Fabio Gasparetti
- Information Systems top 2%
- Recommender Systems and Techniques 19
- Web Data Mining and Analysis 8
- Information Retrieval and Search Behavior 5
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- Open Education and E-Learning 8
- Artificial Intelligence top 5%
- Topic Modeling 7
- Semantic Web and Ontologies 6
- Signal Processing top 5%
- Music and Audio Processing 6
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- Wikis in Education and Collaboration 7
- Co-authors
- Alessandro MicarelliGiuseppe SansonettiFilippo SciarroneCarla LimongelliGiuseppe D’AnielloCarlo De MedioMarco TemperiniCristina Gena
- Journals
- IEEE Access (1 paper)Knowledge-Based Systems (1 paper)Future Generation Computer Systems (2 papers)
- Partner nations
- ItalySloveniaUnited Kingdom
In The Last Decade
Fabio Gasparetti
45 papers receiving 620 citations
Peers
Comparison fields: 5 of 73
- Information Systems 377
- Computer Science Applications 74
- Artificial Intelligence 312
- Signal Processing 103
- Computational Mathematics 5
Countries citing papers authored by Fabio Gasparetti
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
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
The 23 scholars most cited alongside Fabio Gasparetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 6 | |
| 6 | Tourism Recommender Systems as a Vehicle for Social and Cultural Inclusion | 2021 | 1 |
| 7 | 2020 | 51 | |
| 8 | 2020 | 59 | |
| 9 | BERT, ELMo, use and infersent sentence encoders: The Panacea for research-paper recommendation? | 2019 | 22 |
| 10 | 2019 | 11 | |
| 11 | 2017 | 43 | |
| 12 | 2017 | 5 | |
| 13 | 2016 | 16 | |
| 14 | 2016 | 20 | |
| 15 | Analysis of sentiment communities in online networks | 2015 | 3 |
| 16 | A Sentiment-Based Approach to Twitter User Recommendation. | 2013 | 32 |
| 17 | 2013 | 23 | |
| 18 | TREC Microblog 2012 Track: Real-Time Algorithm for Microblog Ranking Systems | 2012 | 6 |
| 19 | Towards Cognitive Modeling of User Needs in Web Browsing Activities | 2009 | 1 |
| 20 | Swarm intelligence: agents for adaptive web search | 2004 | 11 |
About Fabio Gasparetti
Fabio Gasparetti is a scholar working on Computer Science Applications, Information Systems and Communication, having authored 49 papers that have together received 673 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (19 papers), Web Data Mining and Analysis (8 papers), Open Education and E-Learning (8 papers), Topic Modeling (7 papers), Wikis in Education and Collaboration (7 papers), Music and Audio Processing (6 papers), Semantic Web and Ontologies (6 papers) and Information Retrieval and Search Behavior (5 papers). The work is most often cited by research in Information Systems (377 citations), Computer Science Applications (74 citations) and Artificial Intelligence (312 citations). Fabio Gasparetti has collaborated with scholars based in Italy, Slovenia and United Kingdom. Frequent 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. Their work appears in journals such as IEEE Access, Knowledge-Based Systems and Future Generation Computer Systems.
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.