Roberto Interdonato
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
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- Complex Network Analysis Techniques
Papers in
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- Complex Network Analysis Techniques 28
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- Remote-Sensing Image Classification 15
- Co-authors
- Andrea Tagarelli (34 shared papers)Dino Ienco (20 shared papers)Raffaele Gaetano (10 shared papers)Dinh Ho Tong Minh (2 shared papers)Emilio Ferrara (1 shared paper)Kenji Osé (2 shared papers)Matteo Magnani (2 shared papers)Diego Perna (5 shared papers)
- Journals
- IEEE Access (5 papers)Social Network Analysis and Mining (4 papers)Applied Network Science (3 papers)Neurocomputing (3 papers)Expert Systems with Applications (2 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Roberto Interdonato
68 papers receiving 1.3k citations
Roberto Interdonato's Hit Papers
Peers
Comparison fields: 5 of 101
- Media Technology 310
- Statistical and Nonlinear Physics 364
- Ecology 168
- Signal Processing 52
- Communication 54
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 76 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 | 265 |
| 2 | 2019 | 138 | |
| 3 | 2014 | 117 | |
| 4 | 2021 | 84 | |
| 5 | 2019 | 61 | |
| 6 | 2020 | 60 | |
| 7 | 2016 | 59 | |
| 8 | 2021 | 45 | |
| 9 | 2013 | 34 | |
| 10 | 2014 | 33 | |
| 11 | 2020 | 33 | |
| 12 | 2015 | 32 | |
| 13 | 2020 | 28 | |
| 14 | 2018 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2017 | 21 | |
| 17 | 2019 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2013 | 16 | |
| 20 | 2023 | 14 |
About Roberto Interdonato
Roberto Interdonato is a scholar working on Statistical and Nonlinear Physics, Media Technology, General Agricultural and Biological Sciences, Artificial Intelligence and Information Systems, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (28 papers), Remote-Sensing Image Classification (15 papers), Topic Modeling (7 papers), Agriculture, Land Use, Rural Development (7 papers), Remote Sensing in Agriculture (6 papers), Food Security and Socioeconomic Dynamics (5 papers), Data-Driven Disease Surveillance (3 papers) and Access Control and Trust (3 papers). The work is most often cited by research in Media Technology (310 citations), Statistical and Nonlinear Physics (364 citations), Ecology (168 citations), Signal Processing (52 citations) and Communication (54 citations). Roberto Interdonato has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Andrea Tagarelli, Dino Ienco, Raffaele Gaetano, Dinh Ho Tong Minh, Emilio Ferrara, Kenji Osé, Matteo Magnani, Diego Perna, Luca Rossi and Arnaud Sallaberry. Their work appears in journals such as IEEE Access, Social Network Analysis and Mining, Applied Network Science, Neurocomputing and Expert Systems with Applications.
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.