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.
Sociotechnical transitions for deep decarbonization
This map shows the geographic impact of Tim Schwanen'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 Tim Schwanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Schwanen more than expected).
This network shows the impact of papers produced by Tim Schwanen. 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 Tim Schwanen. The network helps show where Tim Schwanen may publish in the future.
Co-authorship network of co-authors of Tim Schwanen
This figure shows the co-authorship network connecting the top 25 collaborators of Tim Schwanen.
A scholar is included among the top collaborators of Tim Schwanen 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 Tim Schwanen. Tim Schwanen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chatterjee, Kiron, Phil Goodwin, Tim Schwanen, et al.. (2018). Young people’s travel – What’s changed and why? Review and analysis. UWE Research Repository (UWE Bristol).24 indexed citations
Kwan, Mei‐Po & Tim Schwanen. (2016). Geographies of Mobility. Annals of the American Association of Geographers. 106(2). 243–256.86 indexed citations
13.
Pereira, Rafael H. M. & Tim Schwanen. (2013). Commute Time in Brazil (1992-2009): Differences Between Metropolitan Areas, by Income Levels and Gender. Econstor (Econstor).17 indexed citations
14.
Neutens, Tijs, et al.. (2008). The impact of opening hours on individual accessibility: a case study in the context of accessibility to registry offices. Ghent University Academic Bibliography (Ghent University).
15.
Tillema, Taede, Martin Dijst, & Tim Schwanen. (2008). ELECTRONIC COMMUNICATION IN SOCIAL NETWORKS AND IMPLICATIONS FOR TRAVEL. Transportation Research Board 87th Annual MeetingTransportation Research Board.4 indexed citations
16.
Tillema, Taede, Martin Dijst, & Tim Schwanen. (2007). Electronic and face-to-face communication in maintaining social relationships. Data Archiving and Networked Services (DANS).7 indexed citations
17.
Hubers, Christa, Tim Schwanen, & Martin Dijst. (2007). Exploring the Fragmentation of Activity Gold Mine: The Influence of ICT Use on Daily Activity Patterns. Transportation Research Board 86th Annual MeetingTransportation Research Board.1 indexed citations
18.
Schwanen, Tim. (2007). The "When" Dimension of Coupling Constraints. Transportation Research Board 86th Annual MeetingTransportation Research Board.2 indexed citations
19.
Ettema, Dick, Tim Schwanen, & Harry Timmermans. (2004). The effect of locational factors on task and time allocation in households. TU/e Research Portal (Eindhoven University of Technology).4 indexed citations
20.
Schwanen, Tim & Patricia L. Mokhtarian. (1998). Does Dissonance Between Desired and Current Residential Neighbourhood Type Affect Individual Travel Behaviour? An Empirical Assessment From the San Francisco Bay Area. eScholarship (California Digital Library).16 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.