Florín Manea
Impact in
-
- semigroups and automata theory
- Cellular Automata and Applications
- Artificial Intelligence top 10%
- Algorithms and Data Compression
- Natural Language Processing Techniques
Papers in
-
- semigroups and automata theory 39
- Cellular Automata and Applications 9
-
- Algorithms and Data Compression 37
- Natural Language Processing Techniques 9
- Machine Learning and Algorithms 6
- Co-authors
- Víctor Mitrana (16 shared papers)Carlos Martı́n-Vide (6 shared papers)Robert Mercaş (11 shared papers)Liviu P. Dinu (2 shared papers)Jürgen Dassow (8 shared papers)Dirk Nowotka (17 shared papers)Paweł Gawrychowski (6 shared papers)Takashi Yokomori (3 shared papers)
In The Last Decade
Florín Manea
63 papers receiving 317 citations
Peers
Comparison fields: 5 of 39
- Computational Theory and Mathematics 182
- Artificial Intelligence 176
- Molecular Biology 235
- Software 11
- Hardware and Architecture 12
Countries citing papers authored by Florín Manea
This map shows the geographic impact of Florín Manea'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 Florín Manea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florín Manea more than expected).
Fields of papers citing papers by Florín Manea
This network shows the impact of papers produced by Florín Manea. 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 Florín Manea. The network helps show where Florín Manea may publish in the future.
Co-authors
The 25 scholars most cited alongside Florín Manea, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 24 | |
| 2 | 2007 | 24 | |
| 3 | 2008 | 23 | |
| 4 | 2006 | 18 | |
| 5 | 2008 | 16 | |
| 6 | 2007 | 16 | |
| 7 | 2008 | 15 | |
| 8 | 2007 | 15 | |
| 9 | 2013 | 10 | |
| 10 | 2009 | 9 | |
| 11 | 2011 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2010 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2017 | 5 | |
| 20 | 2012 | 5 |
About Florín Manea
Florín Manea is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Genetics and Information Systems, having authored 73 papers that have together received 331 indexed citations. Recurring topics across this work include DNA and Biological Computing (43 papers), semigroups and automata theory (39 papers), Algorithms and Data Compression (37 papers), Genome Rearrangement Algorithms (10 papers), Natural Language Processing Techniques (9 papers), Cellular Automata and Applications (9 papers), Machine Learning and Algorithms (6 papers) and Modular Robots and Swarm Intelligence (6 papers). The work is most often cited by research in Computational Theory and Mathematics (182 citations), Artificial Intelligence (176 citations), Molecular Biology (235 citations), Software (11 citations) and Hardware and Architecture (12 citations). Florín Manea has collaborated with scholars based in Germany, Romania and Spain. Frequent co-authors include Víctor Mitrana, Carlos Martı́n-Vide, Robert Mercaş, Liviu P. Dinu, Jürgen Dassow, Dirk Nowotka, Paweł Gawrychowski, Takashi Yokomori, Mario J. Pérez-Jímenez and Maurice Margenstern. Their work appears in journals such as Theoretical Computer Science, International Journal of Foundations of Computer Science, Journal of Computer and System Sciences, Theory of Computing Systems and Discrete Applied Mathematics.
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.