Roberto Interdonato

1.5k citations

52 papers · 839 indexed · 1 hit paper · h-index 14

Impact in

Media Technology top 2%
- Remote-Sensing Image Classification
Statistical and Nonlinear Physics top 5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence

Papers in ⓘ

Statistical and Nonlinear Physics 22
- Complex Network Analysis Techniques 22
- Opinion Dynamics and Social Influence 13
Artificial Intelligence 12
- 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)Arnaud Sallaberry (2 shared papers)Pascal Poncelet (2 shared papers)Sabrina Gaito (4 shared papers)
Journals: Social Network Analysis and Mining (4 papers)IEEE Access (3 papers)Neurocomputing (3 papers)Applied Network Science (3 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)
Partner nations: France Italy United States

In The Last Decade

Roberto Interdonato

48 papers receiving 818 citations

Hit Papers

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Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture 2019 · 240 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 ISPRS Journal of Photogrammetry and Remote Sensing

Peers

Countries citing papers authored by Roberto Interdonato

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roberto Interdonato Line = papers co-authored together Roberto Interdonato links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 52 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 ISPRS Journal of Photogrammetry and Remote Sensing ·Dino Ienco, Roberto Interdonato, Raffaele Gaetano, Dinh Ho Tong Minh Hit paper breakdown →	2019	240
2	DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn ISPRS Journal of Photogrammetry and Remote Sensing ·Roberto Interdonato, Dino Ienco, Raffaele Gaetano, Kenji Osé	2019	127
3	Détection de communautés locales dans des réseaux multicouches HAL (Le Centre pour la Communication Scientifique Directe) ·Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet	2016	49
4	Feature-rich networks: going beyond complex network topologies Applied Network Science ·Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala	2019	48
5	Food security prediction from heterogeneous data combining machine and deep learning methods Expert Systems with Applications ·Hugo Deléglise, Roberto Interdonato, Agnès Bégué, Élodie Maître d’Hôtel, Maguelonne Teisseire, Mathieu Roche	2021	36
6	Lurking in social networks: topology-based analysis and ranking methods Social Network Analysis and Mining ·Andrea Tagarelli, Roberto Interdonato	2014	28
7	Time-aware analysis and ranking of lurkers in social networks Social Network Analysis and Mining ·Andrea Tagarelli, Roberto Interdonato	2015	28
8	"Who's out there?" Andrea Tagarelli, Roberto Interdonato	2013	27
9	Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN IEEE Access ·Dino Ienco, Yawogan Jean Eudes Gbodjo, Raffaele Gaetano, Roberto Interdonato	2020	23
10	Topology-Driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks IEEE Transactions on Knowledge and Data Engineering ·Antonio Caliò, Roberto Interdonato, Chiara Pulice, Andrea Tagarelli	2018	22
11	Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data IEEE Access ·Alessandro Michele Censi, Dino Ienco, Yawogan Jean Eudes Gbodjo, Ruggero G. Pensa, Roberto Interdonato, Raffaele Gaetano	2021	21
12	Identifying Users With Alternate Behaviors of Lurking and Active Participation in Multilayer Social Networks IEEE Transactions on Computational Social Systems ·Diego Perna, Roberto Interdonato, Andrea Tagarelli	2017	20
13	Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based\n land cover classification arXiv (Cornell University) ·Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Osé, Dinh Ho Tong Minh	2018	18
14	Graph convolutional and attention models for entity classification in multilayer networks Applied Network Science ·Lorenzo Zangari, Roberto Interdonato, Antonio Caliò, Andrea Tagarelli	2021	15
15	A Versatile Graph-Based Approach to Package Recommendation Roberto Interdonato, Salvatore Romeo, Andrea Tagarelli, George Karypis	2013	12
16	The parable of arable land: Characterizing large scale land acquisitions through network analysis PLoS ONE ·Roberto Interdonato, Jérémy Bourgoin, Quentin Grislain, Matteo Zignani, Sabrina Gaito, Markus Giger	2020	11
17	A lightweight and multilingual framework for crisis information extraction from Twitter data Social Network Analysis and Mining ·Roberto Interdonato, Jean‐Loup Guillaume, Antoine Doucet	2019	11
18	Deep semi-supervised clustering for multi-variate time-series Neurocomputing ·Dino Ienco, Roberto Interdonato	2022	10
19	A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels Neurocomputing ·Dino Ienco, Raffaele Gaetano, Roberto Interdonato	2023	7
20	Community-based delurking in social networks Roberto Interdonato, Chiara Pulice, Andrea Tagarelli	2016	7

About Roberto Interdonato

Roberto Interdonato is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Ecology, Communication and Media Technology, having authored 52 papers that have together received 839 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), Spam and Phishing Detection (5 papers), Advanced Graph Neural Networks (5 papers) and Remote Sensing and Land Use (5 papers). The work is most often cited by research in Media Technology (189 citations), Statistical and Nonlinear Physics (201 citations), Ecology (277 citations), Environmental Engineering (131 citations) and Communication (56 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, Arnaud Sallaberry, Pascal Poncelet, Sabrina Gaito, Maguelonne Teisseire and Mathieu Roche. Their work appears in journals such as Social Network Analysis and Mining, IEEE Access, Neurocomputing, Applied Network Science and ISPRS Journal of Photogrammetry and Remote Sensing.

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.

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