Marla Ripoll

1.0k citations
22 papers · 541 · h-index 12

Impact in

Papers in

Marla Ripoll

20 papers receiving 502 citations

Peers

Marla Ripoll
Comparison fields: 5 of 41
  • General Economics, Econometrics and Finance 280
  • Economics and Econometrics 392
  • Finance 113
  • General Decision Sciences 11
  • Strategy and Management 84
Replace David E. Lebow with:
David E. Lebow United States
Freddy Heylen Belgium
Tairi Rõõm Ireland
Thomas Moutos Greece
Bulent Unel United States
Θεοδώρα Κοσμά Greece
Julia Darby United Kingdom
Jan Babecký Czechia
Davide Malacrino United States
Miguel Almunia Spain
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Citations per field
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Citations per year

Countries citing papers authored by Marla Ripoll

Since Specialization
Citations

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

Fields of papers citing papers by Marla Ripoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Marla Ripoll, 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 Marla Ripoll Line = papers co-authored together Marla Ripoll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001139
2 200497
3 200664
4 201240
5 201329
6 201627
7 200625
8 201422
9 200418
10 200817
11 200515
12 201514
13 201810
14 20098
15 20176
16 20053
17 20232
18 19942
19
Barro-Becker with credit frictions
20121
20
A contribution to the economic theory of fertility
20111

About Marla Ripoll

Marla Ripoll is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Accounting, Sociology and Political Science and Gender Studies, having authored 22 papers that have together received 541 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (8 papers), Economic Growth and Productivity (8 papers), Economic theories and models (7 papers), Financial Literacy, Pension, Retirement Analysis (5 papers), Gender, Labor, and Family Dynamics (4 papers), Global trade and economics (4 papers), Global Health Care Issues (3 papers) and Firm Innovation and Growth (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (280 citations), Economics and Econometrics (392 citations), Finance (113 citations), General Decision Sciences (11 citations) and Strategy and Management (84 citations). Marla Ripoll has collaborated with scholars based in United States, China and France. Frequent co-authors include Juan Carlos Córdoba, David N. DeJong, Shuichiro Nishioka, Xiying Liu, Romina Boarini and Fabrice Murtin. Their work appears in journals such as Journal of Monetary Economics, The Review of Economic Studies, European Economic Review, Journal of Economic Behavior & Organization and The Review of Economics and Statistics.

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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