Marc Uetz

1.8k citations
68 papers · 1.2k · h-index 15

Impact in

Papers in

Marc Uetz

60 papers receiving 1.2k citations

Peers

Marc Uetz
Comparison fields: 5 of 93
  • Industrial and Manufacturing Engineering 558
  • Management Science and Operations Research 461
  • Computer Networks and Communications 335
  • Management Information Systems 84
  • Cell Biology 115
Replace Yingqian Zhang with:
Yingqian Zhang Netherlands
Joseph Chan Hong Kong
Xingwei Wang China
Siyang Gao Hong Kong
Jürgen Zimmermann Germany
Andreas Wortmann Germany
Stefano Mariani Italy
Arthur Hsu Australia
Yongping Zhang China
Oliver Wendt Germany
Marc Uetz relative to Yingqian Zhang Netherlands Yingqian Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marc Uetz

Since Specialization
Citations

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

Fields of papers citing papers by Marc Uetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011331
2 2003149
3 1999121
4 200864
5 200557
6 200646
7 201636
8
Algorithms for Deterministic and Stochastic Scheduling
200129
9 200528
10 200425
11 199923
12 200122
13 201221
14 200720
15 200519
16 201414
17 200913
18 201413
19 201711
20 201610

About Marc Uetz

Marc Uetz is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Computer Networks and Communications, Economics and Econometrics and Management Information Systems, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (38 papers), Optimization and Search Problems (30 papers), Auction Theory and Applications (26 papers), Game Theory and Applications (14 papers), Optimization and Packing Problems (9 papers), Economic theories and models (7 papers), Game Theory and Voting Systems (7 papers) and Consumer Market Behavior and Pricing (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (558 citations), Management Science and Operations Research (461 citations), Computer Networks and Communications (335 citations), Management Information Systems (84 citations) and Cell Biology (115 citations). Marc Uetz has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Rolf H. Möhring, Andreas S. Schulz, Frederik Stork, Martin Skutella, Alexander Grigoriev, Maxim Sviridenko, Gerhard F. Post, Dimitrios Stamatialis, Bernke J. Papenburg and Clemens van Blitterswijk. Their work appears in journals such as Operations Research Letters, Mathematics of Operations Research, Lecture notes in computer science, Discrete Optimization 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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