Donatello Santoro
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Co-authors
- Giansalvatore MeccaPaolo PapottiFloris GeertsPatricia C. ArocenaRenée J. MillerBoris GlavicSalvatore RaunichGuoliang Li
- Topics
- Data Quality and Management (20 papers)Advanced Database Systems and Queries (17 papers)Semantic Web and Ontologies (10 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputer Networks and Communications
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Donatello Santoro
28 papers receiving 427 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 331
- Management Science and Operations Research 292
- Computer Networks and Communications 189
- Information Systems 153
- Signal Processing 74
Countries citing papers authored by Donatello Santoro
This map shows the geographic impact of Donatello Santoro'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 Donatello Santoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donatello Santoro more than expected).
Fields of papers citing papers by Donatello Santoro
This network shows the impact of papers produced by Donatello Santoro. 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 Donatello Santoro. The network helps show where Donatello Santoro may publish in the future.
Co-authorship network of co-authors of Donatello Santoro
This figure shows the co-authorship network connecting the top 25 collaborators of Donatello Santoro. A scholar is included among the top collaborators of Donatello Santoro 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 Donatello Santoro. Donatello Santoro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 22 | |
| 7 | 39 | |
| 8 | Benchmarking Data Curation Systems | 9 |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 54 | |
| 14 | 22 | |
| 15 | Mapping and Cleaning: the LLUNATIC Way | 2 |
| 16 | 5 | |
| 17 | 25 | |
| 18 | Advanced Techniques for Mapping and Cleaning | 1 |
| 19 | 11 | |
| 20 | A Short History of Schema Mapping Systems | 1 |
About Donatello Santoro
Donatello Santoro is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Health Informatics, having authored 32 papers that have together received 458 indexed citations. Recurring topics across this work include Data Quality and Management (20 papers), Advanced Database Systems and Queries (17 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Management Science and Operations Research (292 citations), Artificial Intelligence (331 citations) and Computer Networks and Communications (189 citations). Donatello Santoro has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giansalvatore Mecca, Paolo Papotti, Floris Geerts, Patricia C. Arocena, Renée J. Miller, Boris Glavic, Salvatore Raunich, Guoliang Li, Bruno Marnette and Nan Tang. Their work appears in journals such as Applied Sciences, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.