Filippo Sciarrone

1.6k citations
65 papers · 669 · h-index 14

Impact in

Papers in

Filippo Sciarrone

61 papers receiving 618 citations

Peers

Filippo Sciarrone
Comparison fields: 5 of 65
  • Computer Science Applications 322
  • Information Systems 273
  • Developmental and Educational Psychology 127
  • Artificial Intelligence 253
  • Communication 51
Replace Carla Limongelli with:
Carla Limongelli Italy
Marco Temperini Italy
Juan Quemada Spain
I‐Han Hsiao United States
Miroslav Minović Serbia
Christoph Rensing Germany
Ivana Bosnić Croatia
Boban Vesin Norway
P.M.E. De Bra Netherlands
José Paulo Leal Portugal
Filippo Sciarrone relative to Carla Limongelli Italy Carla Limongelli's profile →
Citations per field
00.5×1.5×
Carla Limongelli · 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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 200962
3 200449
4 201743
5 201139
6 201530
7 201025
8 200323
9 201818
10 201717
11 201517
12 200914
13 201513
14 201513
15 201213
16 202311
17 202510
18 201210
19 201010
20 20019

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 65 papers that have together received 669 indexed citations. Recurring topics across this work include Open Education and E-Learning (22 papers), Semantic Web and Ontologies (10 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online Learning and Analytics (10 papers), E-Learning and Knowledge Management (7 papers), Educational Technology and Assessment (7 papers), Wikis in Education and Collaboration (6 papers) and Learning Styles and Cognitive Differences (6 papers). The work is most often cited by research in Computer Science Applications (322 citations), Information Systems (273 citations), Developmental and Educational Psychology (127 citations), Artificial Intelligence (253 citations) and Communication (51 citations). Filippo Sciarrone has collaborated with scholars based in Italy, United Kingdom and Japan. Frequent co-authors include Carla Limongelli, Marco Temperini, Alessandro Micarelli, Carlo De Medio, Fabio Gasparetti, Alessandro Marani, Andrea Sterbini, Maria De Marsico, Stefano Panzieri and Barbara Martini. Their work appears in journals such as Computers in Human Behavior, IEEE Access, Leonardo, International Journal of Distance Education Technologies and Information Systems Management.

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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