R. Cecchini
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Peer-to-Peer Network Technologies
- Distributed systems and fault tolerance
Papers in
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- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
- Advanced Database Systems and Queries 1
- Co-authors
- L dell’Agnello (3 shared papers)Roberto Alfieri (2 shared papers)Ákos Frohner (3 shared papers)F. Spataro (3 shared papers)Vincenzo Ciaschini (3 shared papers)A. Gianoli (1 shared paper)M. Tarlini (1 shared paper)Alberto Del Bimbo (2 shared papers)
- Journals
- Journal of Grid Computing (1 paper)Future Generation Computer Systems (1 paper)Computer Applications in Engineering Education (1 paper)Pattern Recognition Letters (1 paper)Computer Physics Communications (1 paper)
- Partner nations
- ItalyHungarySwitzerland
In The Last Decade
R. Cecchini
7 papers receiving 419 citations
Peers
Comparison fields: 5 of 38
- Information Systems and Management 155
- Computer Networks and Communications 408
- Hardware and Architecture 65
- Information Systems 146
- Sociology and Political Science 123
Countries citing papers authored by R. Cecchini
This map shows the geographic impact of R. Cecchini'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. Cecchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Cecchini more than expected).
Fields of papers citing papers by R. Cecchini
This network shows the impact of papers produced by R. Cecchini. 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. Cecchini. The network helps show where R. Cecchini may publish in the future.
Co-authors
The 17 scholars most cited alongside R. Cecchini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 279 | |
| 2 | 2005 | 175 | |
| 3 | 2004 | 10 | |
| 4 | 1993 | 2 | |
| 5 | 1993 | 1 | |
| 6 | 1990 | 1 | |
| 7 | Object classification and image interpretation with an object-oriented system | 1989 | 1 |
About R. Cecchini
R. Cecchini is a scholar working on Computer Networks and Communications, Mathematical Physics, Geometry and Topology, Information Systems and Management and Algebra and Number Theory, having authored 7 papers that have together received 469 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (2 papers), Advanced Topics in Algebra (1 paper), Scientific Computing and Data Management (1 paper), Experimental Learning in Engineering (1 paper), Data Management and Algorithms (1 paper), Advanced Database Systems and Queries (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Information Systems and Management (155 citations), Computer Networks and Communications (408 citations), Hardware and Architecture (65 citations), Information Systems (146 citations) and Sociology and Political Science (123 citations). R. Cecchini has collaborated with scholars based in Italy, Hungary and Switzerland. Frequent co-authors include L dell’Agnello, Roberto Alfieri, Ákos Frohner, F. Spataro, Vincenzo Ciaschini, A. Gianoli, M. Tarlini, Alberto Del Bimbo, A. McNab and Jens Jensen. Their work appears in journals such as Journal of Grid Computing, Future Generation Computer Systems, Computer Applications in Engineering Education, Pattern Recognition Letters and Computer Physics Communications.
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.