Daniel Spikol

1.5k citations
67 papers · 807 · h-index 16

Impact in

Papers in

Daniel Spikol

60 papers receiving 734 citations

Peers

Daniel Spikol
Comparison fields: 5 of 78
  • Computer Science Applications 299
  • Developmental and Educational Psychology 349
  • Information Systems 359
  • Human-Computer Interaction 52
  • Education 230
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Tzu‐Chi Yang Taiwan
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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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018120
2 201058
3 200850
4
Anytime, Anywhere Learning Supported by Smart Phones: Experiences and Results from the MUSIS Project
200738
5 201737
6 200834
7 200933
8 202431
9 200831
10 201730
11 202328
12 202027
13 201825
14 201025
15 201621
16 200717
17 201114
18 201613
19 201712
20 201611

About Daniel Spikol

Daniel Spikol is a scholar working on Information Systems, Developmental and Educational Psychology, Computer Science Applications, Education and Artificial Intelligence, having authored 67 papers that have together received 807 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (31 papers), Mobile Learning in Education (30 papers), Online Learning and Analytics (26 papers), Online and Blended Learning (7 papers), Teaching and Learning Programming (7 papers), ICT in Developing Communities (6 papers), Experimental Learning in Engineering (6 papers) and Educational Games and Gamification (6 papers). The work is most often cited by research in Computer Science Applications (299 citations), Developmental and Educational Psychology (349 citations), Information Systems (359 citations), Human-Computer Interaction (52 citations) and Education (230 citations). Daniel Spikol has collaborated with scholars based in Sweden, United Kingdom and Denmark. Frequent co-authors include Marcelo Milrad, Mutlu Cukurova, Emanuele Ruffaldi, Arianit Kurti, Giacomo Dabisias, Bahtijar Vogel, Johan Eliasson, Teresa Cerratto Pargman, Katerina Avramides and Roy Pea. Their work appears in journals such as Journal of Computer Assisted Learning, International Journal of Mobile Learning and Organisation, IEEE Access, International Journal of Computer-Supported Collaborative Learning and International Journal of Child-Computer Interaction.

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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