András Prékopa

114 papers receiving 3.2k citations

András Prékopa's Hit Papers

Stochastic Programming 1995 · 1.3k citations
1.3k0+10+20Years since publication4008001.2k

Peers

András Prékopa
Comparison fields: 5 of 118
  • Management Science and Operations Research 1.8k
  • Statistics and Probability 730
  • Statistics, Probability and Uncertainty 441
  • Numerical Analysis 270
  • Control and Systems Engineering 1.1k
Replace Darinka Dentcheva with:
Darinka Dentcheva United States
Werner Römisch Germany
Hsien-Chung Wu Taiwan
Rüdiger Schultz Germany
Berç Rüstem United Kingdom
Włodzimierz Ogryczak Poland
Tito Homem‐de‐Mello United States
François Oustry France
Huifu Xu United Kingdom
Onésimo Hernández–Lerma Mexico
András Prékopa relative to Darinka Dentcheva United States Darinka Dentcheva's profile →
Citations per field
00.5×1.5×
Darinka Dentcheva · 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 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stochastic Programming
Hit paper breakdown →
19951262
2
Logarithmic concave measures with application to stochastic programming
1971255
3 2000161
4 1973136
5 2003124
6 1988118
7 198984
8 199071
9 201566
10 197863
11 199858
12 197857
13 199041
14 200140
15 201037
16 197437
17 195237
18 200436
19 198833
20 196633

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 117 papers that have together received 3.5k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (38 papers), Optimization and Mathematical Programming (21 papers), Probabilistic and Robust Engineering Design (12 papers), Multi-Criteria Decision Making (9 papers), Water resources management and optimization (8 papers), Advanced Optimization Algorithms Research (7 papers), Bayesian Modeling and Causal Inference (7 papers) and Optimization and Variational Analysis (6 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Statistics and Probability (730 citations), Statistics, Probability and Uncertainty (441 citations), Numerical Analysis (270 citations) and Control and Systems Engineering (1.1k citations). András Prékopa has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include Tamás Szántai, Endre Boros, Andrzej Ruszczyński, Darinka Dentcheva, József Bukszár, Béla Vízvári, Wenzhong Li, Péter Kelle, Tamás Rapcsák and István Zsuffa. Their work appears in journals such as Annals of Operations Research, Discrete Applied Mathematics, Operations Research Letters, Mathematics of Operations Research and 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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