Luca Rossi
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 10%
- Transportation top 5%
- Sociology and Political Science
- Co-authors
- Edwin R. HancockAndrea TorselloLu BaiMirco MusolesiLixin CuiYuhang JiaoJames Alfred WalkerDavide Vega
- Topics
- Quantum Computing Algorithms and Architecture (9 papers)Advanced Graph Neural Networks (9 papers)Complex Network Analysis Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligencePattern Recognition
- Partner nations
- United KingdomItalyChina
In The Last Decade
Luca Rossi
38 papers receiving 497 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 284
- Computer Vision and Pattern Recognition 130
- Statistical and Nonlinear Physics 83
- Transportation 79
- Sociology and Political Science 61
Countries citing papers authored by Luca Rossi
This map shows the geographic impact of Luca Rossi'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 Luca Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Rossi more than expected).
Fields of papers citing papers by Luca Rossi
This network shows the impact of papers produced by Luca Rossi. 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 Luca Rossi. The network helps show where Luca Rossi may publish in the future.
Co-authorship network of co-authors of Luca Rossi
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Rossi. A scholar is included among the top collaborators of Luca Rossi 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 Luca Rossi. Luca Rossi 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | An Aligned Subtree Kernel for Weighted Graphs | 19 |
| 11 | 27 | |
| 12 | 47 | |
| 13 | 66 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | A Stable Graph-Based Representation for Object Recognition through High-Order Matching | 3 |
| 18 | THE USE OF TRADITIONAL SPECTRUM ANALYZERS TO MEASURE THE ELECTROMAGNETIC POLLUTION GENERATED BY WIMAX DEVICES | 3 |
| 19 | 13 | |
| 20 | The ToCAI DS for audio-visual documents. Structure and concepts | 1 |
About Luca Rossi
Luca Rossi is a scholar working on Transportation, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 38 papers that have together received 502 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Advanced Graph Neural Networks (9 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Transportation (79 citations), Artificial Intelligence (284 citations) and Statistical and Nonlinear Physics (83 citations). Luca Rossi has collaborated with scholars based in United Kingdom, Italy and China. Frequent co-authors include Edwin R. Hancock, Andrea Torsello, Lu Bai, Mirco Musolesi, Lixin Cui, Yuhang Jiao, James Alfred Walker, Davide Vega, Matteo Magnani and Zhihong Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.
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.