András Prékopa

89 papers receiving 2.4k citations

András Prékopa's Hit Papers

Stochastic Programming 1995 · 1.1k citations
1.1k0+10+20Years since publication2505007501000

Peers

András Prékopa
Comparison fields: 5 of 111
  • Management Science and Operations Research 1.3k
  • Statistics and Probability 535
  • Statistics, Probability and Uncertainty 326
  • Numerical Analysis 194
  • Control and Systems Engineering 797
Replace Werner Römisch with:
Werner Römisch Germany
Darinka Dentcheva United States
Hsien-Chung Wu Taiwan
Berç Rüstem United Kingdom
Huifu Xu United Kingdom
François Oustry France
Włodzimierz Ogryczak Poland
Onésimo Hernández–Lerma Mexico
Wolfram Wiesemann United Kingdom
A. Hadi‐Vencheh Iran
András Prékopa relative to Werner Römisch Germany Werner Römisch's profile →
Citations per field
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Werner Römisch · 1×
Citations per year

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-authors

The 25 scholars most cited alongside András Prékopa, 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 András Prékopa Line = papers co-authored together András Prékopa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stochastic Programming
Hit paper breakdown →
19951141
2
Logarithmic concave measures with application to stochastic programming
1971206
3 2000150
4 1973112
5 1988103
6 198972
7 199061
8 197841
9 199037
10 200135
11 201035
12 200434
13 196631
14 195229
15 197428
16 199525
17 200224
18 199923
19 195621
20 199120

About András Prékopa

András Prékopa is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (31 papers), Optimization and Mathematical Programming (16 papers), Probabilistic and Robust Engineering Design (9 papers), Water resources management and optimization (7 papers), Bayesian Modeling and Causal Inference (7 papers), Optimization and Variational Analysis (6 papers), Fuzzy Systems and Optimization (6 papers) and Multi-Criteria Decision Making (6 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Statistics and Probability (535 citations), Statistics, Probability and Uncertainty (326 citations), Numerical Analysis (194 citations) and Control and Systems Engineering (797 citations). András Prékopa has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include Darinka Dentcheva, Andrzej Ruszczyński, Endre Boros, Tamás Szántai, József Bukszár, Wenzhong Li, Tamás Rapcsák, Tiina Heikkinen, István Zsuffa and Gabriela Alexe. Their work appears in journals such as Annals of Operations Research, Discrete Applied Mathematics, Operations Research Letters, Operations Research and Mathematics of Operations Research.

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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