Matteo Repetto
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Raffaele BollaAlessandro CarregaRafiullah KhanLuca CaviglioneA. AlessandriWojciech MazurczykStefan CovaciPanagiotis Gouvas
- Topics
- Network Security and Intrusion Detection (23 papers)Caching and Content Delivery (23 papers)Advanced Malware Detection Techniques (18 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Matteo Repetto
77 papers receiving 499 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 363
- Electrical and Electronic Engineering 142
- Information Systems 129
- Artificial Intelligence 124
- Signal Processing 106
Countries citing papers authored by Matteo Repetto
This map shows the geographic impact of Matteo Repetto'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 Matteo Repetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Repetto more than expected).
Fields of papers citing papers by Matteo Repetto
This network shows the impact of papers produced by Matteo Repetto. 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 Matteo Repetto. The network helps show where Matteo Repetto may publish in the future.
Co-authorship network of co-authors of Matteo Repetto
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Repetto. A scholar is included among the top collaborators of Matteo Repetto 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 Matteo Repetto. Matteo Repetto 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 | 7 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | Smart proxying for reducing network energy consumption | 14 |
| 14 | Performance evaluation of a DHT-based integrated mobility architecture | 1 |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | A new model for network traffic forecast based on user's mobility in cellular networks with highway stretches: Research Articles | 1 |
| 19 | ON-LINE ESTIMATION OF ROAD TRAFFIC CONDITIONS BY USING MOBILE CELLULAR NETWORKS | 2 |
| 20 | 3 |
About Matteo Repetto
Matteo Repetto is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 82 papers that have together received 527 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (23 papers), Caching and Content Delivery (23 papers) and Advanced Malware Detection Techniques (18 papers). The work is most often cited by research in Computer Networks and Communications (363 citations), Signal Processing (106 citations) and Information Systems (129 citations). Matteo Repetto has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Raffaele Bolla, Alessandro Carrega, Rafiullah Khan, Luca Caviglione, A. Alessandri, Wojciech Mazurczyk, Rafiullah Khan, Stefan Covaci, Panagiotis Gouvas and Anastasios Zafeiropoulos. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Cancer Research.
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.