Mario Cannataro
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- Scientific Computing and Data Management 27
- Information Systems top 1%
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- Distributed and Parallel Computing Systems 26
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 15
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 90
- Gene expression and cancer classification 47
- Biomedical Text Mining and Ontologies 26
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- Computational Drug Discovery Methods 16
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- Complex Network Analysis Techniques 15
- Co-authors
- Pietro Hiram GuzziPierangelo VeltriDomenico TaliaGiuseppe AgapitoBarbara CalabreseMarianna MilanoChiara ZuccoMarco Mina
- Journals
- SHILAP Revista de lepidopterología (3 papers)Bioinformatics (1 paper)PLoS ONE (2 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Mario Cannataro
220 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 177
- Information Systems and Management 283
- Information Systems 626
- Computer Networks and Communications 633
- Artificial Intelligence 739
- Molecular Biology 1.4k
Countries citing papers authored by Mario Cannataro
This map shows the geographic impact of Mario Cannataro'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 Mario Cannataro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Cannataro more than expected).
Fields of papers citing papers by Mario Cannataro
This network shows the impact of papers produced by Mario Cannataro. 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 Mario Cannataro. The network helps show where Mario Cannataro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Cannataro, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 13 | |
| 17 | 2010 | 30 | |
| 18 | Geomedica: a web portal for managing and querying clinical and biological data (Demo Paper). | 2010 | 2 |
| 19 | Ontology-based Design of Bioinformatics Workflows on PROTEUS | 2004 | 2 |
| 20 | Proceedings, International Conference on Information Technology: Computers and Communications, April 28-30, 2003, Las Vegas, Nevada | 2003 | 1 |
About Mario Cannataro
Mario Cannataro is a scholar working on Information Systems and Management, Computer Networks and Communications and Molecular Biology, having authored 244 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (90 papers), Gene expression and cancer classification (47 papers), Scientific Computing and Data Management (27 papers), Distributed and Parallel Computing Systems (26 papers), Biomedical Text Mining and Ontologies (26 papers), Computational Drug Discovery Methods (16 papers), Complex Network Analysis Techniques (15 papers) and Semantic Web and Ontologies (15 papers). The work is most often cited by research in Information Systems and Management (283 citations), Information Systems (626 citations) and Computer Networks and Communications (633 citations). Mario Cannataro has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Pietro Hiram Guzzi, Pierangelo Veltri, Domenico Talia, Giuseppe Agapito, Barbara Calabrese, Marianna Milano, Chiara Zucco, Marco Mina, Andrea Pugliese and Pierfrancesco Tassone. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.