Barbara Catania

165 total papers · 3.0k total citations
94 papers, 1.6k citations indexed

About

Barbara Catania is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Barbara Catania has authored 94 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 40 papers in Artificial Intelligence and 25 papers in Signal Processing. Recurrent topics in Barbara Catania's work include Advanced Database Systems and Queries (39 papers), Data Management and Algorithms (25 papers) and Semantic Web and Ontologies (23 papers). Barbara Catania is often cited by papers focused on Advanced Database Systems and Queries (39 papers), Data Management and Algorithms (25 papers) and Semantic Web and Ontologies (23 papers). Barbara Catania collaborates with scholars based in Italy, France and United States. Barbara Catania's co-authors include Elisa Bertino, Paolo Perlasca, Maria Luisa Damiani, Elena Ferrari, Stéphane Bressan, Fabio Caviggioli, Marco Klinger, Valeriano Vinci, Luca Maione and Barbara Banzatti and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record and Lecture notes in computer science.

In The Last Decade

Barbara Catania

86 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Barbara Catania 729 509 481 370 282 94 1.6k
Walayat Hussain 531 0.7× 407 0.8× 144 0.3× 597 1.6× 145 0.5× 94 1.8k
Gang Liang 291 0.4× 318 0.6× 138 0.3× 100 0.3× 102 0.4× 69 1.3k
Martin Cooper 374 0.5× 636 1.2× 34 0.1× 43 0.1× 404 1.4× 103 2.0k
Yandong Zheng 754 1.0× 205 0.4× 49 0.1× 218 0.6× 11 0.0× 99 1.2k
Michael D. Bond 566 0.8× 875 1.7× 15 0.0× 368 1.0× 95 0.3× 88 2.3k
Antonio Ferrández 471 0.6× 115 0.2× 123 0.3× 177 0.5× 132 0.5× 101 1.6k
Fengwei Wang 538 0.7× 88 0.2× 54 0.1× 150 0.4× 71 0.3× 88 1.4k
Atsushi Kanai 112 0.2× 170 0.3× 55 0.1× 250 0.7× 24 0.1× 162 2.2k
Mitsuaki Akiyama 244 0.3× 445 0.9× 66 0.1× 500 1.4× 105 0.4× 132 1.7k
Øystein Haugen 845 1.2× 587 1.2× 32 0.1× 703 1.9× 43 0.2× 98 1.9k

Countries citing papers authored by Barbara Catania

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Barbara Catania

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Catania. A scholar is included among the top collaborators of Barbara Catania 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 Barbara Catania. Barbara Catania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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