Maria Mateescu

464 citations
10 papers · 141 indexed · h-index 5
Topics
Gene Regulatory Network Analysis (9 papers)Microbial Metabolic Engineering and Bioproduction (6 papers)Bioinformatics and Genomic Networks (5 papers)

In The Last Decade

Maria Mateescu

10 papers receiving 132 citations

Peers

Maria Mateescu
Comparison fields: 5 of 37
  • Molecular Biology 120
  • Computational Theory and Mathematics 30
  • Genetics 27
  • Management Science and Operations Research 16
  • Statistical and Nonlinear Physics 13
Replace Hwisang Jeon with:
Hwisang Jeon South Korea
Andre Skusa Germany
Mercedes Pérez Millán Argentina
Yannik Schälte Germany
Russ Harmer France
Vida Ravanmehr United States
Mathilde Noual France
Paul Ruet France
Yonghwa Choi South Korea
Étienne Roquain France
Maria Mateescu relative to Hwisang Jeon South Korea Hwisang Jeon's profile →
Citations per field
00.5×4.3×
Hwisang Jeon · 1×
Citations per year

Countries citing papers authored by Maria Mateescu

Since Specialization
Citations

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

Fields of papers citing papers by Maria Mateescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Mateescu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2
Tail approximation for the chemical master equation
2
3 2
4 53
5 7
6 1
7 23
8 24
9 27
10
Bounded Asynchrony: A Biologically Inspired Notion of Concurrency
1

About Maria Mateescu

Maria Mateescu is a scholar working on Physical and Theoretical Chemistry, Statistics, Probability and Uncertainty and Molecular Biology, having authored 10 papers that have together received 141 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computational Theory and Mathematics (30 citations) and Molecular Biology (120 citations). Maria Mateescu has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Thomas A. Henzinger, Verena Wolf, Jasmin Fisher and Nir Piterman. Their work appears in journals such as Theoretical Computer Science, BMC Systems Biology and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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