Ewa Tabeau

537 citations
14 papers · 300 · h-index 9

Impact in

  • Demography top 2%
    • Insurance, Mortality, Demography, Risk Management
  • Health top 10%
    • Health disparities and outcomes

Papers in

Ewa Tabeau

14 papers receiving 244 citations

Peers

Ewa Tabeau
Comparison fields: 5 of 51
  • Demography 170
  • Health 70
  • General Health Professions 187
  • Management Science and Operations Research 32
  • Gender Studies 23
Replace Jean Bourgeois‐Pichat with:
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Donald T. Rowland Australia
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Jona Schellekens Israel
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Karen A. Woodrow United States
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Citations per field
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Citations per year

Countries citing papers authored by Ewa Tabeau

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Tabeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ewa Tabeau, 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 Ewa Tabeau Line = papers co-authored together Ewa Tabeau links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200579
2 200165
3 200135
4 199829
5 200525
6 200515
7
Mortality in the Netherlands: the data base
199415
8 199914
9 20018
10
Trends and sex-differentials in Dutch mortality since 1850: insights from a cohort--and period--perspective.
19975
11 20134
12
Przyczyny wysokiej umieralności mężczyzn w wieku produkcyjnym w Polsce - badania ankietowe 1987-1989
19923
13
Przestrzenna analiza uwarunkowań umieralności ludności Polski w latach osiemdziesiątych
19932
14 19991

About Ewa Tabeau

Ewa Tabeau is a scholar working on General Health Professions, Demography, Health, Gender Studies and Health, Toxicology and Mutagenesis, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (8 papers), Global Health Care Issues (7 papers), Health disparities and outcomes (4 papers), Health and Conflict Studies (3 papers), Climate Change and Health Impacts (2 papers), Labour Market and Migration (2 papers), Social Issues in Poland (2 papers) and demographic modeling and climate adaptation (2 papers). The work is most often cited by research in Demography (170 citations), Health (70 citations), General Health Professions (187 citations), Management Science and Operations Research (32 citations) and Gender Studies (23 citations). Ewa Tabeau has collaborated with scholars based in Netherlands, Norway and Australia. Frequent co-authors include Jakub Bijak, C. R. Heathcote, Frans van Poppel, Helge Brunborg, Johan P. Mackenbach, Laurent Toulemon, Frans Willekens, P. Ekamper, Rudolf T. Hoogenveen and Wojciech Hanke. Their work appears in journals such as European Journal of Population / Revue européenne de Démographie, Social Science & Medicine, PubMed, Rivm (National Institute for Public Health and the Environment) and Monografie i Opracowania / Szkoła Główna Handlowa.

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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