Sergio Maffioletti
- Molecular Biology
- Computer Networks and Communications
- Information Systems
- Information Systems and Management top 10%
- Artificial Intelligence
- Co-authors
- Michał OkoniewskiAlicja PacholewskaAntonio MessinaRiccardo MurriPeter KunsztCéline HernandezAlexandre MasselotRon D. Appel
- Topics
- Scientific Computing and Data Management (7 papers)Distributed and Parallel Computing Systems (6 papers)Distributed systems and fault tolerance (3 papers)
- Cited by
- Information Systems and ManagementComputational MathematicsComputer Networks and Communications
- Partner nations
- SwitzerlandPoland
In The Last Decade
Sergio Maffioletti
15 papers receiving 139 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 67
- Computer Networks and Communications 53
- Information Systems 34
- Information Systems and Management 34
- Artificial Intelligence 33
Countries citing papers authored by Sergio Maffioletti
This map shows the geographic impact of Sergio Maffioletti'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 Sergio Maffioletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Maffioletti more than expected).
Fields of papers citing papers by Sergio Maffioletti
This network shows the impact of papers produced by Sergio Maffioletti. 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 Sergio Maffioletti. The network helps show where Sergio Maffioletti may publish in the future.
Co-authorship network of co-authors of Sergio Maffioletti
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Maffioletti. A scholar is included among the top collaborators of Sergio Maffioletti 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 Sergio Maffioletti. Sergio Maffioletti 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 | 5 | |
| 3 | 71 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | gcodeml: a Grid-enabled tool for detecting positive selection in biological evolution. | 6 |
| 9 | GridCertLib: a Single Sign-on Solution for Grid Web Portals | 0 |
| 10 | 12 | |
| 11 | GridCertLib: Use Shibboleth to Access the Grid from Web Portals | 1 |
| 12 | 10 | |
| 13 | 6 | |
| 14 | UBIDEV: a homogeneous service framework for pervasive computing environments | 2 |
| 15 | 5 | |
| 16 | 14 |
About Sergio Maffioletti
Sergio Maffioletti is a scholar working on Information Systems and Management, Computer Networks and Communications and Geology, having authored 16 papers that have together received 150 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (7 papers), Distributed and Parallel Computing Systems (6 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Information Systems and Management (34 citations), Computational Mathematics (2 citations) and Computer Networks and Communications (53 citations). Sergio Maffioletti has collaborated with scholars based in Switzerland and Poland. Frequent co-authors include Michał Okoniewski, Alicja Pacholewska, Antonio Messina, Riccardo Murri, Peter Kunszt, Céline Hernandez, Alexandre Masselot, Ron D. Appel, Frédérique Lisacek and Patricia Hernandez. Their work appears in journals such as Bioinformatics, PROTEOMICS and The Journal of Headache and Pain.
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.