Michael Domaratzki
- Molecular Biology
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Plant Science top 10%
- Genetics
- Co-authors
- Kai SalomaaSylvie CloutierSridhar RavichandranRaja RagupathySaman MuthukumaranaJeff BowmanColin J. GarrowayAlexander Okhotin
- Topics
- semigroups and automata theory (25 papers)DNA and Biological Computing (25 papers)Algorithms and Data Compression (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsProceedings of the Royal Society B Biological Sciences
In The Last Decade
Michael Domaratzki
56 papers receiving 624 citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 266
- Artificial Intelligence 221
- Computational Theory and Mathematics 217
- Plant Science 188
- Genetics 86
Countries citing papers authored by Michael Domaratzki
This map shows the geographic impact of Michael Domaratzki'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 Michael Domaratzki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Domaratzki more than expected).
Fields of papers citing papers by Michael Domaratzki
This network shows the impact of papers produced by Michael Domaratzki. 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 Michael Domaratzki. The network helps show where Michael Domaratzki may publish in the future.
Co-authorship network of co-authors of Michael Domaratzki
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Domaratzki. A scholar is included among the top collaborators of Michael Domaratzki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Domaratzki. Michael Domaratzki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 19 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 81 | |
| 8 | 50 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | State Complexity of Orthogonal Catenation. | 8 |
| 13 | Enumeration of Formal Languages. | 5 |
| 14 | Interpreted Trajectories | 2 |
| 15 | 0 | |
| 16 | More Words on Trajectories. | 6 |
| 17 | Combinatorial Interpretations of a Generalization of the Genocchi Numbers | 13 |
| 18 | 25 | |
| 19 | 2 | |
| 20 | State Complexity and Proportional Removals. | 16 |
About Michael Domaratzki
Michael Domaratzki is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology, having authored 59 papers that have together received 636 indexed citations. Recurring topics across this work include semigroups and automata theory (25 papers), DNA and Biological Computing (25 papers) and Algorithms and Data Compression (20 papers). The work is most often cited by research in Computational Theory and Mathematics (217 citations), Artificial Intelligence (221 citations) and Plant Science (188 citations). Michael Domaratzki has collaborated with scholars based in Canada, Finland and Italy. Frequent co-authors include Kai Salomaa, Sylvie Cloutier, Sridhar Ravichandran, Raja Ragupathy, Saman Muthukumarana, Jeff Bowman, Colin J. Garroway, Alexander Okhotin, Chloé Schmidt and Jeffrey Shallit. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.
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.