Bram Wouterse

935 citations
35 papers · 453 · h-index 10

Impact in

Papers in

Bram Wouterse

31 papers receiving 434 citations

Peers

Bram Wouterse
Comparison fields: 5 of 94
  • Health 132
  • General Health Professions 302
  • Demography 106
  • Economics and Econometrics 155
  • Geriatrics and Gerontology 21
Replace Claudine de Meijer with:
Claudine de Meijer Netherlands
Marta Pascual Sáez Spain
Andreas Werblow Germany
Harriet Komisar United States
Pamela Nadash United States
Lisa Alecxih United States
Mary Jo Gibson United States
Arun S. Hendi United States
Daniel Howdon United Kingdom
Sen Gong China
Bram Wouterse relative to Claudine de Meijer Netherlands Claudine de Meijer's profile →
Citations per field
00.5×1.7×
Claudine de Meijer · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bram Wouterse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bram Wouterse Line = papers co-authored together Bram Wouterse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013192
2 201135
3 202033
4 201528
5 201918
6 202315
7 201214
8 202212
9 202012
10 201710
11 20109
12 20158
13 20208
14 20237
15 20226
16 20235
17 20215
18 20215
19 20234
20 20224

About Bram Wouterse

Bram Wouterse is a scholar working on General Health Professions, Health, Economics and Econometrics, Demography and Sociology and Political Science, having authored 35 papers that have together received 453 indexed citations. Recurring topics across this work include Global Health Care Issues (20 papers), Health disparities and outcomes (17 papers), Geriatric Care and Nursing Homes (10 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Healthcare Policy and Management (6 papers), Intergenerational Family Dynamics and Caregiving (5 papers), Migration, Aging, and Tourism Studies (4 papers) and Insurance, Mortality, Demography, Risk Management (4 papers). The work is most often cited by research in Health (132 citations), General Health Professions (302 citations), Demography (106 citations), Economics and Econometrics (155 citations) and Geriatrics and Gerontology (21 citations). Bram Wouterse has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Johan Polder, Marc Koopmanschap, Claudine de Meijer, Albert Wong, Pieter Bakx, Eddy van Doorslaer, Bert Meijboom, Pieter van Baal, Dorly J. H. Deeg and Martijn Huisman. Their work appears in journals such as Health Economics, Journal of Health Economics, PharmacoEconomics, Fiscal Studies and Journal of the American Medical Directors Association.

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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