Alessandro Arsie
- Computer Networks and Communications top 5%
- Geometry and Topology top 5%
- Computer Vision and Pattern Recognition top 10%
- Public Health, Environmental and Occupational Health
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Emilio FrazzoliMarco PavoneFrancesco BulloChristian EbenbauerKetan SavlaChunhua ShanPaolo LorenzoniAngelo Vistoli
- Topics
- Nonlinear Waves and Solitons (9 papers)Advanced Differential Equations and Dynamical Systems (7 papers)Distributed Control Multi-Agent Systems (6 papers)
- Journals
- IEEE Transactions on Automatic ControlCommunications in Mathematical PhysicsJournal of Differential Equations
- Partner nations
- United StatesItalyGermany
In The Last Decade
Alessandro Arsie
31 papers receiving 445 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 233
- Geometry and Topology 98
- Computer Vision and Pattern Recognition 68
- Public Health, Environmental and Occupational Health 68
- Statistical and Nonlinear Physics 62
Countries citing papers authored by Alessandro Arsie
This map shows the geographic impact of Alessandro Arsie'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 Alessandro Arsie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Arsie more than expected).
Fields of papers citing papers by Alessandro Arsie
This network shows the impact of papers produced by Alessandro Arsie. 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 Alessandro Arsie. The network helps show where Alessandro Arsie may publish in the future.
Co-authorship network of co-authors of Alessandro Arsie
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Arsie. A scholar is included among the top collaborators of Alessandro Arsie 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 Alessandro Arsie. Alessandro Arsie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | On near-optimal time samplings for initial data best approximation | 3 |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 40 | |
| 12 | 22 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 33 | |
| 17 | 34 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 2 |
About Alessandro Arsie
Alessandro Arsie is a scholar working on Geometry and Topology, Mathematical Physics and Statistical and Nonlinear Physics, having authored 32 papers that have together received 474 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (9 papers), Advanced Differential Equations and Dynamical Systems (7 papers) and Distributed Control Multi-Agent Systems (6 papers). The work is most often cited by research in Geometry and Topology (98 citations), Computer Networks and Communications (233 citations) and Mathematical Physics (52 citations). Alessandro Arsie has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Emilio Frazzoli, Marco Pavone, Francesco Bullo, Christian Ebenbauer, Ketan Savla, Chunhua Shan, Paolo Lorenzoni, Angelo Vistoli, Antonio Moro and Brian Trease. Their work appears in journals such as IEEE Transactions on Automatic Control, Communications in Mathematical Physics and Journal of Differential Equations.
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.