Michael Perregaard

533 citations
13 papers · 381 · h-index 11

Impact in

Papers in

Michael Perregaard

13 papers receiving 349 citations

Peers

Michael Perregaard
Comparison fields: 5 of 47
  • Industrial and Manufacturing Engineering 232
  • Numerical Analysis 82
  • Computational Theory and Mathematics 116
  • Computer Graphics and Computer-Aided Design 18
  • Computer Networks and Communications 90
Replace Uwe H. Suhl with:
Uwe H. Suhl Germany
Tetsuya Fujie Japan
Gregor Hendel Germany
Thelma D. Mavridou United States
Claudio Sodini Italy
Dieter Weninger Germany
Nancy Perrot France
Ivo Nowak Germany
Edward Kh. Gimadi Russia
Pascal Benchimol France
Michael Perregaard relative to Uwe H. Suhl Germany Uwe H. Suhl's profile →
Citations per field
00.5×2×3×4×4.7×
Uwe H. Suhl · 1×
Citations per year

Countries citing papers authored by Michael Perregaard

Since Specialization
Citations

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

Fields of papers citing papers by Michael Perregaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200384
2 199763
3 200261
4 199935
5 200932
6 199823
7 200121
8 199818
9 199814
10 201713
11 200212
12 20183
13 20162

About Michael Perregaard

Michael Perregaard is a scholar working on Industrial and Manufacturing Engineering, Numerical Analysis, Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Optimization and Packing Problems (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Advanced Optimization Algorithms Research (3 papers), Scheduling and Optimization Algorithms (3 papers), Optimization and Search Problems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Distributed and Parallel Computing Systems (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (232 citations), Numerical Analysis (82 citations), Computational Theory and Mathematics (116 citations), Computer Graphics and Computer-Aided Design (18 citations) and Computer Networks and Communications (90 citations). Michael Perregaard has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include Egon Balas, Jens Clausen, Alkis Vazacopoulos, Timo Berthold, Stefan E. Karisch, Franz Rendl, James Robert Farmer, Stefan Heinz and Csaba Mészáros. Their work appears in journals such as Computational Optimization and Applications, Annals of Operations Research, Journal of Parallel and Distributed Computing, INFORMS journal on computing and Optimization methods & software.

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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