Aurel Spătaru

477 citations
21 papers · 304 · h-index 8

Impact in

Papers in

Aurel Spătaru

20 papers receiving 273 citations

Peers

Aurel Spătaru
Comparison fields: 5 of 26
  • Mathematical Physics 192
  • Management Science and Operations Research 264
  • Finance 153
  • Statistics and Probability 89
  • Numerical Analysis 24
Replace Oleg Klesov with:
Oleg Klesov Ukraine
André Adler United States
Dariusz Buraczewski Poland
V. Čekanavičius Lithuania
Przemysław Matuła Poland
Tapas Kumar Chandra India
A. Bozorgnia Iran
Shanchao Yang China
Valeriy Ivanovich Afanasyev Russia
Nathalie Eisenbaum France
Aurel Spătaru relative to Oleg Klesov Ukraine Oleg Klesov's profile →
Citations per field
00.5×5.3×
Oleg Klesov · 1×
Citations per year

Countries citing papers authored by Aurel Spătaru

Since Specialization
Citations

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

Fields of papers citing papers by Aurel Spătaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200081
2 200078
3 199946
4 200315
5 200515
6
Analysis and probability
201313
7 200412
8 200410
9 20066
10 19906
11 19736
12 19914
13 20143
14 20112
15 20092
16 19941
17 20121
18 20101
19 20101
20 20051

About Aurel Spătaru

Aurel Spătaru is a scholar working on Management Science and Operations Research, Mathematical Physics, Finance, Artificial Intelligence and Demography, having authored 21 papers that have together received 304 indexed citations. Recurring topics across this work include Probability and Risk Models (16 papers), Stochastic processes and statistical mechanics (14 papers), Stochastic processes and financial applications (6 papers), Financial Risk and Volatility Modeling (6 papers), Bayesian Methods and Mixture Models (5 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Random Matrices and Applications (2 papers) and Mathematical Dynamics and Fractals (1 paper). The work is most often cited by research in Mathematical Physics (192 citations), Management Science and Operations Research (264 citations), Finance (153 citations), Statistics and Probability (89 citations) and Numerical Analysis (24 citations). Aurel Spătaru has collaborated with scholars based in Romania, Canada and Sweden. Frequent co-authors include Allan Gut, Deli Li and Marius Iosifescu. Their work appears in journals such as Journal of Theoretical Probability, Journal of Mathematical Analysis and Applications, Probability Theory and Related Fields, Proceedings of the American Mathematical Society and Journal of Multivariate Analysis.

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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