Raluca Vernic

975 citations
64 papers · 679 · h-index 14

Impact in

Papers in

Raluca Vernic

57 papers receiving 651 citations

Peers

Raluca Vernic
Comparison fields: 5 of 60
  • Management Science and Operations Research 465
  • Statistics and Probability 299
  • Finance 281
  • Demography 203
  • Economics and Econometrics 172
Replace Werner Hürlimann with:
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Vladimir K. Kaishev United Kingdom
Lesław Gajek Poland
Filip Lindskog Sweden
Taras Bodnar Germany
David Vyncke Belgium
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Marek Kałuszka Poland
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Citations per field
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Citations per year

Countries citing papers authored by Raluca Vernic

Since Specialization
Citations

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

Fields of papers citing papers by Raluca Vernic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Raluca Vernic, 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 Raluca Vernic Line = papers co-authored together Raluca Vernic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200684
2 200581
3 200858
4 200943
5 199728
6 201325
7 200925
8 201923
9 200723
10 200019
11 199918
12 201516
13 201414
14
Some Composite ExponentialPareto Models for Actuarial Prediction
200913
15 201413
16 201613
17
A composite Exponential-Pareto distribution
200612
18 201310
19 20119
20 20159

About Raluca Vernic

Raluca Vernic is a scholar working on Management Science and Operations Research, Statistics and Probability, Demography, Finance and Artificial Intelligence, having authored 64 papers that have together received 679 indexed citations. Recurring topics across this work include Probability and Risk Models (42 papers), Statistical Distribution Estimation and Applications (24 papers), Insurance, Mortality, Demography, Risk Management (24 papers), Financial Risk and Volatility Modeling (18 papers), Bayesian Methods and Mixture Models (13 papers), Risk and Portfolio Optimization (11 papers), Insurance and Financial Risk Management (10 papers) and Stochastic processes and financial applications (7 papers). The work is most often cited by research in Management Science and Operations Research (465 citations), Statistics and Probability (299 citations), Finance (281 citations), Demography (203 citations) and Economics and Econometrics (172 citations). Raluca Vernic has collaborated with scholars based in Romania, United States and Canada. Frequent co-authors include Catalina Bolancé, Qihe Tang, Alexandru V. Asimit, Roger J. A. Laeven, Marc Goovaerts, Rob Kaas, Ričardas Zitikis, Montserrat Guillén, Edward Furman and Daniela Ungureanu. Their work appears in journals such as Insurance Mathematics and Economics, Astin Bulletin, Scandinavian Actuarial Journal, Decisions in Economics and Finance and Journal of Theoretical Probability.

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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