Anke van Zuylen

975 citations
23 papers · 341 · h-index 8

Impact in

Papers in

Anke van Zuylen

22 papers receiving 321 citations

Peers

Anke van Zuylen
Comparison fields: 5 of 42
  • Statistical and Nonlinear Physics 156
  • Computational Theory and Mathematics 111
  • Management Science and Operations Research 71
  • Industrial and Manufacturing Engineering 42
  • Computer Networks and Communications 70
Replace Chandrashekhar Nagarajan with:
Chandrashekhar Nagarajan United States
André Nichterlein Germany
Stefano Leucci Italy
Alessandro Provetti Italy
Naoto Ohsaka Japan
Yuqing Zhu China
Chavdar Dangalchev Bulgaria
Xinyue Liu China
Chun Jin China
Sainyam Galhotra United States
Anke van Zuylen relative to Chandrashekhar Nagarajan United States Chandrashekhar Nagarajan's profile →
Citations per field
00.5×4.3×
Chandrashekhar Nagarajan · 1×
Citations per year

Countries citing papers authored by Anke van Zuylen

Since Specialization
Citations

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

Fields of papers citing papers by Anke van Zuylen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke van Zuylen. 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 Anke van Zuylen. The network helps show where Anke van Zuylen may publish in the future.

Co-authors

The 16 scholars most cited alongside Anke van Zuylen, 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 Anke van Zuylen Line = papers co-authored together Anke van Zuylen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007156
2 200942
3 201720
4 201218
5 200717
6 200717
7 20139
8 20107
9 20147
10 20097
11 20196
12 20125
13 20165
14
Deterministic Approximation Algorithms for Ranking and Clustering Problems
20055
15 20145
16 20134
17 20173
18 20222
19 20172
20 20041

About Anke van Zuylen

Anke van Zuylen is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Industrial and Manufacturing Engineering, Artificial Intelligence and Economics and Econometrics, having authored 23 papers that have together received 341 indexed citations. Recurring topics across this work include Optimization and Search Problems (10 papers), Complexity and Algorithms in Graphs (10 papers), Game Theory and Voting Systems (6 papers), Advanced Graph Theory Research (5 papers), Vehicle Routing Optimization Methods (4 papers), Optimization and Packing Problems (4 papers), Scheduling and Optimization Algorithms (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (156 citations), Computational Theory and Mathematics (111 citations), Management Science and Operations Research (71 citations), Industrial and Manufacturing Engineering (42 citations) and Computer Networks and Communications (70 citations). Anke van Zuylen has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include David P. Williamson, Chandrashekhar Nagarajan, Stefan M. Wild, Tim Carnes, Edo Liberty, Matthias Poloczek, Georg Schnitger, Nir Ailon, Kamal Jain and Suzanne van der Ster. Their work appears in journals such as Mathematical Programming, Operations Research Letters, Discrete Applied Mathematics, Journal of Scheduling and SIAM Journal on Computing.

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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