Dániel Marx

148 papers and 3.0k indexed citations i.

About

Dániel Marx is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Dániel Marx has authored 148 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Computational Theory and Mathematics, 58 papers in Computer Networks and Communications and 18 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Dániel Marx’s work include Advanced Graph Theory Research (120 papers), Combinatorial Optimization and Complexity Theory (83 papers) and Optimization and Search Problems (26 papers). Dániel Marx is often cited by papers focused on Advanced Graph Theory Research (120 papers), Combinatorial Optimization and Complexity Theory (83 papers) and Optimization and Search Problems (26 papers). Dániel Marx collaborates with scholars based in Hungary, Germany and United States. Dániel Marx's co-authors include Martin Grohe, Daniel Lokshtanov, Saket Saurabh, Michał Pilipczuk, Marek Cygan, Fedor V. Fomin, Marcin Pilipczuk, Łukasz Kowalik, Ildikó Schlotter and Igor Razgon and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Dániel Marx i

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.

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).

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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