Marc Hellmuth
Impact in
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- Advanced Graph Theory Research
- Graph Labeling and Dimension Problems
Papers in
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- Genomics and Phylogenetic Studies 18
- Bioinformatics and Genomic Networks 5
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- Advanced Graph Theory Research 16
- Graph Labeling and Dimension Problems 8
- Co-authors
- Peter F. Stadler (31 shared papers)Nicolas Wieseke (9 shared papers)Maribel Hernández-Rosales (5 shared papers)Martin Middendorf (5 shared papers)Vincent Moulton (4 shared papers)Katharina T. Huber (3 shared papers)Hans‐Peter Lenhof (2 shared papers)Marcus Lechner (1 shared paper)
- Journals
- Discrete Applied Mathematics (7 papers)Algorithms for Molecular Biology (4 papers)Ars Mathematica Contemporanea (4 papers)Journal of Mathematical Biology (4 papers)Theoretical Computer Science (3 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Marc Hellmuth
49 papers receiving 344 citations
Peers
Comparison fields: 5 of 64
- Computational Theory and Mathematics 132
- Computational Mathematics 4
- Discrete Mathematics and Combinatorics 16
- Genetics 99
- Molecular Biology 170
Countries citing papers authored by Marc Hellmuth
This map shows the geographic impact of Marc Hellmuth'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 Hellmuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Hellmuth more than expected).
Fields of papers citing papers by Marc Hellmuth
This network shows the impact of papers produced by Marc Hellmuth. 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 Hellmuth. The network helps show where Marc Hellmuth may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Hellmuth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 49 | |
| 2 | 2012 | 41 | |
| 3 | 2017 | 37 | |
| 4 | 2012 | 23 | |
| 5 | 2016 | 17 | |
| 6 | 2012 | 14 | |
| 7 | 2011 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2008 | 10 | |
| 10 | 2010 | 10 | |
| 11 | 2011 | 8 | |
| 12 | 2009 | 8 | |
| 13 | Best match graphs | 2019 | 7 |
| 14 | 2023 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 2013 | 6 | |
| 18 | 2009 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 5 |
About Marc Hellmuth
Marc Hellmuth is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 54 papers that have together received 360 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Advanced Graph Theory Research (16 papers), Genome Rearrangement Algorithms (9 papers), Graph Labeling and Dimension Problems (8 papers), Genetic diversity and population structure (7 papers), graph theory and CDMA systems (7 papers), Chromosomal and Genetic Variations (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Computational Theory and Mathematics (132 citations), Computational Mathematics (4 citations), Discrete Mathematics and Combinatorics (16 citations), Genetics (99 citations) and Molecular Biology (170 citations). Marc Hellmuth has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Peter F. Stadler, Nicolas Wieseke, Maribel Hernández-Rosales, Martin Middendorf, Vincent Moulton, Katharina T. Huber, Hans‐Peter Lenhof, Marcus Lechner, Josef Leydold and Josch K. Pauling. Their work appears in journals such as Discrete Applied Mathematics, Algorithms for Molecular Biology, Ars Mathematica Contemporanea, Journal of Mathematical Biology and Theoretical Computer Science.
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.