Natacha Brouhns
- Demography top 0.5%
- Insurance, Mortality, Demography, Risk Management 7
- General Health Professions top 2%
- Global Health Care Issues 6
- Health top 5%
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- demographic modeling and climate adaptation 4
- Probability and Risk Models 3
- Economics and Econometrics top 5%
- Health Systems, Economic Evaluations, Quality of Life 1
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- Statistical Methods and Bayesian Inference 1
- Statistical Distribution Estimation and Applications 1
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- Bayesian Methods and Mixture Models 1
Natacha Brouhns
9 papers receiving 788 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Demography 794
- General Health Professions 682
- Health 193
- Management Science and Operations Research 277
- Economics and Econometrics 237
Countries citing papers authored by Natacha Brouhns
This map shows the geographic impact of Natacha Brouhns'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 Natacha Brouhns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natacha Brouhns more than expected).
Fields of papers citing papers by Natacha Brouhns
This network shows the impact of papers produced by Natacha Brouhns. 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 Natacha Brouhns. The network helps show where Natacha Brouhns may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Natacha Brouhns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 130 | |
| 2 | 2003 | 45 | |
| 3 | Risque de longévité et rentes viagères - 2. Tables de mortalité prospectives pour la population belge | 2002 | 8 |
| 4 | Risque de longévité et rentes viagères - 3. Elaboration de tables de mortalité prospectives pour la population assurée belge, et évaluation du coût de l'antisélection | 2002 | 4 |
| 5 | 2002 | 51 | |
| 6 | 2002 | 68 | |
| 7 | Ratemaking by geographical area in the Boskov and Verrall model: a case study using Belgian car insurance data | 2002 | 3 |
| 8 | A Poisson log-bilinear regression approach to the construction of projected lifetablesbreakdown → | 2002 | 548 |
| 9 | Optimal Bonus-Malus scales in segmented tariffs | 2002 | 2 |
About Natacha Brouhns
Natacha Brouhns is a scholar working on Demography, Management Science and Operations Research and General Health Professions, having authored 9 papers that have together received 859 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (7 papers), Global Health Care Issues (6 papers), demographic modeling and climate adaptation (4 papers), Probability and Risk Models (3 papers), Statistical Methods and Bayesian Inference (1 paper), Statistical Distribution Estimation and Applications (1 paper), Bayesian Methods and Mixture Models (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Demography (794 citations), General Health Professions (682 citations) and Health (193 citations). Natacha Brouhns has collaborated with scholars based in Australia, Belgium and Netherlands. Frequent co-authors include Michel Denuit, Jeroen K. Vermunt, Ingrid Van Keilegom, Montserrat Guillén, Jean Pinquet and Richard Verrall. Their work appears in journals such as Journal of Risk & Insurance, Insurance Mathematics and Economics and Scandinavian Actuarial Journal.
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.