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.
Environmental correlates of physical activity in youth – a review and update
2006738 citationsIsabel Ferreira, Klazine van der Horst et al.Obesity Reviewsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of S. Kremers'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 S. Kremers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kremers more than expected).
This network shows the impact of papers produced by S. Kremers. 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 S. Kremers. The network helps show where S. Kremers may publish in the future.
Co-authorship network of co-authors of S. Kremers
This figure shows the co-authorship network connecting the top 25 collaborators of S. Kremers.
A scholar is included among the top collaborators of S. Kremers 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 S. Kremers. S. Kremers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
13 of 13 papers shown
1.
Vries, Henk de, Daniela N Schulz, Francine Schneider, et al.. (2014). Effectiveness and Cost-effectiveness of a Web-based Tailored Multiple Behavior Change Intervention. European Health Psychologist. 16. 439.2 indexed citations
Ferreira, Isabel, Klazine van der Horst, Wanda Wendel‐Vos, et al.. (2006). Environmental correlates of physical activity in youth – a review and update. Obesity Reviews. 8(2). 129–154.738 indexed citations breakdown →
Ferreira, Isabel, Klazine van der Horst, Wanda Wendel‐Vos, et al.. (2005). Potential environmental determinants of physical activity in youth. Queensland's institutional digital repository (The University of Queensland).11 indexed citations
9.
Bruijn, Gert‐Jan de, S. Kremers, Wanda Wendel‐Vos, Frank J. van Lenthe, & Johannes Brug. (2005). Environmental interventions on physical activity in youth. Rivm Repository (Netherlands National Institute for Public Health and the Environment). 78–106.1 indexed citations
10.
Giskes, Katrina, Carlijn B. M. Kamphuis, S. Kremers, et al.. (2005). Potential environmental determinants of selected dietary behaviours in adults. Rivm (National Institute for Public Health and the Environment). 240–280.2 indexed citations
11.
Kremers, S., Gert‐Jan de Bruijn, Mariël Droomers, Frank J. van Lenthe, & Johannes Brug. (2005). Environmental interventions for selected dietary behaviours in adults. Rivm (National Institute for Public Health and the Environment). 282–314.2 indexed citations
12.
Lenthe, Frank J. van, Martijn Huisman, Wanda Wendel‐Vos, S. Kremers, & Johannes Brug. (2005). Potential environmental determinants of smoking. Rivm (National Institute for Public Health and the Environment). 318–337.1 indexed citations
13.
Kremers, S., Aart N. Mudde, & H. de Vries. (2000). Measuring the effectiveness of ESFA: Towards best practices in smoking prevention research. Data Archiving and Networked Services (DANS).4 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.