Dušan Knop

454 citations
40 papers · 117 · h-index 7

Impact in

Papers in

Dušan Knop

29 papers receiving 115 citations

Peers

Dušan Knop
Comparison fields: 5 of 22
  • Computational Theory and Mathematics 82
  • Discrete Mathematics and Combinatorics 7
  • Industrial and Manufacturing Engineering 21
  • Management Science and Operations Research 25
  • Computer Networks and Communications 32
Replace Yuri Faenza with:
Yuri Faenza United States
Sepp Hartung Germany
Mordechai Shalom Israel
Luciano Gualà Italy
Rajiv Raman United States
Miyuki Koshimura Japan
Kristoffer Arnsfelt Hansen Denmark
Tamás Király Hungary
Alexis C. Kaporis Greece
John Fearnley United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Dušan Knop

Since Specialization
Citations

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

Fields of papers citing papers by Dušan Knop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Dušan Knop, 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 Dušan Knop Line = papers co-authored together Dušan Knop links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201713
2 20199
3 20209
4 20209
5 20189
6 20209
7 20206
8 20196
9 20215
10 20185
11 20174
12 20224
13 20193
14 20193
15 20213
16 20213
17 20192
18 20192
19 20222
20
Applying Convex Integer Programming: Sum Multicoloring and Bounded Neighborhood Diversity.
20171

About Dušan Knop

Dušan Knop is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Economics and Econometrics, Artificial Intelligence and Management Science and Operations Research, having authored 40 papers that have together received 117 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (20 papers), Complexity and Algorithms in Graphs (13 papers), Game Theory and Voting Systems (11 papers), Graph Labeling and Dimension Problems (6 papers), Constraint Satisfaction and Optimization (6 papers), Optimization and Search Problems (5 papers), Game Theory and Applications (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (82 citations), Discrete Mathematics and Combinatorics (7 citations), Industrial and Manufacturing Engineering (21 citations), Management Science and Operations Research (25 citations) and Computer Networks and Communications (32 citations). Dušan Knop has collaborated with scholars based in Czechia, Germany and Austria. Frequent co-authors include Pavel Dvořák, Robert Ganian, Robert Bredereck, Tomáš Gavenčiak, Sebastian Ordyniak, Rolf Niedermeier, Matthias Mnich, Piotr Faliszewski, Shmuel Onn and Fedor V. Fomin. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Discrete Applied Mathematics, Discrete Optimization, Artificial Intelligence and Algorithmica.

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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