Giuseppe Sansonetti

1.4k total citations
49 papers, 737 citations indexed

About

Giuseppe Sansonetti is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Giuseppe Sansonetti has authored 49 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Giuseppe Sansonetti's work include Recommender Systems and Techniques (19 papers), Music and Audio Processing (7 papers) and Image Retrieval and Classification Techniques (7 papers). Giuseppe Sansonetti is often cited by papers focused on Recommender Systems and Techniques (19 papers), Music and Audio Processing (7 papers) and Image Retrieval and Classification Techniques (7 papers). Giuseppe Sansonetti collaborates with scholars based in Italy, Slovenia and Venezuela. Giuseppe Sansonetti's co-authors include Alessandro Micarelli, Fabio Gasparetti, Giuseppe D’Aniello, Carla Limongelli, Matteo Gaeta, Cristina Gena, Francesco Orciuoli, Edoardo Bemporad, Federica Cena and E.S. Puchi-Cabrera and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and Applied Sciences.

In The Last Decade

Giuseppe Sansonetti

45 papers receiving 690 citations

Peers

Giuseppe Sansonetti

CVPR

SPS

Erheng Zhong Hong Kong

Minsuk Kahng United States

Jilei Tian China

Yanhao Wang China

Xiaoxuan Shen China

Hai Liu China

Kazutoshi Sumiya Japan

Haidong Zhang China

Yanbin Hao China

Erheng Zhong Hong Kong

Giuseppe Sansonetti

372 ×1.0

587 ×2.0

293 ×1.6

CVPR

97 ×0.9

71 ×0.7

SPS

Citations per year, relative to Giuseppe Sansonetti Giuseppe Sansonetti (= 1×) peers Erheng Zhong

Countries citing papers authored by Giuseppe Sansonetti

Since Specialization

Citations

This map shows the geographic impact of Giuseppe Sansonetti'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 Giuseppe Sansonetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Sansonetti more than expected).

Fields of papers citing papers by Giuseppe Sansonetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giuseppe Sansonetti. 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 Giuseppe Sansonetti. The network helps show where Giuseppe Sansonetti may publish in the future.

Co-authorship network of co-authors of Giuseppe Sansonetti

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Sansonetti. A scholar is included among the top collaborators of Giuseppe Sansonetti 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 Giuseppe Sansonetti. Giuseppe Sansonetti 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

Limongelli, Carla, et al.. (2025). Exploring the Potential of Multimodal Large Language Models for Question Answering on Artworks. Iris (Roma Tre University). 432–436.

Gasparetti, Fabio, Cristina Gena, Giuseppe Sansonetti, & Marko Tkalčič. (2024). SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024. Iris (Roma Tre University). 125–126.

Limongelli, Carla, et al.. (2023). Eyeing the Visitor’s Gaze for Artwork Recommendation. Iris (Roma Tre University). 374–378. 2 indexed citations

Gasparetti, Fabio, Cristina Gena, Giuseppe Sansonetti, & Marko Tkalčič. (2023). SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2023. Iris (Roma Tre University). 179–180. 1 indexed citations

Sansonetti, Giuseppe, et al.. (2023). A BERT-Based Approach to Intent Recognition. Iris (Roma Tre University). 1. 568–572. 2 indexed citations

Gasparetti, Fabio, Giuseppe Sansonetti, & Alessandro Micarelli. (2021). Tourism Recommender Systems as a Vehicle for Social and Cultural Inclusion. 2903. 1 indexed citations

Limongelli, Carla, et al.. (2021). Exploiting Micro Facial Expressions for More Inclusive User Interfaces. 2903. 1 indexed citations

Sansonetti, Giuseppe, et al.. (2021). An Empirical Review of Automated Machine Learning. Computers. 10(1). 11–11. 35 indexed citations

Gasparetti, Fabio, Giuseppe Sansonetti, & Alessandro Micarelli. (2020). Community detection in social recommender systems: a survey. Applied Intelligence. 51(6). 3975–3995. 51 indexed citations

10.

Sansonetti, Giuseppe, Fabio Gasparetti, Giuseppe D’Aniello, & Alessandro Micarelli. (2020). Unreliable Users Detection in Social Media: Deep Learning Techniques for Automatic Detection. IEEE Access. 8. 213154–213167. 59 indexed citations

11.

Sansonetti, Giuseppe, et al.. (2019). BERT, ELMo, use and infersent sentence encoders: The Panacea for research-paper recommendation?. Conference on Recommender Systems. 2431. 6–10. 22 indexed citations

12.

Sansonetti, Giuseppe. (2019). Point of interest recommendation based on social and linked open data. Personal and Ubiquitous Computing. 23(2). 199–214. 17 indexed citations

13.

Sansonetti, Giuseppe, et al.. (2019). Exploiting semantics for context-aware itinerary recommendation. Personal and Ubiquitous Computing. 23(2). 215–231. 26 indexed citations

14.

Sansonetti, Giuseppe, et al.. (2017). Dynamic Social Recommendation. Iris (Roma Tre University). 943–947. 3 indexed citations

15.

Micarelli, Alessandro, et al.. (2016). A Comparative Analysis of Personality-Based Music Recommender Systems.. Conference on Recommender Systems. 1680. 55–59. 15 indexed citations

16.

Gasparetti, Fabio, et al.. (2015). Analysis of sentiment communities in online networks. Iris (Roma Tre University). 1421. 17–20. 3 indexed citations

17.

Gasparetti, Fabio, Alessandro Micarelli, & Giuseppe Sansonetti. (2014). Exploiting Web Browsing Activities for User Needs Identification. Iris (Roma Tre University). 86–89. 8 indexed citations

18.

Gasparetti, Fabio, et al.. (2013). A Sentiment-Based Approach to Twitter User Recommendation.. Conference on Recommender Systems. 1066. 32 indexed citations

19.

Gasparetti, Fabio, et al.. (2013). Signal-based user recommendation on twitter. Iris (Roma Tre University). 941–944. 23 indexed citations

20.

Gasparetti, Fabio, Alessandro Micarelli, & Giuseppe Sansonetti. (2009). Towards Cognitive Modeling of User Needs in Web Browsing Activities. Iris (Roma Tre University). 7. 139–164. 1 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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