Robert Mercaş
Impact in
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- semigroups and automata theory
- Cellular Automata and Applications
- Computability, Logic, AI Algorithms
- Artificial Intelligence top 10%
- Algorithms and Data Compression
- Natural Language Processing Techniques
- Coding theory and cryptography
Papers in
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- Algorithms and Data Compression 25
- Natural Language Processing Techniques 6
- Machine Learning and Algorithms 5
- Evolutionary Algorithms and Applications 2
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- semigroups and automata theory 28
- Advanced Algebra and Logic 2
- Co-authors
- Florín Manea (11 shared papers)F. Blanchet-Sadri (10 shared papers)Solon P. Pissis (2 shared papers)Nadia Pisanti (1 shared paper)Costas S. Iliopoulos (1 shared paper)Dirk Nowotka (3 shared papers)Henning Fernau (3 shared papers)Markus L. Schmid (3 shared papers)
- Journals
- Theoretical Computer Science (10 papers)Discrete Applied Mathematics (2 papers)Information and Computation (2 papers)Information Sciences (1 paper)Journal of Computer and System Sciences (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Robert Mercaş
26 papers receiving 123 citations
Peers
Comparison fields: 5 of 23
- Computational Theory and Mathematics 95
- Artificial Intelligence 96
- Molecular Biology 81
- Ecological Modeling 2
- Hardware and Architecture 3
Countries citing papers authored by Robert Mercaş
This map shows the geographic impact of Robert Mercaş'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 Robert Mercaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Mercaş more than expected).
Fields of papers citing papers by Robert Mercaş
This network shows the impact of papers produced by Robert Mercaş. 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 Robert Mercaş. The network helps show where Robert Mercaş may publish in the future.
Co-authors
The 21 scholars most cited alongside Robert Mercaş, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 21 | |
| 2 | 2007 | 15 | |
| 3 | 2008 | 10 | |
| 4 | 2018 | 10 | |
| 5 | 2013 | 10 | |
| 6 | 2008 | 6 | |
| 7 | 2011 | 6 | |
| 8 | 2015 | 6 | |
| 9 | 2014 | 6 | |
| 10 | 2010 | 5 | |
| 11 | 2009 | 5 | |
| 12 | 2014 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2008 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2014 | 1 |
About Robert Mercaş
Robert Mercaş is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Algebra and Number Theory and Infectious Diseases, having authored 32 papers that have together received 127 indexed citations. Recurring topics across this work include semigroups and automata theory (28 papers), Algorithms and Data Compression (25 papers), DNA and Biological Computing (19 papers), Natural Language Processing Techniques (6 papers), Machine Learning and Algorithms (5 papers), Evolutionary Algorithms and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers) and Advanced Algebra and Logic (2 papers). The work is most often cited by research in Computational Theory and Mathematics (95 citations), Artificial Intelligence (96 citations), Molecular Biology (81 citations), Ecological Modeling (2 citations) and Hardware and Architecture (3 citations). Robert Mercaş has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Florín Manea, F. Blanchet-Sadri, Solon P. Pissis, Nadia Pisanti, Costas S. Iliopoulos, Dirk Nowotka, Henning Fernau, Markus L. Schmid, Roberto Grossi and Maxime Crochemore. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, Information and Computation, Information Sciences and Journal of Computer and System 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.