Lorenzo Orecchia
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Mechanics
- Co-authors
- Nisheeth K. VishnoiJonathan A. KelnerAaron SidfordYin Tat LeeZeyuan Allen ZhuMichael W. MahoneyZeyuan Allen-ZhuJelena Diakonikolas
- Topics
- Stochastic Gradient Optimization Techniques (10 papers)Complexity and Algorithms in Graphs (6 papers)Sparse and Compressive Sensing Techniques (5 papers)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Lorenzo Orecchia
21 papers receiving 380 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 167
- Artificial Intelligence 141
- Computer Networks and Communications 109
- Statistical and Nonlinear Physics 62
- Computational Mechanics 59
Countries citing papers authored by Lorenzo Orecchia
This map shows the geographic impact of Lorenzo Orecchia'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 Lorenzo Orecchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Orecchia more than expected).
Fields of papers citing papers by Lorenzo Orecchia
This network shows the impact of papers produced by Lorenzo Orecchia. 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 Lorenzo Orecchia. The network helps show where Lorenzo Orecchia may publish in the future.
Co-authorship network of co-authors of Lorenzo Orecchia
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Orecchia. A scholar is included among the top collaborators of Lorenzo Orecchia 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 Lorenzo Orecchia. Lorenzo Orecchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 13 | |
| 3 | On Acceleration with Noise-Corrupted Gradients | 5 |
| 4 | Alternating Randomized Block Coordinate Descent | 2 |
| 5 | Connected subgraph detection with mirror descent on SDPs | 4 |
| 6 | 9 | |
| 7 | 22 | |
| 8 | Linear Coupling of Gradient and Mirror Descent: A Novel, Simple Interpretation of Nesterov's Accelerated Method | 4 |
| 9 | A novel, simple interpretation of Nesterov’s accelerated method as a combination of gradient and mirror descent | 2 |
| 10 | 55 | |
| 11 | 16 | |
| 12 | 66 | |
| 13 | 45 | |
| 14 | 37 | |
| 15 | Fast approximation algorithms for graph partitioning using spectral and semidefinite-programming techniques | 3 |
| 16 | A Spectral Algorithm for Improving Graph Partitions with Applications to Exploring Data Graphs Locally | 2 |
| 17 | A Spectral Algorithm for Improving Graph Partitions | 1 |
| 18 | 31 | |
| 19 | 25 | |
| 20 | 37 |
About Lorenzo Orecchia
Lorenzo Orecchia is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis, having authored 21 papers that have together received 406 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (10 papers), Complexity and Algorithms in Graphs (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Computational Mathematics (7 citations), Computational Theory and Mathematics (167 citations) and Numerical Analysis (34 citations). Lorenzo Orecchia has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Nisheeth K. Vishnoi, Jonathan A. Kelner, Aaron Sidford, Yin Tat Lee, Zeyuan Allen Zhu, Michael W. Mahoney, Aaron Sidford, Zeyuan Allen-Zhu, Jelena Diakonikolas and Sushant Sachdeva. Their work appears in journals such as Genome biology, Journal of Machine Learning Research and Chromosoma.
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.