Filippo Sciarrone

1.6k citations
99 papers · 1.3k · h-index 19

Impact in

Papers in

Filippo Sciarrone

94 papers receiving 1.2k citations

Peers

Filippo Sciarrone
Comparison fields: 5 of 76
  • Computer Science Applications 570
  • Information Systems 558
  • Developmental and Educational Psychology 229
  • Artificial Intelligence 541
  • Communication 97
Replace Lillian Cassel with:
Lillian Cassel United States
Marco Temperini Italy
Edward F. Gehringer United States
Jürgen Börstler Sweden
Aleksandra Klašnja‐Milićević Serbia
Jacqueline Bourdeau Canada
Boban Vesin Serbia
Carla Limongelli Italy
Vincent Wade Ireland
Christopher Scaffidi United States
Filippo Sciarrone relative to Lillian Cassel United States Lillian Cassel's profile →
Citations per field
00.5×6.4×
Lillian Cassel · 1×
Citations per year

Countries citing papers authored by Filippo Sciarrone

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Sciarrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Filippo Sciarrone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Filippo Sciarrone Line = papers co-authored together Filippo Sciarrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007150
2 2019141
3 200980
4 200467
5 201752
6 201151
7 201038
8 201536
9 200334
10 200832
11 201725
12 200725
13 201523
14 201822
15 200921
16 201220
17 201318
18 201518
19 201218
20 201018

About Filippo Sciarrone

Filippo Sciarrone is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Developmental and Educational Psychology and Education, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Open Education and E-Learning (32 papers), Online Learning and Analytics (23 papers), Intelligent Tutoring Systems and Adaptive Learning (18 papers), Semantic Web and Ontologies (16 papers), Educational Technology and Assessment (14 papers), E-Learning and Knowledge Management (12 papers), Learning Styles and Cognitive Differences (11 papers) and Wikis in Education and Collaboration (9 papers). The work is most often cited by research in Computer Science Applications (570 citations), Information Systems (558 citations), Developmental and Educational Psychology (229 citations), Artificial Intelligence (541 citations) and Communication (97 citations). Filippo Sciarrone has collaborated with scholars based in Italy, Australia and Japan. Frequent co-authors include Carla Limongelli, Marco Temperini, Alessandro Micarelli, Fabio Gasparetti, Carlo De Medio, Susan Gauch, Alessandro Marani, Andrea Sterbini, Maria De Marsico and Stefano Panzieri. Their work appears in journals such as Computers in Human Behavior, Lecture notes in computer science, User Modeling and User-Adapted Interaction, IEEE Access and Telematics and Informatics.

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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