Fabio Gasparetti

1.5k total citations
49 papers, 673 citations indexed

About

Fabio Gasparetti is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fabio Gasparetti has authored 49 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Information Systems, 20 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fabio Gasparetti's work include Recommender Systems and Techniques (19 papers), Web Data Mining and Analysis (8 papers) and Open Education and E-Learning (8 papers). Fabio Gasparetti is often cited by papers focused on Recommender Systems and Techniques (19 papers), Web Data Mining and Analysis (8 papers) and Open Education and E-Learning (8 papers). Fabio Gasparetti collaborates with scholars based in Italy, Slovenia and United Kingdom. Fabio Gasparetti's co-authors include Alessandro Micarelli, Giuseppe Sansonetti, Filippo Sciarrone, Carla Limongelli, Giuseppe D’Aniello, Carlo De Medio, Marco Temperini, Cristina Gena, Federica Cena and Joeran Beel and has published in prestigious journals such as IEEE Access, Knowledge-Based Systems and Future Generation Computer Systems.

In The Last Decade

Fabio Gasparetti

45 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Gasparetti Italy	15	377	312	142	103	99	49	673
Haggai Roitman Israel	19	402 1.1×	478 1.5×	142 1.0×	130 1.3×	56 0.6×	75	869
Naama Zwerdling Israel	9	465 1.2×	419 1.3×	135 1.0×	66 0.6×	94 0.9×	13	846
Saúl Vargas Spain	10	717 1.9×	313 1.0×	182 1.3×	78 0.8×	88 0.9×	19	866
Erel Uziel Israel	7	413 1.1×	202 0.6×	101 0.7×	47 0.5×	102 1.0×	10	608
Heung-Nam Kim Canada	13	482 1.3×	223 0.7×	207 1.5×	80 0.8×	145 1.5×	44	754
Michael Jugovac Germany	11	518 1.4×	309 1.0×	118 0.8×	38 0.4×	148 1.5×	17	691
Palash Nandy United States	4	493 1.3×	289 0.9×	257 1.8×	52 0.5×	121 1.2×	5	765
Jay Budzik United States	11	452 1.2×	267 0.9×	141 1.0×	105 1.0×	61 0.6×	19	689
Michal Jacovi Israel	16	488 1.3×	228 0.7×	93 0.7×	76 0.7×	162 1.6×	33	821
Leandro Balby Marinho Brazil	15	794 2.1×	490 1.6×	242 1.7×	104 1.0×	90 0.9×	51	1.1k

Countries citing papers authored by Fabio Gasparetti

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Gasparetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Gasparetti

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

All Works

Sort: Min cites: Since: Top N: Style:

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.

Camussi, Roberto, et al.. (2024). Predicting Wall Pressure Fluctuations on Aerospace Launchers Through Machine Learning Approaches. Aerospace. 11(12). 972–972.

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

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

Gasparetti, Fabio. (2021). Discovering prerequisite relations from educational documents through word embeddings. Future Generation Computer Systems. 127. 31–41. 6 indexed citations

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

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

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

10.

Gasparetti, Fabio, Luca Maria Aiello, & Daniele Quercia. (2019). Personalized weight loss strategies by mining activity tracker data. User Modeling and User-Adapted Interaction. 30(3). 447–476. 11 indexed citations

11.

Gasparetti, Fabio, Carlo De Medio, Carla Limongelli, Filippo Sciarrone, & Marco Temperini. (2017). Prerequisites between learning objects: Automatic extraction based on a machine learning approach. Telematics and Informatics. 35(3). 595–610. 43 indexed citations

12.

Medio, Carlo De, Fabio Gasparetti, Carla Limongelli, & Filippo Sciarrone. (2017). Automatic Extraction and Sequencing of Wikipedia Pages for Smart Course Building. Iris (Roma Tre University). 19. 378–383. 5 indexed citations

13.

Gasparetti, Fabio. (2016). Modeling user interests from web browsing activities. Data Mining and Knowledge Discovery. 31(2). 502–547. 16 indexed citations

14.

Gasparetti, Fabio. (2016). Personalization and Context-awareness in Social Local Search: State-of-the-art and Future Research Challenges. Pervasive and Mobile Computing. 38. 446–473. 20 indexed citations

15.

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

16.

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

17.

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

18.

Gasparetti, Fabio, et al.. (2012). TREC Microblog 2012 Track: Real-Time Algorithm for Microblog Ranking Systems. Text REtrieval Conference. 6 indexed citations

19.

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

20.

Gasparetti, Fabio & Alessandro Micarelli. (2004). Swarm intelligence: agents for adaptive web search. Iris (Roma Tre University). 1019–1020. 11 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.

Explore authors with similar magnitude of impact