András Prékopa

4.8k total citations · 1 hit paper
93 papers, 2.7k citations indexed

About

András Prékopa is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, András Prékopa has authored 93 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Management Science and Operations Research, 17 papers in Control and Systems Engineering and 14 papers in Statistics and Probability. Recurrent topics in András Prékopa's work include Risk and Portfolio Optimization (31 papers), Optimization and Mathematical Programming (16 papers) and Probabilistic and Robust Engineering Design (9 papers). András Prékopa is often cited by papers focused on Risk and Portfolio Optimization (31 papers), Optimization and Mathematical Programming (16 papers) and Probabilistic and Robust Engineering Design (9 papers). András Prékopa collaborates with scholars based in United States, Hungary and Netherlands. András Prékopa's co-authors include Andrzej Ruszczyński, Darinka Dentcheva, Endre Boros, Tamás Szántai, József Bukszár, Wenzhong Li, Tamás Rapcsák, Tiina Heikkinen, István Zsuffa and Gabriela Alexe and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Water Resources Research.

In The Last Decade

András Prékopa

90 papers receiving 2.4k citations

Hit Papers

Stochastic Programming 1995 2026 2005 2015 1995 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
András Prékopa United States 21 1.3k 796 534 380 326 93 2.7k
Berç Rüstem United Kingdom 26 1.3k 1.0× 732 0.9× 218 0.4× 490 1.3× 239 0.7× 121 2.7k
Darinka Dentcheva United States 20 2.4k 1.8× 906 1.1× 565 1.1× 633 1.7× 375 1.2× 58 3.9k
François Oustry France 7 770 0.6× 1.9k 2.4× 180 0.3× 534 1.4× 200 0.6× 12 3.0k
L. Jeff Hong Hong Kong 26 1.5k 1.2× 274 0.3× 319 0.6× 543 1.4× 400 1.2× 103 2.3k
Włodzimierz Ogryczak Poland 29 1.9k 1.5× 636 0.8× 287 0.5× 290 0.8× 75 0.2× 89 3.1k
Erick Delage Canada 19 1.2k 0.9× 553 0.7× 257 0.5× 114 0.3× 217 0.7× 61 2.4k
James Luedtke United States 22 865 0.7× 743 0.9× 174 0.3× 296 0.8× 180 0.6× 53 2.2k
Huifu Xu United Kingdom 25 1.1k 0.9× 391 0.5× 332 0.6× 678 1.8× 150 0.5× 95 1.8k
Peter Kall Switzerland 11 593 0.5× 515 0.6× 178 0.3× 205 0.5× 82 0.3× 19 1.3k
Masahiro Inuiguchi Japan 28 1.7k 1.3× 1.2k 1.6× 887 1.7× 856 2.3× 77 0.2× 191 3.1k

Countries citing papers authored by András Prékopa

Since Specialization
Citations

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

Fields of papers citing papers by András Prékopa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Prékopa

This figure shows the co-authorship network connecting the top 25 collaborators of András Prékopa. A scholar is included among the top collaborators of András Prékopa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with András Prékopa. András Prékopa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lejeune, Miguel A. & András Prékopa. (2018). Relaxations for probabilistically constrained stochastic programming problems: review and extensions. Annals of Operations Research. 354(3). 1227–1248. 9 indexed citations
2.
Prékopa, András, et al.. (2018). Sharp bounds for the probability that exactly k-out-of-n events occur with unimodal distributions. Annals of Operations Research. 354(3). 1307–1331. 1 indexed citations
3.
Prékopa, András, et al.. (2017). New bounds for the probability that at least k-out-of-n events occur with unimodal distributions. Discrete Applied Mathematics. 226. 138–157. 5 indexed citations
4.
Kim, Jong‐Pil, et al.. (2016). Extreme value estimation for a function of a random sample using binomial moments scheme and Boolean functions of events. Discrete Applied Mathematics. 219. 210–218. 1 indexed citations
5.
Prékopa, András, et al.. (2015). The Discrete Moment Method for the numerical integration of piecewise higher order convex functions. Discrete Applied Mathematics. 202. 151–162. 1 indexed citations
6.
Prékopa, András, et al.. (2013). Log-concavity of compound distributions with applications in stochastic optimization. Discrete Applied Mathematics. 161(18). 3017–3027. 10 indexed citations
7.
Prékopa, András & Tamás Szántai. (2009). On the analytical–numerical valuation of the Bermudan and American options. Quantitative Finance. 10(1). 59–74. 4 indexed citations
8.
Prékopa, András, et al.. (2008). Sharp Bounds for the Probability of the Union of Events Under Unimodality Condition. European Journal of Pure and Applied Mathematics. 1(1). 60–81. 5 indexed citations
9.
Prékopa, András, et al.. (2008). On strong unimodality of multivariate discrete distributions. Discrete Applied Mathematics. 157(2). 234–246. 1 indexed citations
10.
Prékopa, András. (2005). On the Hungarian inventory control model. European Journal of Operational Research. 171(3). 894–914. 9 indexed citations
11.
Prékopa, András, et al.. (2004). Bounding the probability of the union of events by aggregation and disaggregation in linear programs. Discrete Applied Mathematics. 145(3). 444–454. 34 indexed citations
12.
Heikkinen, Tiina & András Prékopa. (2004). Optimal power control in a wireless network using a model with stochastic link coefficients. Naval Research Logistics (NRL). 52(2). 178–192. 11 indexed citations
13.
Prékopa, András & Gabriela Alexe. (2003). DUAL METHODS FOR THE NUMERICAL SOLUTION OF THE UNIVARIATE POWER MOMENT PROBLEM. 2 indexed citations
14.
Dentcheva, Darinka, András Prékopa, & Andrzej Ruszczyński. (2002). Bounds for probabilistic integer programming problems. Discrete Applied Mathematics. 124(1-3). 55–65. 24 indexed citations
15.
Prékopa, András. (2001). On the concavity of multivariate probability distribution functions. Operations Research Letters. 29(1). 1–4. 6 indexed citations
16.
Prékopa, András. (1990). The discrete moment problem and linear programming. Discrete Applied Mathematics. 27(3). 235–254. 37 indexed citations
17.
Prékopa, András. (1985). Studies in applied stochastic programming : 1.. REAL-EOD (Library of the Hungarian Academy of Sciences and the Information Center Oriental Collection). 2 indexed citations
18.
Prékopa, András. (1980). On the Development of Optimization Theory. American Mathematical Monthly. 87(7). 527–527. 12 indexed citations
19.
Prékopa, András. (1978). Planning in interconnected power systems: An example of two-stage programming under uncertainty. Defense Technical Information Center (DTIC). 78. 29376. 1 indexed citations
20.
Prékopa, András, et al.. (1974). Inventory Control and Water Storage. Technometrics. 16(3). 482–482. 7 indexed citations

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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