Massimo Cafaro
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Advanced Database Systems and Queries
Papers in
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- Distributed and Parallel Computing Systems 64
- Advanced Data Storage Technologies 26
- Advanced Database Systems and Queries 10
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- Scientific Computing and Data Management 47
- Co-authors
- Giovanni Aloisio (74 shared papers)Italo Epicoco (50 shared papers)Sandro Fiore (44 shared papers)Maria Mirto (37 shared papers)Daniele Lezzi (13 shared papers)Piergiulio Tempesta (3 shared papers)Luca Spogli (6 shared papers)Vincenzo Romano (4 shared papers)
- Journals
- IEEE Access (3 papers)Information Sciences (3 papers)Future Generation Computer Systems (3 papers)Expert Systems with Applications (2 papers)Advances in Space Research (2 papers)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Massimo Cafaro
108 papers receiving 847 citations
Peers
Comparison fields: 5 of 78
- Information Systems and Management 327
- Computer Networks and Communications 603
- Hardware and Architecture 139
- Information Systems 182
- Signal Processing 81
Countries citing papers authored by Massimo Cafaro
This map shows the geographic impact of Massimo Cafaro'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 Massimo Cafaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Cafaro more than expected).
Fields of papers citing papers by Massimo Cafaro
This network shows the impact of papers produced by Massimo Cafaro. 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 Massimo Cafaro. The network helps show where Massimo Cafaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Cafaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2003 | 42 | |
| 3 | 2010 | 36 | |
| 4 | 2002 | 29 | |
| 5 | 2021 | 28 | |
| 6 | 2005 | 24 | |
| 7 | 2011 | 21 | |
| 8 | 2003 | 21 | |
| 9 | 1997 | 20 | |
| 10 | 2002 | 20 | |
| 11 | 2007 | 19 | |
| 12 | 2005 | 19 | |
| 13 | 2005 | 18 | |
| 14 | 2010 | 18 | |
| 15 | 2005 | 17 | |
| 16 | 2015 | 17 | |
| 17 | The GRELC project: Towards GRID-DBMS. | 2004 | 16 |
| 18 | 2002 | 15 | |
| 19 | 2007 | 15 | |
| 20 | 2020 | 13 |
About Massimo Cafaro
Massimo Cafaro is a scholar working on Computer Networks and Communications, Information Systems and Management, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 117 papers that have together received 906 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (64 papers), Scientific Computing and Data Management (47 papers), Advanced Data Storage Technologies (26 papers), Parallel Computing and Optimization Techniques (17 papers), Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (10 papers), Data Mining Algorithms and Applications (10 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Information Systems and Management (327 citations), Computer Networks and Communications (603 citations), Hardware and Architecture (139 citations), Information Systems (182 citations) and Signal Processing (81 citations). Massimo Cafaro has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Giovanni Aloisio, Italo Epicoco, Sandro Fiore, Maria Mirto, Daniele Lezzi, Piergiulio Tempesta, Luca Spogli, Vincenzo Romano, Claudio Cesaroni and Antonio Cicone. Their work appears in journals such as IEEE Access, Information Sciences, Future Generation Computer Systems, Expert Systems with Applications and Advances in Space Research.
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.