Dániel Marx

9.2k citations
153 papers · 3.0k · 1 hit paper · h-index 26

Impact in

Papers in

Dániel Marx

142 papers receiving 2.9k citations

Dániel Marx's Hit Papers

Parameterized Algorithms 2015 · 773 citations
7730+3+7Years since publication250500750

Peers

Dániel Marx
Comparison fields: 5 of 103
  • Computational Theory and Mathematics 2.3k
  • Discrete Mathematics and Combinatorics 371
  • Computer Graphics and Computer-Aided Design 195
  • Computer Networks and Communications 1.1k
  • Signal Processing 288
Replace Saket Saurabh with:
Saket Saurabh India
Fedor V. Fomin Norway
Tomás Feder United States
Daniel Lokshtanov Norway
Marek Karpiński Germany
Rolf Niedermeier Germany
Hans L. Bodlaender Netherlands
Subhash Khot United States
Michael Saks United States
Martin Charles Golumbic Israel
Dániel Marx relative to Saket Saurabh India Saket Saurabh's profile →
Citations per field
00.5×3.1×
Saket Saurabh · 1×
Citations per year

Countries citing papers authored by Dániel Marx

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Parameterized Algorithms
Hit paper breakdown →
2015773
2 2007111
3 200599
4 201389
5 200874
6
GRAPH COLOURING PROBLEMS AND THEIR APPLICATIONS IN SCHEDULING
200471
7
201068
8 200668
9 201358
10 201254
11 201450
12 200940
13 201139
14 201538
15 200838
16 201136
17 201036
18 201634
19 200834
20 201031

About Dániel Marx

Dániel Marx is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Discrete Mathematics and Combinatorics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 153 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (122 papers), Complexity and Algorithms in Graphs (81 papers), Constraint Satisfaction and Optimization (25 papers), Optimization and Search Problems (23 papers), Graph Labeling and Dimension Problems (20 papers), Limits and Structures in Graph Theory (20 papers), Computational Geometry and Mesh Generation (15 papers) and Algorithms and Data Compression (11 papers). The work is most often cited by research in Computational Theory and Mathematics (2.3k citations), Discrete Mathematics and Combinatorics (371 citations), Computer Graphics and Computer-Aided Design (195 citations), Computer Networks and Communications (1.1k citations) and Signal Processing (288 citations). Dániel Marx has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Martin Grohe, Daniel Lokshtanov, Saket Saurabh, Michał Pilipczuk, Marek Cygan, Marcin Pilipczuk, Fedor V. Fomin, Łukasz Kowalik, Ildikó Schlotter and Albert Atserias. Their work appears in journals such as ACM Transactions on Algorithms, SIAM Journal on Computing, Algorithmica, Theoretical Computer Science and Discrete Applied Mathematics.

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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