Fabio Gasparetti

1.5k citations
49 papers · 673 indexed · h-index 15

Fabio Gasparetti

45 papers receiving 620 citations

Peers

Fabio Gasparetti
Comparison fields: 5 of 73
  • Information Systems 377
  • Artificial Intelligence 312
  • Computer Vision and Pattern Recognition 142
  • Signal Processing 103
  • Sociology and Political Science 99
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 6
6
Tourism Recommender Systems as a Vehicle for Social and Cultural Inclusion
1
7 51
8 59
9
BERT, ELMo, use and infersent sentence encoders: The Panacea for research-paper recommendation?
22
10 11
11 43
12 5
13 16
14 20
15
Analysis of sentiment communities in online networks
3
16
A Sentiment-Based Approach to Twitter User Recommendation.
32
17 23
18
TREC Microblog 2012 Track: Real-Time Algorithm for Microblog Ranking Systems
6
19
Towards Cognitive Modeling of User Needs in Web Browsing Activities
1
20
Swarm intelligence: agents for adaptive web search
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) and Open Education and E-Learning (8 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.

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