Barbara Catania
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Security and Verification in Computing
- Semantic Web and Ontologies
Papers in
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- Advanced Database Systems and Queries 39
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- Semantic Web and Ontologies 23
- Co-authors
- Elisa Bertino (37 shared papers)Paolo Perlasca (7 shared papers)Maria Luisa Damiani (3 shared papers)Elena Ferrari (6 shared papers)Stéphane Bressan (2 shared papers)Valeriano Vinci (12 shared papers)Marco Klinger (11 shared papers)Fabio Caviggioli (12 shared papers)
In The Last Decade
Barbara Catania
85 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Signal Processing 249
- Artificial Intelligence 726
- Computer Networks and Communications 508
- Rehabilitation 132
- Information Systems 369
Countries citing papers authored by Barbara Catania
This map shows the geographic impact of Barbara Catania'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 Barbara Catania with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Catania more than expected).
Fields of papers citing papers by Barbara Catania
This network shows the impact of papers produced by Barbara Catania. 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 Barbara Catania. The network helps show where Barbara Catania may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Catania, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 228 | |
| 2 | 2013 | 171 | |
| 3 | 2003 | 117 | |
| 4 | 2007 | 101 | |
| 5 | Introduction to Database Systems | 2005 | 94 |
| 6 | 1997 | 83 | |
| 7 | 2014 | 78 | |
| 8 | 2015 | 45 | |
| 9 | Intelligent database systems | 2000 | 42 |
| 10 | 2001 | 38 | |
| 11 | 2001 | 36 | |
| 12 | 2005 | 30 | |
| 13 | 2019 | 28 | |
| 14 | 2003 | 26 | |
| 15 | 2016 | 22 | |
| 16 | 1997 | 21 | |
| 17 | 2017 | 19 | |
| 18 | 1998 | 17 | |
| 19 | 2004 | 15 | |
| 20 | 2005 | 15 |
About Barbara Catania
Barbara Catania is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Surgery, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (39 papers), Data Management and Algorithms (25 papers), Semantic Web and Ontologies (23 papers), Data Mining Algorithms and Applications (11 papers), Access Control and Trust (8 papers), Geographic Information Systems Studies (7 papers), Service-Oriented Architecture and Web Services (7 papers) and Breast Implant and Reconstruction (7 papers). The work is most often cited by research in Signal Processing (249 citations), Artificial Intelligence (726 citations), Computer Networks and Communications (508 citations), Rehabilitation (132 citations) and Information Systems (369 citations). Barbara Catania has collaborated with scholars based in Italy, France and Greece. Frequent co-authors include Elisa Bertino, Paolo Perlasca, Maria Luisa Damiani, Elena Ferrari, Stéphane Bressan, Valeriano Vinci, Marco Klinger, Fabio Caviggioli, Luca Maione and Barbara Banzatti. Their work appears in journals such as Aesthetic Plastic Surgery, ACM Transactions on Information and System Security, IEEE Internet Computing, Data & Knowledge Engineering and Information Systems.
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.