Marco Temperini

1.5k citations
77 papers · 720 indexed · h-index 15
Topics
Online Learning and Analytics (22 papers)Open Education and E-Learning (22 papers)Innovative Teaching and Learning Methods (17 papers)
Partner nations
ItalyJapanAustralia

In The Last Decade

Marco Temperini

69 papers receiving 678 citations

Peers

Marco Temperini
Comparison fields: 5 of 75
  • Computer Science Applications 412
  • Artificial Intelligence 249
  • Information Systems 246
  • Developmental and Educational Psychology 194
  • Education 172
Replace Boban Vesin with:
Boban Vesin Norway
Miroslav Minović Serbia
Juan Quemada Spain
Iria Estévez Ayres Spain
P.M.E. De Bra Netherlands
Filippo Sciarrone Italy
Miguel L. Bote‐Lorenzo Spain
Daniel Manrique Spain
Carla Limongelli Italy
I‐Han Hsiao United States
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Citations per field
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Citations per year

Countries citing papers authored by Marco Temperini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Temperini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Temperini

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Temperini. A scholar is included among the top collaborators of Marco Temperini 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 Marco Temperini. Marco Temperini 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 1
2 0
3 2
4 1
5 1
6 6
7 43
8 8
9 1
10 1
11 1
12 15
13 13
14 62
15
On the specification of learning objectives for course configuration
4
16
Course configuration via logic and graphic tools
2
17 8
18 2
19 0
20 0

About Marco Temperini

Marco Temperini is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Human Factors and Ergonomics, having authored 77 papers that have together received 720 indexed citations. Recurring topics across this work include Online Learning and Analytics (22 papers), Open Education and E-Learning (22 papers) and Innovative Teaching and Learning Methods (17 papers). The work is most often cited by research in Computer Science Applications (412 citations), Developmental and Educational Psychology (194 citations) and Information Systems (246 citations). Marco Temperini has collaborated with scholars based in Italy, Japan and Australia. Frequent co-authors include Filippo Sciarrone, Andrea Sterbini, Carla Limongelli, Carlo De Medio, Maria De Marsico, Fabio Gasparetti, Alessandro Marani, Tania Di Mascio, Paolo Di Giamberardino and Luigi Laura. Their work appears in journals such as Computers in Human Behavior, IEEE Access and Theoretical Computer Science.

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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