Bram Wouterse

935 total citations
35 papers, 453 citations indexed

About

Bram Wouterse is a scholar working on General Health Professions, Health and Economics and Econometrics. According to data from OpenAlex, Bram Wouterse has authored 35 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in General Health Professions, 17 papers in Health and 13 papers in Economics and Econometrics. Recurrent topics in Bram Wouterse's work include Global Health Care Issues (20 papers), Health disparities and outcomes (17 papers) and Geriatric Care and Nursing Homes (10 papers). Bram Wouterse is often cited by papers focused on Global Health Care Issues (20 papers), Health disparities and outcomes (17 papers) and Geriatric Care and Nursing Homes (10 papers). Bram Wouterse collaborates with scholars based in Netherlands, United States and Germany. Bram Wouterse's co-authors include Johan Polder, Claudine de Meijer, Marc Koopmanschap, Albert Wong, Pieter Bakx, Eddy van Doorslaer, Bert Meijboom, Pieter van Baal, Dorly J. H. Deeg and Martijn Huisman and has published in prestigious journals such as Social Science & Medicine, International Journal of Epidemiology and Journal of Epidemiology & Community Health.

In The Last Decade

Bram Wouterse

31 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bram Wouterse Netherlands 10 302 155 132 106 73 35 453
Claudine de Meijer Netherlands 7 424 1.4× 178 1.1× 157 1.2× 178 1.7× 195 2.7× 12 564
Pamela Nadash United States 13 316 1.0× 77 0.5× 99 0.8× 93 0.9× 148 2.0× 50 502
Harriet Komisar United States 8 394 1.3× 158 1.0× 111 0.8× 117 1.1× 150 2.1× 11 505
Seth Richards‐Shubik United States 11 184 0.6× 117 0.8× 90 0.7× 76 0.7× 30 0.4× 32 384
Lisa Alecxih United States 9 326 1.1× 154 1.0× 114 0.9× 118 1.1× 120 1.6× 13 529
Daniel Howdon United Kingdom 8 174 0.6× 120 0.8× 94 0.7× 44 0.4× 41 0.6× 18 357
Marta Pascual Sáez Spain 11 201 0.7× 166 1.1× 122 0.9× 57 0.5× 61 0.8× 61 409
Arun S. Hendi United States 10 372 1.2× 89 0.6× 330 2.5× 175 1.7× 68 0.9× 16 638
Marzena Tambor Poland 10 366 1.2× 164 1.1× 53 0.4× 67 0.6× 33 0.5× 35 531
Andreas Werblow Germany 9 467 1.5× 298 1.9× 139 1.1× 228 2.2× 23 0.3× 23 534

Countries citing papers authored by Bram Wouterse

Since Specialization
Citations

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

Fields of papers citing papers by Bram Wouterse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bram Wouterse

This figure shows the co-authorship network connecting the top 25 collaborators of Bram Wouterse. A scholar is included among the top collaborators of Bram Wouterse 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 Bram Wouterse. Bram Wouterse 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.
2.
Bakx, Pieter, et al.. (2025). Earnings losses in young‐onset dementia: Population‐based study with admin data. Alzheimer s & Dementia. 21(2). e14588–e14588.
3.
Bom, Judith, et al.. (2024). Variation in Excess Mortality Across Nursing Homes in the Netherlands During the COVID-19 Pandemic. Journal of the American Medical Directors Association. 25(9). 105116–105116.
4.
Kringos, Dionne, et al.. (2024). Performance Indicators for the Assessment of Aging-In-Place Reform Policies: A Scoping Review and Evidence Map. Journal of the American Medical Directors Association. 25(11). 105249–105249. 1 indexed citations
5.
6.
Wouterse, Bram, Pieter van Baal, Matthijs Versteegh, & Werner Brouwer. (2023). The Value of Health in a Cost-Effectiveness Analysis: Theory Versus Practice. PharmacoEconomics. 41(6). 607–617. 15 indexed citations
7.
Bakx, Pieter, et al.. (2023). Acute hospital use in older adults following the 2015 Dutch reform of long-term care: an interrupted time series analysis. The Lancet Healthy Longevity. 4(6). e257–e264. 5 indexed citations
8.
Wouterse, Bram, et al.. (2023). Disentangling the effect of household debt on consumption. Empirical Economics. 65(5). 2213–2239. 2 indexed citations
9.
Noordt, Maaike van der, T.G. van Tilburg, Suzan van der Pas, Bram Wouterse, & Dorly J. H. Deeg. (2023). Health trajectories across the work exit transition in the 1990s, 2000s, and 2010s: the role of working conditions and policy. Archives of Public Health. 81(1). 16–16. 1 indexed citations
10.
Wouterse, Bram, et al.. (2022). Do different shocks in health matter for wealth?. Journal of Health Economics. 87. 102719–102719. 6 indexed citations
11.
Wouterse, Bram, et al.. (2022). Quality-Adjusted Life-Years Lost Due to COVID-19 Mortality: Methods and Application for The Netherlands. Value in Health. 25(5). 731–735. 12 indexed citations
12.
Brouwer, Werner, et al.. (2021). Distributional consequences of including survivor costs in economic evaluations. Health Economics. 30(10). 2606–2613. 2 indexed citations
13.
Wouterse, Bram, et al.. (2021). Estimating the costs of non-medical consumption in life-years gained for economic evaluations. Social Science & Medicine. 289. 114414–114414. 5 indexed citations
14.
Wouterse, Bram, et al.. (2020). Long-term care use after a stroke or femoral fracture and the role of family caregivers. BMC Geriatrics. 20(1). 150–150. 8 indexed citations
15.
Bakx, Pieter, Bram Wouterse, Eddy van Doorslaer, & Albert Wong. (2020). Better off at home? Effects of nursing home eligibility on costs, hospitalizations and survival. Journal of Health Economics. 73. 102354–102354. 33 indexed citations
16.
Wouterse, Bram, Martijn Huisman, Bert Meijboom, Dorly J. H. Deeg, & Johan Polder. (2015). The effect of trends in health and longevity on health services use by older adults. BMC Health Services Research. 15(1). 574–574. 28 indexed citations
17.
Veer, Sabine N van der, Bram Wouterse, Wilco C. Graafmans, et al.. (2015). A multifaceted feedback strategy alone does not improve the adherence to organizational guideline-based standards: a cluster randomized trial in intensive care. Implementation Science. 10(1). 95–95. 8 indexed citations
18.
Wouterse, Bram, Martijn Huisman, Bert Meijboom, Dorly J. H. Deeg, & Johan Polder. (2012). Modeling the relationship between health and health care expenditures using a latent Markov model. Journal of Health Economics. 32(2). 423–439. 14 indexed citations
19.
Wong, Albert, et al.. (2011). Medical innovation and age-specific trends in health care utilization: Findings and implications. Social Science & Medicine. 74(2). 263–272. 35 indexed citations
20.
Wouterse, Bram, Bert Meijboom, & Johan Polder. (2010). The relationship between baseline health and longitudinal costs of hospital use. Health Economics. 20(8). 985–1008. 9 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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