Daniel Spikol

1.6k citations
88 papers · 1.1k · h-index 18

Impact in

Papers in

Daniel Spikol

79 papers receiving 1.1k citations

Peers

Daniel Spikol
Comparison fields: 5 of 85
  • Computer Science Applications 415
  • Developmental and Educational Psychology 492
  • Information Systems 501
  • Education 338
  • Human-Computer Interaction 65
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Tzu‐Chi Yang Taiwan
Ivica Botički Croatia
Tsukasa Hirashima Japan
Stelios Xinogalos Greece
Estefanía Martín Spain
Shengquan Yu China
Wannisa Matcha Malaysia
Patrícia Santos Spain
Chih‐Yueh Chou Taiwan
Miloš Kravčík Germany
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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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018148
2 201071
3 200863
4 202451
5
Anytime, Anywhere Learning Supported by Smart Phones: Experiences and Results from the MUSIS Project
200748
6 200846
7 201742
8 200942
9 200841
10 202040
11 201738
12 202338
13 201831
14 201030
15 201625
16 201119
17 200719
18 200917
19 201717
20 202216

About Daniel Spikol

Daniel Spikol is a scholar working on Developmental and Educational Psychology, Information Systems, Computer Science Applications, Education and Artificial Intelligence, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (41 papers), Mobile Learning in Education (37 papers), Online Learning and Analytics (34 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online and Blended Learning (9 papers), ICT in Developing Communities (8 papers), Teaching and Learning Programming (8 papers) and Educational Games and Gamification (7 papers). The work is most often cited by research in Computer Science Applications (415 citations), Developmental and Educational Psychology (492 citations), Information Systems (501 citations), Education (338 citations) and Human-Computer Interaction (65 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, Giacomo Dabisias, Bahtijar Vogel, Johan Eliasson, Teresa Cerratto Pargman, Heidy Maldonado and Roy Pea. Their work appears in journals such as Journal of Computer Assisted Learning, International Journal of Computer-Supported Collaborative Learning, Research and Practice in Technology Enhanced Learning, British Journal of Educational Technology and IEEE Access.

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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