Claudia d’Amato
- Artificial Intelligence top 1%
- Semantic Web and Ontologies 66
- Natural Language Processing Techniques 13
- Advanced Graph Neural Networks 12
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 13
- Data Mining Algorithms and Applications 11
- Signal Processing top 5%
- Data Management and Algorithms 15
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- Rough Sets and Fuzzy Logic 22
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- Biomedical Text Mining and Ontologies 19
- Co-authors
- Nicola FanizziFloriana EspositoSteffen StaabAntoine ZimmermannEva BlomqvistMichael CochezJuan SequedaAxel-Cyrille Ngonga Ngomo
- Journals
- SHILAP Revista de lepidopterología (1 paper)ACM Computing Surveys (1 paper)Future Generation Computer Systems (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Claudia d’Amato
83 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 986
- Management Science and Operations Research 232
- Information Systems 342
- Signal Processing 121
- Information Systems and Management 63
Countries citing papers authored by Claudia d’Amato
This map shows the geographic impact of Claudia d’Amato'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 Claudia d’Amato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia d’Amato more than expected).
Fields of papers citing papers by Claudia d’Amato
This network shows the impact of papers produced by Claudia d’Amato. 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 Claudia d’Amato. The network helps show where Claudia d’Amato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia d’Amato, 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 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | Knowledge Graphsbreakdown → | 2021 | 632 |
| 5 | 2017 | 5 | |
| 6 | 2015 | 58 | |
| 7 | Learning to propagate knowledge in web ontologies | 2014 | 2 |
| 8 | Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations | 2013 | 2 |
| 9 | A graph regularization based approach to transductive class-membership prediction | 2012 | 1 |
| 10 | Data-driven logical reasoning | 2012 | 3 |
| 11 | Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships. | 2012 | 2 |
| 12 | Learning terminological naïve bayesian classifiers under different assumptions on missing knowledge | 2011 | 1 |
| 13 | Evidential nearest-neighbors classification for inductive ABox reasoning | 2009 | 1 |
| 14 | 2009 | 3 | |
| 15 | A Note on the Evaluation of Inductive Concept Classification Procedures. | 2008 | 4 |
| 16 | Approximate measures of semantic dissimilarity under uncertainty | 2007 | 1 |
| 17 | Induction of Optimal Semi-distances for Individuals based on Feature Sets. | 2007 | 10 |
| 18 | Reasoning by Analogy in Description Logics Through Instance-based Learning. | 2006 | 14 |
| 19 | A Semantic Dissimilarity Measure for Concept Descriptions in Ontological Knowledge Bases | 2005 | 2 |
| 20 | A Dissimilarity Measure for the ALC Description Logic. | 2005 | 2 |
About Claudia d’Amato
Claudia d’Amato is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (66 papers), Rough Sets and Fuzzy Logic (22 papers), Biomedical Text Mining and Ontologies (19 papers), Data Management and Algorithms (15 papers), Service-Oriented Architecture and Web Services (13 papers), Natural Language Processing Techniques (13 papers), Advanced Graph Neural Networks (12 papers) and Data Mining Algorithms and Applications (11 papers). The work is most often cited by research in Artificial Intelligence (986 citations), Management Science and Operations Research (232 citations) and Information Systems (342 citations). Claudia d’Amato has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Nicola Fanizzi, Floriana Esposito, Steffen Staab, Antoine Zimmermann, Eva Blomqvist, Michael Cochez, Juan Sequeda, Axel-Cyrille Ngonga Ngomo, Sebastian Neumaier and Sabbir M. Rashid. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Future Generation Computer 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.