R. Barbera
- Nuclear and High Energy Physics top 10%
- Computer Networks and Communications top 5%
- Information Systems and Management top 2%
- Information Systems top 10%
- Atomic and Molecular Physics, and Optics
- Topics
- Distributed and Parallel Computing Systems (38 papers)Scientific Computing and Data Management (30 papers)Nuclear physics research studies (27 papers)
- Cited by
- Information Systems and ManagementNuclear and High Energy PhysicsComputer Networks and Communications
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
R. Barbera
91 papers receiving 475 citations
Peers
Comparison fields: 5 of 78
- Nuclear and High Energy Physics 244
- Computer Networks and Communications 171
- Information Systems and Management 159
- Information Systems 77
- Atomic and Molecular Physics, and Optics 47
Countries citing papers authored by R. Barbera
This map shows the geographic impact of R. Barbera'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 R. Barbera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Barbera more than expected).
Fields of papers citing papers by R. Barbera
This network shows the impact of papers produced by R. Barbera. 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 R. Barbera. The network helps show where R. Barbera may publish in the future.
Co-authorship network of co-authors of R. Barbera
This figure shows the co-authorship network connecting the top 25 collaborators of R. Barbera. A scholar is included among the top collaborators of R. Barbera 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 R. Barbera. R. Barbera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Furthering the exploration of language diversity and pan-European culture: the DARIAH-CC Science gateway for lexicographers | 0 |
| 2 | 3 | |
| 3 | The EarthServer project: Exploiting Identity Federations, Science Gateways and Social and Mobile Clients for Big Earth Data Analysis | 1 |
| 4 | Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science | 3 |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | GRID infrastructures as catalysts for development on e-Science: experiences in the Mediterranean | 2 |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 11 | |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 2 |
About R. Barbera
R. Barbera is a scholar working on Information Systems and Management, Nuclear and High Energy Physics and Computer Networks and Communications, having authored 98 papers that have together received 511 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (38 papers), Scientific Computing and Data Management (30 papers) and Nuclear physics research studies (27 papers). The work is most often cited by research in Information Systems and Management (159 citations), Nuclear and High Energy Physics (244 citations) and Computer Networks and Communications (171 citations). R. Barbera has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include A. Palmeri, G.S. Pappalardo, F. Riggi, A. Badalà, Giuseppe La Rocca, A. Russo, G. Russo, J.L. Laville, G. Bizard and Marco Fargetta. Their work appears in journals such as Physical Review Letters, Physics Letters B and BMC 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.