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.
Commuting and wellbeing: a critical overview of the literature with implications for policy and future research
2019263 citationsDick Ettema et al.Transport Reviewsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Dick Ettema'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 Dick Ettema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dick Ettema more than expected).
This network shows the impact of papers produced by Dick Ettema. 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 Dick Ettema. The network helps show where Dick Ettema may publish in the future.
Co-authorship network of co-authors of Dick Ettema
This figure shows the co-authorship network connecting the top 25 collaborators of Dick Ettema.
A scholar is included among the top collaborators of Dick Ettema 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 Dick Ettema. Dick Ettema is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Friman, Margareta, Tommy Gärling, Dick Ettema, & Lars E. Olsson. (2017). What Does Travel Do to Life Satisfaction and Emotional Well-Being?. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
13.
Nenonen, Suvi, et al.. (2012). Serviceability of urban areas definition and key elements.1 indexed citations
14.
Ben-Elia, Eran, Michel Bierlaire, & Dick Ettema. (2010). A behavioral departure time choice model with latent arrival time preference and rewards for peak-hour avoidance. UWE Research Repository (UWE Bristol).1 indexed citations
15.
Ettema, Dick & Mei‐Po Kwan. (2010). Whom to Hang Out with and Why: The Influence of Social Ties on Social and Recreational Activity Participation and Travel of Various Ethnic Groups in the Netherlands. Transportation Research Board 89th Annual MeetingTransportation Research Board.2 indexed citations
16.
Ben-Elia, Eran & Dick Ettema. (2010). Commuters’ Choice-Behavior with Rewards for Avoiding Peak-Hour Driving. UWE Research Repository (UWE Bristol).8 indexed citations
17.
Ettema, Dick, et al.. (2010). Spending Time on the Move: A Comparison Between Travel Modes. Transportation Research Board 89th Annual MeetingTransportation Research Board.9 indexed citations
18.
Ettema, Dick, Theo Arentze, & Harry Timmermans. (2009). Need-Based Activity Generation and Duration Model: Empirical Tests. Transportation Research Board 88th Annual MeetingTransportation Research Board.1 indexed citations
19.
Arentze, TA Theo, Dick Ettema, & Harry Timmermans. (2007). Micro-simulation of individual space-time behavior in urban environments: a new model and first experience. TU/e Research Portal (Eindhoven University of Technology).1 indexed citations
20.
Ettema, Dick. (2006). PUMA: Multiagent Modeling of Urban Systems. Transportation Research Board 85th Annual MeetingTransportation Research Board.
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.