Roberto Interdonato
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Complex Network Analysis Techniques 22
- Opinion Dynamics and Social Influence 13
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- Advanced Graph Neural Networks 5
- Co-authors
- Dino Ienco (16 shared papers)Raffaele Gaetano (9 shared papers)Andrea Tagarelli (22 shared papers)Dinh Ho Tong Minh (2 shared papers)Kenji Osé (2 shared papers)Pascal Poncelet (2 shared papers)Sabrina Gaito (4 shared papers)Arnaud Sallaberry (2 shared papers)
- Journals
- Social Network Analysis and Mining (4 papers)Neurocomputing (3 papers)IEEE Access (3 papers)Applied Network Science (3 papers)PLoS ONE (2 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Roberto Interdonato
48 papers receiving 843 citations
Roberto Interdonato's Hit Papers
Peers
Comparison fields: 5 of 106
- Media Technology 190
- Statistical and Nonlinear Physics 201
- Ecology 280
- Environmental Engineering 132
- Communication 57
Countries citing papers authored by Roberto Interdonato
This map shows the geographic impact of Roberto Interdonato'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 Roberto Interdonato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Interdonato more than expected).
Fields of papers citing papers by Roberto Interdonato
This network shows the impact of papers produced by Roberto Interdonato. 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 Roberto Interdonato. The network helps show where Roberto Interdonato may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Interdonato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture Hit paper breakdown → | 2019 | 247 |
| 2 | 2019 | 129 | |
| 3 | Détection de communautés locales dans des réseaux multicouches | 2016 | 49 |
| 4 | 2019 | 49 | |
| 5 | 2021 | 38 | |
| 6 | 2014 | 28 | |
| 7 | 2015 | 28 | |
| 8 | 2013 | 27 | |
| 9 | 2020 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2018 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2015 | 7 |
About Roberto Interdonato
Roberto Interdonato is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Ecology, Communication and Media Technology, having authored 54 papers that have together received 860 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (13 papers), Remote Sensing in Agriculture (10 papers), Remote-Sensing Image Classification (8 papers), Social Media and Politics (7 papers), Remote Sensing and Land Use (5 papers), Spam and Phishing Detection (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Media Technology (190 citations), Statistical and Nonlinear Physics (201 citations), Ecology (280 citations), Environmental Engineering (132 citations) and Communication (57 citations). Roberto Interdonato has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Dino Ienco, Raffaele Gaetano, Andrea Tagarelli, Dinh Ho Tong Minh, Kenji Osé, Pascal Poncelet, Sabrina Gaito, Arnaud Sallaberry, Maguelonne Teisseire and Mathieu Roche. Their work appears in journals such as Social Network Analysis and Mining, Neurocomputing, IEEE Access, Applied Network Science and PLoS ONE.
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.