Marta Simeoni
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Software top 2%
- Information Systems top 5%
- Molecular Biology
- Co-authors
- Simonetta BalsamoPaola InverardiAntinisca Di MarcoPaolo BaldanNicoletta CoccoMarco BernardoAlberto PolicritiBud Mishra
- Topics
- Microbial Metabolic Engineering and Bioproduction (7 papers)Bioinformatics and Genomic Networks (6 papers)Software System Performance and Reliability (5 papers)
In The Last Decade
Marta Simeoni
24 papers receiving 621 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 472
- Artificial Intelligence 382
- Software 283
- Information Systems 251
- Molecular Biology 99
Countries citing papers authored by Marta Simeoni
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 10 | |
| 10 | Comparison of Metabolic Pathways by Considering Potential Fluxes | 6 |
| 11 | 65 | |
| 12 | 27 | |
| 13 | Model-based performance prediction in software development: a surveybreakdown → | 460 |
| 14 | Software performance: state of the art and perspectives | 6 |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | Deriving Performance Models from Software Architecture Specifications | 12 |
| 19 | On Transforming UML models into performance models | 16 |
| 20 | 4 |
About Marta Simeoni
Marta Simeoni is a scholar working on Software, Developmental Biology and Artificial Intelligence, having authored 25 papers that have together received 694 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (6 papers) and Software System Performance and Reliability (5 papers). The work is most often cited by research in Software (283 citations), Computer Networks and Communications (472 citations) and Artificial Intelligence (382 citations). Marta Simeoni has collaborated with scholars based in Italy, Germany and Spain. Frequent 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. Their work appears in journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.
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.