Matteo Venanzi
- Computer Science Applications top 1%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Information Systems top 10%
- Sociology and Political Science
- Co-authors
- Nicholas R. JenningsAlex RogersJohn GuiverPushmeet KohliMilad ShokouhiGabriella KazaiCristiano CastelfranchiMichele Piunti
- Topics
- Mobile Crowdsensing and Crowdsourcing (12 papers)Data Stream Mining Techniques (6 papers)Logic, Reasoning, and Knowledge (4 papers)
- Cited by
- Computer Science ApplicationsManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Matteo Venanzi
24 papers receiving 469 citations
Peers
Comparison fields: 5 of 69
- Computer Science Applications 304
- Artificial Intelligence 280
- Management Science and Operations Research 109
- Information Systems 79
- Sociology and Political Science 53
Countries citing papers authored by Matteo Venanzi
This map shows the geographic impact of Matteo Venanzi'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 Matteo Venanzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Venanzi more than expected).
Fields of papers citing papers by Matteo Venanzi
This network shows the impact of papers produced by Matteo Venanzi. 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 Matteo Venanzi. The network helps show where Matteo Venanzi may publish in the future.
Co-authorship network of co-authors of Matteo Venanzi
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Venanzi. A scholar is included among the top collaborators of Matteo Venanzi 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 Matteo Venanzi. Matteo Venanzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities | 1 |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | Bayesian modelling of community-based multidimensional trust in participatory sensing under data sparsity | 6 |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 158 | |
| 9 | 13 | |
| 10 | From manifesta to krypta | 41 |
| 11 | 63 | |
| 12 | 27 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | Reasoning with Categories for Trusting Strangers: a Cognitive Architecture | 2 |
About Matteo Venanzi
Matteo Venanzi is a scholar working on Computer Science Applications, Transportation and Artificial Intelligence, having authored 25 papers that have together received 484 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (12 papers), Data Stream Mining Techniques (6 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Computer Science Applications (304 citations), Management Science and Operations Research (109 citations) and Artificial Intelligence (280 citations). Matteo Venanzi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Nicholas R. Jennings, Alex Rogers, John Guiver, Pushmeet Kohli, Milad Shokouhi, Gabriella Kazai, Cristiano Castelfranchi, Michele Piunti, Rino Falcone and The Anh Han. Their work appears in journals such as PLoS ONE, Computer and Journal of Artificial Intelligence Research.
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.