Marta Simeoni

1.4k total citations · 1 hit paper
25 papers, 694 citations indexed

About

Marta Simeoni is a scholar working on Molecular Biology, Artificial Intelligence and Software. According to data from OpenAlex, Marta Simeoni has authored 25 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Artificial Intelligence and 8 papers in Software. Recurrent topics in Marta Simeoni's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (6 papers) and Software System Performance and Reliability (5 papers). Marta Simeoni is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (6 papers) and Software System Performance and Reliability (5 papers). Marta Simeoni collaborates with scholars based in Italy, Germany and Spain. Marta Simeoni's co-authors include Simonetta Balsamo, Paola Inverardi, Antinisca Di Marco, Paolo Baldan, Nicoletta Cocco, Marco Bernardo, Alberto Policriti, Bud Mishra, Marco Antoniotti and Carla Piazza and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Marta Simeoni

24 papers receiving 621 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Model-based performance prediction in software development: a survey

2004 460 citations Simonetta Balsamo, Antinisca Di Marco et al. IEEE Transactions on Software Engineering profile →

Peers

Marta Simeoni

CNC

AI

SOFTW

IS

MB

Robert R. Henry United States

Yu Qu China

Bernd Mahr Germany

Shin Hwei Tan China

Cu Nguyen Italy

Rinus Plasmeijer Netherlands

Pierre McKenzie Canada

Giorgio Delzanno Italy

Nick Mitchell United States

István Gergely Czibula Romania

Robert R. Henry United States

Marta Simeoni

329 ×0.7

CNC

213 ×0.6

AI

116 ×0.4

SOFTW

246 ×1.0

IS

53 ×0.5

MB

Citations per year, relative to Marta Simeoni Marta Simeoni (= 1×) peers Robert R. Henry

Countries citing papers authored by Marta Simeoni

Since Specialization

Citations

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

Fields of papers citing papers by Marta Simeoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Simeoni

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Linciano, Sara, E.J. Will, Shiyu Chen, et al.. (2025). Screening macrocyclic peptide libraries by yeast display allows control of selection process and affinity ranking. Nature Communications. 16(1). 5367–5367. 2 indexed citations

2.

Rocchesso, Davide, et al.. (2025). Spatiotemporal characterisation of underwater noise through semantic trajectories. GeoInformatica. 29(3). 845–876.

3.

Giacometti, Achille, et al.. (2023). Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins. BMC Bioinformatics. 24(1). 336–336. 4 indexed citations

4.

Machado, Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, et al.. (2022). From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. GeoInformatica. 26(4). 551–579. 11 indexed citations

5.

Cocco, Nicoletta, Mercè Llabrés, Mariana Reyes‐Prieto, & Marta Simeoni. (2021). MetNet: A two-level approach to reconstructing and comparing metabolic networks. PLoS ONE. 16(2). e0246962–e0246962. 1 indexed citations

6.

Zamuner, Stefano, Margherita Marchi, Erika Salvi, et al.. (2020). Computational pipeline to probe NaV1.7 gain-of-function variants in neuropathic painful syndromes. Scientific Reports. 10(1). 17930–17930. 5 indexed citations

7.

Baldan, Paolo, Martina Bocci, Daniele Brigolin, et al.. (2018). Petri Nets for Modelling and Analysing Trophic Networks. ARCA (Università Ca' Foscari Venezia). 4 indexed citations

8.

Rova, Silvia, Patrick Meire, Felix Müller, Marta Simeoni, & Fabio Pranovi. (2018). A Petri net modeling approach to explore the temporal dynamics of the provision of multiple ecosystem services. The Science of The Total Environment. 655. 1047–1061. 13 indexed citations

9.

Llabrés, Mercè, et al.. (2014). MP-Align: alignment of metabolic pathways. BMC Systems Biology. 8(1). 58–58. 10 indexed citations

10.

Baldan, Paolo, Nicoletta Cocco, & Marta Simeoni. (2012). Comparison of Metabolic Pathways by Considering Potential Fluxes. ARCA (Università Ca' Foscari Venezia). 852. 2–17. 6 indexed citations

11.

Baldan, Paolo, et al.. (2010). Petri nets for modelling metabolic pathways: a survey. Natural Computing. 9(4). 955–989. 65 indexed citations

12.

Antoniotti, Marco, Carla Piazza, Alberto Policriti, Marta Simeoni, & Bud Mishra. (2004). Taming the complexity of biochemical models through bisimulation and collapsing: theory and practice. Theoretical Computer Science. 325(1). 45–67. 27 indexed citations

13.

Balsamo, Simonetta, Antinisca Di Marco, Paola Inverardi, & Marta Simeoni. (2004). Model-based performance prediction in software development: a survey. IEEE Transactions on Software Engineering. 30(5). 295–310. 460 indexed citations breakdown →

14.

Balsamo, Simonetta, Antinisca Di Marco, Paola Inverardi, & Marta Simeoni. (2002). Software performance: state of the art and perspectives. 6 indexed citations

15.

Simeoni, Marta, et al.. (2002). Formal Software Specification with Refinements and Modules of Typed Graph Transformation Systems. Journal of Computer and System Sciences. 64(2). 171–218. 14 indexed citations

16.

Simeoni, Marta. (2002). An Abstract Module Concept for Graph Transformation Systems. Electronic Notes in Theoretical Computer Science. 51. 290–303. 1 indexed citations

17.

Balsamo, Simonetta, Marco Bernardo, & Marta Simeoni. (2002). Combining stochastic process algebras and queueing networks for software architecture analysis. CINECA IRIS Institutional Research information system (University of Urbino). 3 indexed citations

18.

Simeoni, Marta, et al.. (2001). Deriving Performance Models from Software Architecture Specifications. ARCA (Università Ca' Foscari Venezia). 841–845. 12 indexed citations

19.

Simeoni, Marta, et al.. (2001). On Transforming UML models into performance models. ARCA (Università Ca' Foscari Venezia). 16 indexed citations

20.

Simeoni, Marta, et al.. (1999). Cooperating Graph Grammar Systems. Lasers in Medical Science. 24(5). 193–217. 4 indexed citations

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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