Alexandru Mateescu

1.2k citations
46 papers · 452 indexed · h-index 13
Topics
semigroups and automata theory (27 papers)DNA and Biological Computing (19 papers)Algorithms and Data Compression (17 papers)
Partner nations
RomaniaFinlandSpain

In The Last Decade

Alexandru Mateescu

44 papers receiving 421 citations

Peers

Alexandru Mateescu
Comparison fields: 5 of 36
  • Computational Theory and Mathematics 385
  • Artificial Intelligence 338
  • Molecular Biology 314
  • Mechanical Engineering 24
  • Discrete Mathematics and Combinatorics 19
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Countries citing papers authored by Alexandru Mateescu

Since Specialization
Citations

This map shows the geographic impact of Alexandru Mateescu'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 Alexandru Mateescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandru Mateescu more than expected).

Fields of papers citing papers by Alexandru Mateescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandru Mateescu. 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 Alexandru Mateescu. The network helps show where Alexandru Mateescu may publish in the future.

Co-authorship network of co-authors of Alexandru Mateescu

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandru Mateescu. A scholar is included among the top collaborators of Alexandru Mateescu 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 Alexandru Mateescu. Alexandru Mateescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
On a Connection Between Cooperating Distributed Grammar Systems and Basic Process Algebra
1
2 44
3
Factorizations of languages and commutativity conditions
15
4 32
5 6
6
Many-valued Truth Functions, Cerny''s Conjecture and Road Coloring
16
7
CD grammar systems and trajectories
1
8
Hybrid Grammars: The Chomsky-Marcus Case.
1
9 51
10
On the Decomposition of Finite Languages
25
11 23
12 3
13
On Representing RE Languages by One-Sided Internal Contextual Languages.
3
14 1
15
Parallel Composition of Words with Re-entrant Symbols
1
16
Rational and Algebraic Languages with Distributed Catenation.
1
17 1
18 1
19
Special families of matrix languages and decidable problems
2
20
Further remarks on fully initial grammars
1

About Alexandru Mateescu

Alexandru Mateescu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Algebra and Number Theory, having authored 46 papers that have together received 452 indexed citations. Recurring topics across this work include semigroups and automata theory (27 papers), DNA and Biological Computing (19 papers) and Algorithms and Data Compression (17 papers). The work is most often cited by research in Computational Theory and Mathematics (385 citations), Artificial Intelligence (338 citations) and Discrete Mathematics and Combinatorics (19 citations). Alexandru Mateescu has collaborated with scholars based in Romania, Finland and Spain. Frequent co-authors include Arto Salomaa, Sheng Yü, Grzegorz Rozenberg, Carlos Martı́n-Vide, Kai Salomaa, A. Salomaa, Gheorghe Pǎun, Víctor Mitrana, Lila Kari and Manfred Kudlek. Their work appears in journals such as Electrochimica Acta, Desalination and Theoretical Computer Science.

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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