Silvio Lattanzi
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 2%
- Co-authors
- Alessandro PanconesiNitish KorulaFlavio ChierichettiRavi KumarAlessandro EpastoSergei VassilvitskiiD. SivakumarPrabhakar Raghavan
- Topics
- Complex Network Analysis Techniques (26 papers)Data Management and Algorithms (14 papers)Advanced Clustering Algorithms Research (12 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Silvio Lattanzi
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 701
- Statistical and Nonlinear Physics 646
- Computer Networks and Communications 530
- Computer Vision and Pattern Recognition 346
- Information Systems 321
Countries citing papers authored by Silvio Lattanzi
This map shows the geographic impact of Silvio Lattanzi'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 Silvio Lattanzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvio Lattanzi more than expected).
Fields of papers citing papers by Silvio Lattanzi
This network shows the impact of papers produced by Silvio Lattanzi. 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 Silvio Lattanzi. The network helps show where Silvio Lattanzi may publish in the future.
Co-authorship network of co-authors of Silvio Lattanzi
This figure shows the co-authorship network connecting the top 25 collaborators of Silvio Lattanzi. A scholar is included among the top collaborators of Silvio Lattanzi 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 Silvio Lattanzi. Silvio Lattanzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | Parallel and Efficient Hierarchical k-Median Clustering | 1 |
| 5 | Robust Online Correlation Clustering | 1 |
| 6 | Online Facility Location with Multiple Advice | 1 |
| 7 | Online MAP Inference of Determinantal Point Processes | 0 |
| 8 | Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity | 4 |
| 9 | A Better k-means++ Algorithm via Local Search | 7 |
| 10 | Improved Parallel Algorithms for Density-Based Network Clustering | 8 |
| 11 | One-shot Coresets: The Case of k-Clustering | 6 |
| 12 | Affinity Clustering: Hierarchical Clustering at Scale | 33 |
| 13 | Consistent k-Clustering | 3 |
| 14 | Community Detection on Evolving Graphs | 5 |
| 15 | Distributed Balanced Clustering via Mapping Coresets | 22 |
| 16 | 7 | |
| 17 | A Local Algorithm for Finding Well-Connected Clusters | 14 |
| 18 | 96 | |
| 19 | 94 | |
| 20 | 54 |
About Silvio Lattanzi
Silvio Lattanzi is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Artificial Intelligence, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Data Management and Algorithms (14 papers) and Advanced Clustering Algorithms Research (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (646 citations), Computer Networks and Communications (530 citations) and Artificial Intelligence (701 citations). Silvio Lattanzi has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Alessandro Panconesi, Nitish Korula, Flavio Chierichetti, Ravi Kumar, Alessandro Epasto, Sergei Vassilvitskii, D. Sivakumar, Prabhakar Raghavan, Michael Mitzenmacher and Vahab Mirrokni. Their work appears in journals such as Journal of the ACM, 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.