Ján Maňuch
Impact in
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- semigroups and automata theory
Papers in
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- Protein Structure and Dynamics 9
- Advanced biosensing and bioanalysis techniques 8
- DNA and Biological Computing 8
- RNA and protein synthesis mechanisms 7
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- Algorithms and Data Compression 8
- Co-authors
- Ladislav Stacho (26 shared papers)Arvind Gupta (13 shared papers)Steven Pelech (2 shared papers)Murray Patterson (7 shared papers)Anne Condon (6 shared papers)Cédric Chauve (6 shared papers)Chris Thachuk (4 shared papers)Arash Rafiey (7 shared papers)
- Journals
- Journal of Computational Biology (8 papers)Natural Computing (4 papers)Algorithmica (2 papers)Theoretical Computer Science (2 papers)Journal of Bioinformatics and Computational Biology (2 papers)
- Partner nations
- CanadaUnited StatesFinland
In The Last Decade
Ján Maňuch
48 papers receiving 274 citations
Peers
Comparison fields: 5 of 66
- Computational Theory and Mathematics 65
- Discrete Mathematics and Combinatorics 9
- Molecular Biology 182
- Genetics 54
- Aging 3
Countries citing papers authored by Ján Maňuch
This map shows the geographic impact of Ján Maňuch'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 Ján Maňuch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján Maňuch more than expected).
Fields of papers citing papers by Ján Maňuch
This network shows the impact of papers produced by Ján Maňuch. 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 Ján Maňuch. The network helps show where Ján Maňuch may publish in the future.
Co-authors
The 25 scholars most cited alongside Ján Maňuch, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 62 | |
| 2 | 2005 | 22 | |
| 3 | 2009 | 16 | |
| 4 | 2012 | 16 | |
| 5 | 2012 | 13 | |
| 6 | 2010 | 12 | |
| 7 | 2000 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2008 | 8 | |
| 10 | 2011 | 8 | |
| 11 | 2010 | 6 | |
| 12 | 2009 | 6 | |
| 13 | 2009 | 6 | |
| 14 | 2003 | 5 | |
| 15 | 2003 | 5 | |
| 16 | 2011 | 5 | |
| 17 | 2008 | 4 | |
| 18 | 2005 | 4 | |
| 19 | 2006 | 4 | |
| 20 | 2008 | 4 |
About Ján Maňuch
Ján Maňuch is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Materials Chemistry, having authored 50 papers that have together received 284 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Algorithms and Data Compression (8 papers), Genome Rearrangement Algorithms (8 papers), Advanced biosensing and bioanalysis techniques (8 papers), DNA and Biological Computing (8 papers), RNA and protein synthesis mechanisms (7 papers), Enzyme Structure and Function (7 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Computational Theory and Mathematics (65 citations), Discrete Mathematics and Combinatorics (9 citations), Molecular Biology (182 citations), Genetics (54 citations) and Aging (3 citations). Ján Maňuch has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Ladislav Stacho, Arvind Gupta, Steven Pelech, Murray Patterson, Anne Condon, Cédric Chauve, Chris Thachuk, Arash Rafiey, Roland Wittler and Juhani Karhumäki. Their work appears in journals such as Journal of Computational Biology, Natural Computing, Algorithmica, Theoretical Computer Science and Journal of Bioinformatics and Computational Biology.
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.