Stefan E. Karisch

1.9k citations
11 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

Stefan E. Karisch

11 papers receiving 962 citations

Stefan E. Karisch's Hit Papers

QAPLIB – A Quadratic Assignment Problem Library 1997 · 397 citations
3970+9+19Years since publication100200300

Peers

Stefan E. Karisch
Comparison fields: 5 of 73
  • Industrial and Manufacturing Engineering 636
  • Numerical Analysis 163
  • Computational Theory and Mathematics 288
  • Management Science and Operations Research 155
  • Artificial Intelligence 310
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Didier El Baz France
Jean‐Claude Picard United States
Rhyd Lewis United Kingdom
Wenxing Zhu China
Tania Querido United States
Paulo Oswaldo Boaventura-Netto Brazil
Eliane Maria Loiola Brazil
Donald Davendra Czechia
Josu Ceberio Spain
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Citations per year

Countries citing papers authored by Stefan E. Karisch

Since Specialization
Citations

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

Fields of papers citing papers by Stefan E. Karisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan E. Karisch. 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 Stefan E. Karisch. The network helps show where Stefan E. Karisch may publish in the future.

Co-authors

The 13 scholars most cited alongside Stefan E. Karisch, 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 Stefan E. Karisch Line = papers co-authored together Stefan E. Karisch links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
QAPLIB – A Quadratic Assignment Problem Library
Hit paper breakdown →
1997397
2 1991221
3 2004155
4 1998129
5 200259
6 200041
7 199926
8 199519
9 199810
10 19945
11 19972

About Stefan E. Karisch

Stefan E. Karisch is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Numerical Analysis, Computational Theory and Mathematics and Management Science and Operations Research, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optimization and Packing Problems (6 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Vehicle Routing Optimization Methods (2 papers), Scheduling and Optimization Algorithms (2 papers), Advanced Optimization Algorithms Research (2 papers), Water resources management and optimization (1 paper), VLSI and FPGA Design Techniques (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (636 citations), Numerical Analysis (163 citations), Computational Theory and Mathematics (288 citations), Management Science and Operations Research (155 citations) and Artificial Intelligence (310 citations). Stefan E. Karisch has collaborated with scholars based in Austria, Denmark and Canada. Frequent co-authors include Franz Rendl, Rainer E. Burkard, Niklas Kohl, Zhao Qing, Henry Wolkowicz, Jens Clausen, Bo Vaaben, Torsten Fahle, Ulrich Junker and Meinolf Sellmann. Their work appears in journals such as Annals of Operations Research, Journal of Global Optimization, Journal of Environmental Management, Computational Optimization and Applications and European Journal of Operational 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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