Silvana Rossetto

549 citations
21 papers · 366 indexed · h-index 11
Topics
Parallel Computing and Optimization Techniques (5 papers)Energy Efficient Wireless Sensor Networks (5 papers)RNA and protein synthesis mechanisms (5 papers)
Partner nations
BrazilAustraliaItaly

In The Last Decade

Silvana Rossetto

20 papers receiving 354 citations

Peers

Silvana Rossetto
Comparison fields: 5 of 91
  • Molecular Biology 135
  • Computer Networks and Communications 124
  • Artificial Intelligence 32
  • Biomedical Engineering 32
  • Genetics 30
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Jeff Daily United States
Qilong Feng China
Kui Fang China
Yu Xiang United States
R. Aruna India
Bożena Małysiak-Mrozek Poland
Suzanne J. Matthews United States
Chang‐Ho Kim South Korea
Gangman Yi South Korea
Brandon Malone United States
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Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by Silvana Rossetto

Since Specialization
Citations

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

Fields of papers citing papers by Silvana Rossetto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvana Rossetto

This figure shows the co-authorship network connecting the top 25 collaborators of Silvana Rossetto. A scholar is included among the top collaborators of Silvana Rossetto 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 Silvana Rossetto. Silvana Rossetto 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 0
2 8
3 29
4 9
5 31
6 12
7 52
8 19
9 8
10 34
11 32
12 7
13 5
14 49
15 1
16 4
17 3
18 5
19 10
20 15

About Silvana Rossetto

Silvana Rossetto is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Computer Networks and Communications (124 citations), Hardware and Architecture (19 citations) and Molecular Biology (135 citations). Silvana Rossetto has collaborated with scholars based in Brazil, Australia and Italy. Frequent co-authors include Tatiana Domitrovic, Fernando L. Palhano, Paolo Costa, Gian Pietro Picco, Claudio M. de Farias, Flávia C. Delicato, Luci Pìrmez, Noemí Rodríguez, Rodrigo Pirmez and Luiz Fernando Rust da Costa Carmo. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Scientific Reports.

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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