Salvatore Ruggieri
- Artificial Intelligence top 0.2%
- Safety Research top 0.2%
- Information Systems top 1%
- Molecular Biology
- Health Informatics top 0.2%
- Co-authors
- Franco TuriniDino PedreschiRiccardo GuidottiFosca GiannottiAnna MonrealeAndrea RomeiGabriele MugnaiLido Calorini
- Topics
- Data Mining Algorithms and Applications (16 papers)Logic, programming, and type systems (13 papers)Imbalanced Data Classification Techniques (12 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Salvatore Ruggieri
119 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Artificial Intelligence 3.0k
- Safety Research 874
- Information Systems 576
- Molecular Biology 375
- Health Informatics 375
Countries citing papers authored by Salvatore Ruggieri
This map shows the geographic impact of Salvatore Ruggieri'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 Salvatore Ruggieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore Ruggieri more than expected).
Fields of papers citing papers by Salvatore Ruggieri
This network shows the impact of papers produced by Salvatore Ruggieri. 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 Salvatore Ruggieri. The network helps show where Salvatore Ruggieri may publish in the future.
Co-authorship network of co-authors of Salvatore Ruggieri
This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore Ruggieri. A scholar is included among the top collaborators of Salvatore Ruggieri 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 Salvatore Ruggieri. Salvatore Ruggieri 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 | 26 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 27 | |
| 8 | A survey of methods for explaining black box modelsbreakdown → | 2443 |
| 9 | Complete Search for Feature Selection in Decision Trees | 16 |
| 10 | Enumerating distinct decision trees | 2 |
| 11 | Using t-closeness anonymity to control for non-discrimination | 8 |
| 12 | Learning from polyhedral sets | 3 |
| 13 | 2 | |
| 14 | Computational complexity of inclusion queries over polyhedral sets | 1 |
| 15 | Porting Decision Tree Building and Pruning Algorithms to Multicore using FastFlow | 2 |
| 16 | 30 | |
| 17 | 14 | |
| 18 | On linguistic quality of natural language requirements | 5 |
| 19 | Intelligent multimedia presentation systems : A proposal for a reference model | 4 |
| 20 | Modular Verification of Logic Programs | 2 |
About Salvatore Ruggieri
Salvatore Ruggieri is a scholar working on Biochemistry, Artificial Intelligence and Computational Theory and Mathematics, having authored 123 papers that have together received 5.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (16 papers), Logic, programming, and type systems (13 papers) and Imbalanced Data Classification Techniques (12 papers). The work is most often cited by research in Health Informatics (375 citations), Safety Research (874 citations) and Artificial Intelligence (3.0k citations). Salvatore Ruggieri has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Franco Turini, Dino Pedreschi, Riccardo Guidotti, Fosca Giannotti, Anna Monreale, Andrea Romei, Gabriele Mugnai, Lido Calorini, José M. Álvarez and Antonella Mannini. Their work appears in journals such as Stroke, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.