Daniel Spikol

1.6k citations
69 papers · 852 · h-index 16

Impact in

Papers in

Daniel Spikol

61 papers receiving 780 citations

Peers

Daniel Spikol
Comparison fields: 5 of 80
  • Computer Science Applications 308
  • Developmental and Educational Psychology 361
  • Information Systems 361
  • Human-Computer Interaction 55
  • Education 236
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Tzu‐Chi Yang Taiwan
Tsukasa Hirashima Japan
Shengquan Yu China
Estefanía Martín Spain
Katherine Chiluiza Ecuador
Stelios Xinogalos Greece
Wannisa Matcha Malaysia
Ivica Botički Croatia
Aldo Gordillo Spain
Patrícia Santos Spain
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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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 201058
3 200850
4 202448
5
Anytime, Anywhere Learning Supported by Smart Phones: Experiences and Results from the MUSIS Project
200738
6 201738
7 200834
8 200933
9 201732
10 202332
11 200831
12 202031
13 201826
14 201025
15 201621
16 200717
17 201114
18 201613
19 201712
20 202411

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 69 papers that have together received 852 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (32 papers), Mobile Learning in Education (31 papers), Online Learning and Analytics (27 papers), Teaching and Learning Programming (8 papers), Online and Blended Learning (7 papers), Educational Games and Gamification (6 papers), ICT in Developing Communities (6 papers) and Experimental Learning in Engineering (6 papers). The work is most often cited by research in Computer Science Applications (308 citations), Developmental and Educational Psychology (361 citations), Information Systems (361 citations), Human-Computer Interaction (55 citations) and Education (236 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, Eva-Sophie Katterfeldt and Heidy Maldonado. Their work appears in journals such as Journal of Computer Assisted Learning, International Journal of Mobile Learning and Organisation, Educational Technology & Society, IEEE Access and British Journal of Educational Technology.

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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