Beatriz Balbás

414 citations
23 papers · 302 · h-index 9

Impact in

Papers in

Beatriz Balbás

21 papers receiving 296 citations

Peers

Beatriz Balbás
Comparison fields: 5 of 26
  • Management Science and Operations Research 263
  • Demography 134
  • Finance 107
  • Economics and Econometrics 215
  • General Decision Sciences 12
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Fangda Liu Canada
Alexandru Badescu Canada
Mitja Stadje Germany
Kai Detlefsen Taiwan
Junna Bi China
Marcos Escobar Canada
Jörn Saß Germany
Yichun Chi China
Yonggan Zhao Canada
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Citations per field
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Citations per year

Countries citing papers authored by Beatriz Balbás

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Balbás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Beatriz Balbás, 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 Beatriz Balbás Line = papers co-authored together Beatriz Balbás links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008107
2 201448
3 201129
4 200919
5 201516
6 201011
7 201610
8 201710
9 20199
10 20128
11 20208
12 20216
13 20135
14 20234
15 20223
16 20212
17
Optimal Reinsurance Wtih General Risk Functions
20082
18 20132
19 20231
20 20201

About Beatriz Balbás

Beatriz Balbás is a scholar working on Management Science and Operations Research, Economics and Econometrics, Finance, Demography and Control and Systems Engineering, having authored 23 papers that have together received 302 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (20 papers), Stochastic processes and financial applications (13 papers), Insurance, Mortality, Demography, Risk Management (11 papers), Economic theories and models (8 papers), Insurance and Financial Risk Management (8 papers), Complex Systems and Time Series Analysis (1 paper), Optimization and Mathematical Programming (1 paper) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Management Science and Operations Research (263 citations), Demography (134 citations), Finance (107 citations), Economics and Econometrics (215 citations) and General Decision Sciences (12 citations). Beatriz Balbás has collaborated with scholars based in Spain and Canada. Frequent co-authors include Alejandro Balbás, Antonio Heras and E.A. Galperin. Their work appears in journals such as Insurance Mathematics and Economics, European Journal of Operational Research, Journal of Computational and Applied Mathematics, Applied Mathematical Finance and Journal of Banking & Finance.

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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