Michael Domaratzki

113 total papers · 1.3k total citations
59 papers, 627 citations indexed

About

Michael Domaratzki is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Michael Domaratzki has authored 59 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 30 papers in Artificial Intelligence and 26 papers in Computational Theory and Mathematics. Recurrent topics in Michael Domaratzki's work include semigroups and automata theory (25 papers), DNA and Biological Computing (24 papers) and Algorithms and Data Compression (20 papers). Michael Domaratzki is often cited by papers focused on semigroups and automata theory (25 papers), DNA and Biological Computing (24 papers) and Algorithms and Data Compression (20 papers). Michael Domaratzki collaborates with scholars based in Canada, Finland and United States. Michael Domaratzki's co-authors include Kai Salomaa, Sylvie Cloutier, Sridhar Ravichandran, Raja Ragupathy, Saman Muthukumarana, Alexander Okhotin, Colin J. Garroway, Jeff Bowman, Chloé Schmidt and Jeffrey Shallit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Michael Domaratzki

55 papers receiving 615 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Domaratzki 264 218 217 184 84 59 627
Chin Lung Lu 348 1.3× 116 0.5× 156 0.7× 107 0.6× 137 1.6× 42 606
Andrew Butterfield 262 1.0× 74 0.3× 48 0.2× 122 0.7× 94 1.1× 32 648
F. Rodolphe 387 1.5× 107 0.5× 22 0.1× 351 1.9× 175 2.1× 32 792
Roman Kolpakov 354 1.3× 327 1.5× 187 0.9× 96 0.5× 90 1.1× 46 634
Neil Jones 366 1.4× 126 0.6× 24 0.1× 388 2.1× 149 1.8× 21 788
Gilles Didier 343 1.3× 97 0.4× 54 0.2× 50 0.3× 82 1.0× 38 610
Adriano Barbosa-Silva 471 1.8× 78 0.4× 50 0.2× 70 0.4× 127 1.5× 26 704
Artem Lysenko 350 1.3× 57 0.3× 73 0.3× 300 1.6× 53 0.6× 27 727
Philip J. Hatcher 231 0.9× 91 0.4× 32 0.1× 58 0.3× 109 1.3× 46 741
Christina Boucher 316 1.2× 152 0.7× 33 0.2× 43 0.2× 30 0.4× 64 600

Countries citing papers authored by Michael Domaratzki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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