Mauro Sozio
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- Aristides GionisGerhard WeikumFabian M. SuchanekAlessandro PanconesiT-H. Hubert ChanGjergji KasneciMaya RamanathMaximilien Danisch
- Topics
- Complexity and Algorithms in Graphs (9 papers)Data Management and Algorithms (9 papers)Optimization and Search Problems (8 papers)
In The Last Decade
Mauro Sozio
31 papers receiving 886 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 499
- Computer Networks and Communications 369
- Statistical and Nonlinear Physics 289
- Information Systems 204
- Signal Processing 185
Countries citing papers authored by Mauro Sozio
This map shows the geographic impact of Mauro Sozio'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 Mauro Sozio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Sozio more than expected).
Fields of papers citing papers by Mauro Sozio
This network shows the impact of papers produced by Mauro Sozio. 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 Mauro Sozio. The network helps show where Mauro Sozio may publish in the future.
Co-authorship network of co-authors of Mauro Sozio
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Sozio. A scholar is included among the top collaborators of Mauro Sozio 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 Mauro Sozio. Mauro Sozio 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | The community-search problem and how to plan a successful cocktail partybreakdown → | 331 |
| 15 | 14 | |
| 16 | URDF: Efficient Reasoning in Uncertain RDF Knowledge Bases with Soft and Hard Rules | 8 |
| 17 | 77 | |
| 18 | 18 | |
| 19 | 8 | |
| 20 | 4 |
About Mauro Sozio
Mauro Sozio is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics, having authored 33 papers that have together received 928 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (9 papers), Data Management and Algorithms (9 papers) and Optimization and Search Problems (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (289 citations), Signal Processing (185 citations) and Computer Networks and Communications (369 citations). Mauro Sozio has collaborated with scholars based in France, Germany and Hong Kong. Frequent co-authors include Aristides Gionis, Gerhard Weikum, Fabian M. Suchanek, Alessandro Panconesi, T-H. Hubert Chan, Gjergji Kasneci, Maya Ramanath, Maximilien Danisch, Gianmarco De Francisci Morales and Martin Theobald. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, SIAM Journal on Computing and Proceedings of the VLDB Endowment.
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.