Hippolyte d’Albis

1.6k citations
88 papers · 745 · h-index 16

Impact in

Papers in

Hippolyte d’Albis

77 papers receiving 689 citations

Peers

Hippolyte d’Albis
Comparison fields: 5 of 80
  • Demography 223
  • General Health Professions 296
  • Economics and Econometrics 280
  • Gender Studies 95
  • Accounting 94
Replace Matteo Cervellati with:
Matteo Cervellati Italy
Michele Campolieti Canada
Christophe Courbage Switzerland
Markus Hahn Australia
Tammy Schirle Canada
Fabrice Murtin France
Konstantinos Tatsiramos Luxembourg
Emily Wiemers United States
Luis Ayala Cañón Spain
François Langot France
Hippolyte d’Albis relative to Matteo Cervellati Italy Matteo Cervellati's profile →
Citations per field
00.5×3.4×
Matteo Cervellati · 1×
Citations per year

Countries citing papers authored by Hippolyte d’Albis

Since Specialization
Citations

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

Fields of papers citing papers by Hippolyte d’Albis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hippolyte d’Albis. 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 Hippolyte d’Albis. The network helps show where Hippolyte d’Albis may publish in the future.

Co-authors

The 25 scholars most cited alongside Hippolyte d’Albis, 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 Hippolyte d’Albis Line = papers co-authored together Hippolyte d’Albis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201858
2 200551
3 201341
4 201634
5 201131
6 201524
7 201823
8 200920
9 201720
10 201519
11 201719
12 200518
13 201518
14 201417
15 201716
16 202015
17 201814
18 202014
19 201814
20 201513

About Hippolyte d’Albis

Hippolyte d’Albis is a scholar working on General Health Professions, Economics and Econometrics, Demography, Sociology and Political Science and Accounting, having authored 88 papers that have together received 745 indexed citations. Recurring topics across this work include Global Health Care Issues (35 papers), Economic theories and models (16 papers), Insurance, Mortality, Demography, Risk Management (16 papers), Economic Growth and Productivity (14 papers), Financial Literacy, Pension, Retirement Analysis (13 papers), Fiscal Policy and Economic Growth (8 papers), Global Maternal and Child Health (8 papers) and Retirement, Disability, and Employment (7 papers). The work is most often cited by research in Demography (223 citations), General Health Professions (296 citations), Economics and Econometrics (280 citations), Gender Studies (95 citations) and Accounting (94 citations). Hippolyte d’Albis has collaborated with scholars based in France, Netherlands and Morocco. Frequent co-authors include Ekrame Boubtane, Dramane Coulibaly, Emmanuelle Augeraud‐Véron, Magali Mazuy, Magali Barbiéri, Miguel Sánchez-Romero, Fabrice Collard, Didier Breton, Alexia Prskawetz and Hermen Jan Hupkes. Their work appears in journals such as Journal of Mathematical Economics, Economics Letters, Journal of Economic Dynamics and Control, Demographic Research and Economic Theory.

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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