Giorgio Patrini
- Artificial Intelligence
- Management Science and Operations Research
- Economics and Econometrics
- Control and Systems Engineering
- Computer Networks and Communications
- Co-authors
- Richard NockTibério S. CaetanoMarco RoccoNicola GattiSofia CeppiArik FriedmanTüomas SandholmBrian Thorne
- Topics
- Game Theory and Applications (3 papers)Privacy-Preserving Technologies in Data (3 papers)Data Quality and Management (2 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchStatistics and Probability
- Journals
- ANU Open Research (Australian National University)arXiv (Cornell University)Adaptive Agents and Multi-Agents Systems
- Partner nations
- AustraliaItalyUnited States
In The Last Decade
Giorgio Patrini
6 papers receiving 48 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 30
- Management Science and Operations Research 10
- Economics and Econometrics 6
- Control and Systems Engineering 5
- Computer Networks and Communications 4
Countries citing papers authored by Giorgio Patrini
This map shows the geographic impact of Giorgio Patrini'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 Giorgio Patrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Patrini more than expected).
Fields of papers citing papers by Giorgio Patrini
This network shows the impact of papers produced by Giorgio Patrini. 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 Giorgio Patrini. The network helps show where Giorgio Patrini may publish in the future.
Co-authorship network of co-authors of Giorgio Patrini
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Patrini. A scholar is included among the top collaborators of Giorgio Patrini 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 Giorgio Patrini. Giorgio Patrini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Impact of Record Linkage on Learning from Feature Partitioned Data | 3 |
| 2 | Fast learning from distributed datasets without entity matching | 0 |
| 3 | 2 | |
| 4 | Almost) No Label No Cry | 31 |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 6 |
About Giorgio Patrini
Giorgio Patrini is a scholar working on Management Science and Operations Research, Artificial Intelligence and Safety Research, having authored 7 papers that have together received 50 indexed citations. Recurring topics across this work include Game Theory and Applications (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (30 citations), Management Science and Operations Research (10 citations) and Statistics and Probability (2 citations). Giorgio Patrini has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include Richard Nock, Tibério S. Caetano, Marco Rocco, Nicola Gatti, Sofia Ceppi, Arik Friedman, Tüomas Sandholm, Brian Thorne, Stephen Hardy and Wilko Henecka. Their work appears in journals such as ANU Open Research (Australian National University), arXiv (Cornell University) and Adaptive Agents and Multi-Agents 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.