholars based in Netherlands, Canada and United States. Kees Maat's co-authors include Bert van Wee, Eva Heinen, Sjoerd Bakker, William Sierzchula, Wendy Bohte, Karen Lucas, Bert van Wee, Dominic Stead, Yusak O. Susilo and Dena Kasraian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Kees Maat

59 papers receiving 4.8k citations

Hit Papers

The influence of financia... 2009 2026 2014 2020 2014 2009 2015 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kees Maat 3.4k 1.1k 1.1k 874 723 61 5.1k
Yusak O. Susilo 3.8k 1.1× 775 0.7× 1.6k 1.5× 707 0.8× 561 0.8× 219 5.3k
Jillian Anable 3.1k 0.9× 1.4k 1.3× 1.8k 1.6× 545 0.6× 1.3k 1.8× 141 6.3k
Ryuichi Kitamura 6.1k 1.8× 408 0.4× 2.2k 2.0× 1.2k 1.3× 519 0.7× 218 7.5k
Ram M. Pendyala 5.2k 1.5× 364 0.3× 2.2k 2.0× 1.4k 1.6× 412 0.6× 237 6.9k
Eric Molin 1.6k 0.5× 856 0.8× 1.2k 1.1× 581 0.7× 533 0.7× 143 4.7k
Thomas F. Golob 2.5k 0.7× 367 0.3× 987 0.9× 968 1.1× 555 0.8× 147 4.0k
Maarten Kroesen 1.7k 0.5× 464 0.4× 934 0.9× 259 0.3× 164 0.2× 100 3.6k
Jeffrey Kenworthy 4.2k 1.2× 159 0.1× 1.1k 1.0× 1.6k 1.8× 516 0.7× 131 6.5k
Greg Marsden 1.9k 0.6× 271 0.2× 1.1k 1.0× 715 0.8× 267 0.4× 134 3.7k
Zia Wadud 957 0.3× 678 0.6× 1.5k 1.4× 275 0.3× 615 0.9× 88 2.8k

Countries citing papers authored by Kees Maat

Since Specialization
Citations

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

Fields of papers citing papers by Kees Maat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kees Maat

This figure shows the co-authorship network connecting the top 25 collaborators of Kees Maat. A scholar is included among the top collaborators of Kees Maat 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 Kees Maat. Kees Maat 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.
Yan, Hong, Kees Maat, & Bert van Wee. (2024). Cycling speed variation: a multilevel model of characteristics of cyclists, trips and route tracking points. Transportation. 52(5). 1857–1886. 6 indexed citations
2.
Pel, Adam J., et al.. (2024). The role of the (e-)bike: a mode choice model for short distances. European journal of transport and infrastructure research. 24(4). 89–110. 1 indexed citations
3.
Kasraian, Dena, Kees Maat, & Bert van Wee. (2018). Urban developments and daily travel distances: Fixed, random and hybrid effects models using a Dutch pseudo-panel over three decades. Journal of Transport Geography. 72. 228–236. 11 indexed citations
4.
Maat, Kees, et al.. (2016). Causal effects of built environment characteristics on travel behaviour: a longitudinal approach. European journal of transport and infrastructure research. 45 indexed citations
5.
Lee, Aaron, et al.. (2015). Electric Bicycle Use and Mode Choice in the Netherlands. Transportation Research Record Journal of the Transportation Research Board. 2520(1). 1–7. 36 indexed citations
6.
Kasraian, Dena, Kees Maat, & Bert van Wee. (2015). Development of rail infrastructure and its impact on urbanization in the Randstad, the Netherlands. Journal of Transport and Land Use. 21 indexed citations
7.
Molin, Eric & Kees Maat. (2014). Bicycle parking preferences: costs versus walking time. Research Repository (Delft University of Technology). 2 indexed citations
8.
Heinen, Eva, Bert van Wee, & Kees Maat. (2009). Commuting by Bicycle: An Overview of the Literature. Transport Reviews. 30(1). 59–96. 903 indexed citations breakdown →
9.
Bohte, Wendy & Kees Maat. (2008). Deriving and Validating Trip Destinations and Modes for Multiday GPS-Based Travel Surveys: Application in the Netherlands. Transportation Research Board 87th Annual MeetingTransportation Research Board. 1–17. 16 indexed citations
10.
Maat, Kees & Harry Timmermans. (2007). Household Car Ownership in Relation to Residential and Work Location. Transportation Research Board 86th Annual MeetingTransportation Research Board. 8 indexed citations
11.
Susilo, Yusak O. & Kees Maat. (2007). The Influence of the Built Environment to the Trends in Commuting Journeys in the Netherlands. Research Repository (Delft University of Technology). 2 indexed citations
12.
Bohte, Wendy, Kees Maat, & Bert van Wee. (2007). Residential Self-Selection. The Effect of Travel-Related Attitudes and Lifestyle Orientation on Residential Location Choice; Evidence from the Netherlands. 11th World Conference on Transport ResearchWorld Conference on Transport Research Society. 4 indexed citations
13.
Susilo, Yusak O. & Kees Maat. (2007). The influence of built environment to the trends in commuting journeys in the Netherlands. Transportation. 34(5). 589–609. 131 indexed citations
14.
Maat, Kees, Harry Timmermans, & Eric Molin. (2004). A Model of Spatial Structure, Activity Participation and Travel Behavior. TU/e Research Portal. 2–14. 5 indexed citations
15.
Wee, Bert van & Kees Maat. (2003). Land-use and transport: A review and discussion of Dutch Research. European journal of transport and infrastructure research. 3(2). 17 indexed citations
16.
Wee, Bert van & Kees Maat. (2003). Land-Use and Transport. European journal of transport and infrastructure research. 1 indexed citations
17.
Arentze, Theo, Martin Dijst, Elenna Dugundji, et al.. (2001). THE AMADEUS PROGRAM: SCOPE AND CONCEPTUAL DEVELOPMENT. UvA-DARE (University of Amsterdam). 5 indexed citations
18.
Louw, Erik & Kees Maat. (1999). ENSCHEDE: MEASURES IN A PACKAGE. Built Environment. 25(2). 6 indexed citations
19.
Maat, Kees & Erik Louw. (1999). MIND THE GAP: PITFALLS OF TRAVEL REDUCTION MEASURES. Built Environment. 25(2). 9 indexed citations
20.
Maat, Kees & Johan Visser. (1996). A simulation model for urban freight transport. 55(6). 699–702. 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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