Daniel Spikol

82 papers receiving 1.1k citations

Daniel Spikol's Hit Papers

What Explains Teachers’ Trust in AI in Education Across Six Countries? 2024 · 79 citations
790+1Years since publication255075

Peers

Daniel Spikol
Comparison fields: 5 of 71
  • Computer Science Applications 423
  • Information Systems 431
  • Developmental and Educational Psychology 188
  • Human-Computer Interaction 51
  • Education 206
Replace Nicholas Zaranis with:
Nicholas Zaranis Greece
Vanessa Echeverría Australia
Daner Sun Hong Kong
Mikko‐Jussi Laakso Finland
Daniele Di Mitri Germany
Chengjiu Yin Japan
Patrícia Santos Spain
Beat Adrian Schwendimann Switzerland
Miloš Kravčík Germany
Petri Ihantola Finland
Daniel Spikol relative to Nicholas Zaranis Greece Nicholas Zaranis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Spikol

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Spikol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018150
2
What Explains Teachers’ Trust in AI in Education Across Six Countries?
Hit paper breakdown →
202479
3 201068
4 200859
5
Anytime, Anywhere Learning Supported by Smart Phones: Experiences and Results from the MUSIS Project
200746
6 200941
7 201741
8 202041
9 200840
10 200840
11 202340
12 201738
13 201830
14 201028
15 201626
16 202219
17 201118
18 201718
19 202418
20 200716

About Daniel Spikol

Daniel Spikol is a scholar working on Computer Science Applications, Information Systems, Developmental and Educational Psychology, Education and Human-Computer Interaction, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (36 papers), Mobile Learning in Education (20 papers), Teaching and Learning Programming (11 papers), Innovative Teaching and Learning Methods (10 papers), Educational Games and Gamification (8 papers), Science Education and Pedagogy (6 papers), Mathematics Education and Teaching Techniques (4 papers) and Biomedical and Engineering Education (4 papers). The work is most often cited by research in Computer Science Applications (423 citations), Information Systems (431 citations), Developmental and Educational Psychology (188 citations), Human-Computer Interaction (51 citations) and Education (206 citations). Daniel Spikol has collaborated with scholars based in Sweden, Denmark and United Kingdom. Frequent co-authors include Marcelo Milrad, Mutlu Cukurova, Emanuele Ruffaldi, Arianit Kurti, Bahtijar Vogel, Johan Eliasson, Teresa Cerratto Pargman, Heidy Maldonado, Katerina Avramides and Roy D. Pea. Their work appears in journals such as Journal of Computer Assisted Learning, International Journal of Mobile and Blended Learning, International Journal of Computer-Supported Collaborative Learning, IEEE Access and International Journal of Artificial Intelligence in Education.

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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