Roberto Interdonato

1.5k total citations · 1 hit paper
52 papers, 839 citations indexed

About

Roberto Interdonato is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Ecology. According to data from OpenAlex, Roberto Interdonato has authored 52 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistical and Nonlinear Physics, 12 papers in Artificial Intelligence and 10 papers in Ecology. Recurrent topics in Roberto Interdonato's work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (13 papers) and Remote Sensing in Agriculture (10 papers). Roberto Interdonato is often cited by papers focused on Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (13 papers) and Remote Sensing in Agriculture (10 papers). Roberto Interdonato collaborates with scholars based in France, Italy and United States. Roberto Interdonato's co-authors include Dino Ienco, Raffaele Gaetano, Andrea Tagarelli, Dinh Ho Tong Minh, Kenji Osé, Sabrina Gaito, Pascal Poncelet, Arnaud Sallaberry, Maguelonne Teisseire and Mathieu Roche and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Roberto Interdonato

48 papers receiving 818 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2019 240 citations Dino Ienco, Roberto Interdonato et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Roberto Interdonato France	14	277	201	189	171	134	52	839
Ke Wu China	15	157 0.6×	172 0.9×	435 2.3×	315 1.8×	55 0.4×	57	1.1k
Xiaoxia Wang China	11	109 0.4×	98 0.5×	51 0.3×	141 0.8×	81 0.6×	53	620
Shyam Boriah United States	13	117 0.4×	28 0.1×	54 0.3×	337 2.0×	136 1.0×	31	679
Kunlun Qi China	14	81 0.3×	27 0.1×	230 1.2×	132 0.8×	91 0.7×	35	600
Ranga Raju Vatsavai United States	19	228 0.8×	15 0.1×	383 2.0×	303 1.8×	240 1.8×	114	1.2k
Arie Wahyu Wijayanto Indonesia	15	130 0.5×	28 0.1×	54 0.3×	72 0.4×	153 1.1×	83	580
Jiyuan Liu China	21	71 0.3×	79 0.4×	133 0.7×	700 4.1×	117 0.9×	59	1.3k
H.P. Foote United States	14	54 0.2×	84 0.4×	28 0.1×	183 1.1×	117 0.9×	35	682
Karsten Steinhaeuser United States	16	90 0.3×	249 1.2×	12 0.1×	160 0.9×	410 3.1×	28	1.0k
Kamalika Das United States	11	67 0.2×	38 0.2×	64 0.3×	218 1.3×	35 0.3×	33	454

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-authorship network of co-authors of Roberto Interdonato

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Interdonato. A scholar is included among the top collaborators of Roberto Interdonato 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 Roberto Interdonato. Roberto Interdonato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mena, Francisco, et al.. (2025). Multi-modal co-learning for Earth observation: enhancing single-modality models via modality collaboration. Machine Learning. 114(12).

Bourgoin, Jérémy, et al.. (2024). Mining resources, the inconvenient truth of the “ecological” transition. World Development Perspectives. 35. 100615–100615. 2 indexed citations

Ienco, Dino, et al.. (2024). DyHANE: dynamic heterogeneous attributed network embedding through experience node replay. Applied Network Science. 9(1). 3 indexed citations

Interdonato, Roberto, et al.. (2024). MARA: A deep learning based framework for multilayer graph simplification. Neurocomputing. 612. 128712–128712. 2 indexed citations

Ienco, Dino, Raffaele Gaetano, & Roberto Interdonato. (2023). A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Neurocomputing. 567. 127031–127031. 7 indexed citations

Bégué, Agnès, Simon Madec, Louise Leroux, et al.. (2023). How Well Do EO-Based Food Security Warning Systems for Food Security Agree? Comparison of NDVI-Based Vegetation Anomaly Maps in West Africa. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1641–1653. 3 indexed citations

Bégué, Agnès, et al.. (2023). Validity of household survey indicators to monitor food security in time and space: Burkina Faso case study. Agriculture & Food Security. 11(1). 3 indexed citations

Interdonato, Roberto, et al.. (2023). An Evaluation Framework for Comparing Epidemic Intelligence Systems. IEEE Access. 11. 31880–31901. 4 indexed citations

Interdonato, Roberto, et al.. (2022). The new abnormal: Identifying and ranking anomalies in the land trade market. PLoS ONE. 17(12). e0277608–e0277608. 1 indexed citations

10.

Interdonato, Roberto, et al.. (2021). Graph convolutional and attention models for entity classification in multilayer networks. Applied Network Science. 6(1). 15 indexed citations

11.

Ienco, Dino, et al.. (2021). Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data. IEEE Access. 9. 23070–23082. 21 indexed citations

12.

Interdonato, Roberto, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche, & Giuseppe Scarpa. (2020). Extracting multilayer networks from Sentinel-2 satellite image time series. CINECA IRIS Institutial research information system (Parthenope University of Naples). 2 indexed citations

13.

Interdonato, Roberto, et al.. (2020). The parable of arable land: Characterizing large scale land acquisitions through network analysis. PLoS ONE. 15(10). e0240051–e0240051. 11 indexed citations

14.

Ienco, Dino, Raffaele Gaetano, Roberto Interdonato, Kenji Osé, & Dinh Ho Tong Minh. (2018). Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based\n land cover classification. arXiv (Cornell University). 18 indexed citations

15.

Interdonato, Roberto, et al.. (2018). Topology-Driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks. IEEE Transactions on Knowledge and Data Engineering. 30(12). 2421–2434. 22 indexed citations

16.

Interdonato, Roberto, et al.. (2018). Learning to lurker rank: an evaluation of learning-to-rank methods for lurking behavior analysis. Social Network Analysis and Mining. 8(1). 2 indexed citations

17.

Interdonato, Roberto, et al.. (2017). Identifying Users With Alternate Behaviors of Lurking and Active Participation in Multilayer Social Networks. IEEE Transactions on Computational Social Systems. 5(1). 46–63. 20 indexed citations

18.

Interdonato, Roberto, et al.. (2017). An Influence Maximization based approach to the Engagement of Silent Users in Online Social Networks.. SEBD. 210. 1 indexed citations

19.

Interdonato, Roberto, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, & Pascal Poncelet. (2016). Détection de communautés locales dans des réseaux multicouches. HAL (Le Centre pour la Communication Scientifique Directe). 49 indexed citations

20.

Interdonato, Roberto, et al.. (2016). Community-based delurking in social networks. 263–270. 6 indexed citations

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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