Peter Kall

21 papers receiving 1.5k citations

Peers

Peter Kall
Comparison fields: 5 of 66
  • Numerical Analysis 232
  • Management Science and Operations Research 696
  • Control and Systems Engineering 382
  • Computational Theory and Mathematics 191
  • Industrial and Manufacturing Engineering 102
Replace Julia L. Higle with:
Julia L. Higle United States
Rüdiger Schultz Germany
Alan J. King United States
A. L. Soyster United States
A. Ravindran United States
Kiriakos Vlahos United Kingdom
François Oustry France
Jitka Dupačová Czechia
Wolfram Wiesemann United Kingdom
Han-Lin Li Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Peter Kall

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Peter Kall, 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 Peter Kall Line = papers co-authored together Peter Kall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995727
2 1976264
3 2010247
4 197966
5 199855
6 198649
7 197435
8 199630
9 198222
10
Stochastic linear programming models, theory, and computation
200517
11 200513
12 196710
13 19768
14 19765
15
Stochastic programming : numerical techniques and engineering applications : proceedings of the 2nd GAMM/IFIP-Workshop on "Stochastic Optimization: Numerical Methods and Technical Applications", held at the Federal Armed Forces University Munich, Neubiberg/München, Germany, June 15-17, 1993
19953
16 19762
17 19762
18 19641
19 19841
20
Systems Modelling and Optimization Proceedings of the 18th Ifip Tc7 Conference
19991

About Peter Kall

Peter Kall is a scholar working on Management Science and Operations Research, Numerical Analysis, Control and Systems Engineering, Computational Theory and Mathematics and Statistics and Probability, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (16 papers), Advanced Optimization Algorithms Research (8 papers), Optimization and Mathematical Programming (7 papers), Advanced Control Systems Optimization (2 papers), Optimization and Variational Analysis (2 papers), Management and Optimization Techniques (2 papers), Mathematical Dynamics and Fractals (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Numerical Analysis (232 citations), Management Science and Operations Research (696 citations), Control and Systems Engineering (382 citations), Computational Theory and Mathematics (191 citations) and Industrial and Manufacturing Engineering (102 citations). Peter Kall has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include Stein W. Wallace, Kiriakos Vlahos, János Mayer, Kurt Marti, Gustav Feichtinger, Michael P. Polis, Asen L. Dontchev, Andrzej W. Olbrot and Irena Lasiecka. Their work appears in journals such as Probability Theory and Related Fields, Numerische Mathematik, Journal of the Operational Research Society, Annals of Operations Research and Mathematical Programming.

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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