Sergey Verlan
Impact in
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- Cellular Automata and Applications
- semigroups and automata theory
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- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- Chemical Synthesis and Analysis
Papers in
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- DNA and Biological Computing 54
- Advanced biosensing and bioanalysis techniques 35
- Gene Regulatory Network Analysis 2
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- Modular Robots and Swarm Intelligence 28
- Co-authors
- Yurii Rogozhin (12 shared papers)Rudolf Freund (14 shared papers)Artiom Alhazov (20 shared papers)Maurice Margenstern (8 shared papers)Gexiang Zhang (7 shared papers)Mario J. Pérez-Jímenez (3 shared papers)Marian Gheorghe (4 shared papers)Erzsébet Csuhaj-Varjú (4 shared papers)
In The Last Decade
Sergey Verlan
52 papers receiving 427 citations
Peers
Comparison fields: 5 of 27
- Computational Theory and Mathematics 167
- Molecular Biology 416
- Mechanical Engineering 194
- Artificial Intelligence 116
- Software 12
Countries citing papers authored by Sergey Verlan
This map shows the geographic impact of Sergey Verlan'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 Sergey Verlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Verlan more than expected).
Fields of papers citing papers by Sergey Verlan
This network shows the impact of papers produced by Sergey Verlan. 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 Sergey Verlan. The network helps show where Sergey Verlan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergey Verlan, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2021 | 45 | |
| 3 | 2004 | 39 | |
| 4 | 2020 | 29 | |
| 5 | 2006 | 24 | |
| 6 | 2010 | 19 | |
| 7 | 2010 | 18 | |
| 8 | 2012 | 17 | |
| 9 | 2010 | 16 | |
| 10 | 2010 | 13 | |
| 11 | 2015 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2004 | 10 | |
| 14 | 2009 | 9 | |
| 15 | 2008 | 8 | |
| 16 | 2014 | 8 | |
| 17 | 2010 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2008 | 7 | |
| 20 | 2009 | 7 |
About Sergey Verlan
Sergey Verlan is a scholar working on Molecular Biology, Mechanical Engineering, Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 57 papers that have together received 450 indexed citations. Recurring topics across this work include DNA and Biological Computing (54 papers), Advanced biosensing and bioanalysis techniques (35 papers), Modular Robots and Swarm Intelligence (28 papers), Cellular Automata and Applications (11 papers), Algorithms and Data Compression (10 papers), semigroups and automata theory (5 papers), Gene Regulatory Network Analysis (2 papers) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (167 citations), Molecular Biology (416 citations), Mechanical Engineering (194 citations), Artificial Intelligence (116 citations) and Software (12 citations). Sergey Verlan has collaborated with scholars based in France, Moldova and Austria. Frequent co-authors include Yurii Rogozhin, Rudolf Freund, Artiom Alhazov, Maurice Margenstern, Gexiang Zhang, Mario J. Pérez-Jímenez, Marian Gheorghe, Erzsébet Csuhaj-Varjú, Gheorghe Pǎun and Ion Petre. Their work appears in journals such as Theoretical Computer Science, Natural Computing, International Journal of Foundations of Computer Science, Electronics and Molecules.
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.