Davide Taibi

1.2k citations
92 papers · 539 · h-index 11

Impact in

Papers in

Davide Taibi

74 papers receiving 499 citations

Peers

Davide Taibi
Comparison fields: 5 of 66
  • Computer Science Applications 217
  • Information Systems 185
  • Artificial Intelligence 231
  • Communication 38
  • Developmental and Educational Psychology 68
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Panagiotis Zervas Greece
Griff Richards Canada
Zhi Liu China
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Ștefan Trăușan-Matu Romania
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Mohamed Amine Chatti Germany
Daniel Manrique Spain
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Citations per year

Countries citing papers authored by Davide Taibi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Taibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Taibi, 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 Davide Taibi Line = papers co-authored together Davide Taibi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201473
2 201263
3 201829
4
A linked data-driven & service-oriented architecture for sharing educational resources
201125
5 202224
6 201524
7
Fostering Analytics on Learning Analytics Research: the LAK Dataset.
201324
8
Connecting medical educational resources to the Linked Data cloud: the mEducator RDF Schema, store and API
201122
9 201315
10 201713
11 202310
12
Using linked data in Learning Analytics
20149
13 20138
14
Can Entities be Friends
20128
15 20227
16 20167
17 20177
18 20147
19 20217
20
mCLT: an application for collaborative learning on a mobile telephone
20057

About Davide Taibi

Davide Taibi is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Education and Developmental and Educational Psychology, having authored 92 papers that have together received 539 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (26 papers), Open Education and E-Learning (17 papers), Online Learning and Analytics (13 papers), Natural Language Processing Techniques (11 papers), E-Learning and Knowledge Management (10 papers), Biomedical Text Mining and Ontologies (9 papers), Mobile Learning in Education (9 papers) and Innovative Teaching and Learning Methods (7 papers). The work is most often cited by research in Computer Science Applications (217 citations), Information Systems (185 citations), Artificial Intelligence (231 citations), Communication (38 citations) and Developmental and Educational Psychology (68 citations). Davide Taibi has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Giovanni Fulantelli, Stefan Dietze, Marco Arrigo, Eleni Kaldoudi, Giuseppe Chiazzese, Nikolas Dovrolis, Daniela Giordano, Besnik Fetahu, Lidia Scifo and Mathieu d’Aquin. Their work appears in journals such as Frontiers in Psychology, British Journal of Educational Technology, IEEE Access, Memory Studies and Journal of Systems and Software.

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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