Mike Joy

5.6k citations
203 papers · 3.4k · 1 hit paper · h-index 25

Impact in

Papers in

Mike Joy

189 papers receiving 3.0k citations

Mike Joy's Hit Papers

Evaluating E-learning systems success: An empirical study 2019 · 797 citations
7970+2+4Years since publication250500750

Peers

Mike Joy
Comparison fields: 5 of 125
  • Computer Science Applications 972
  • Software 316
  • Health Informatics 79
  • Safety Research 496
  • Information Systems 1.3k
Replace Jane Sinclair with:
Jane Sinclair United Kingdom
Paul Denny New Zealand
Erkki Sutinen Finland
Daniel Burgos Spain
Gregório Robles Spain
Susan Wiedenbeck United States
Yannis Dimitriadis Spain
Abelardo Pardo Australia
Maria Virvou Greece
Rachel Bellamy United States
Mike Joy relative to Jane Sinclair United Kingdom Jane Sinclair's profile →
Citations per field
00.5×3.2×
Jane Sinclair · 1×
Citations per year

Countries citing papers authored by Mike Joy

Since Specialization
Citations

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

Fields of papers citing papers by Mike Joy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluating E-learning systems success: An empirical study
Hit paper breakdown →
2019797
2 2007232
3 1999193
4 2005190
5 2011136
6 2008106
7 201976
8 200469
9 200858
10 200452
11 201045
12 199944
13 200440
14 200738
15 201337
16 199836
17 200732
18
The Use of Learning Objects and Learning Styles in a Multi-Agent Education System
200532
19 201631
20 201030

About Mike Joy

Mike Joy is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Education and Developmental and Educational Psychology, having authored 203 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mobile Learning in Education (39 papers), Teaching and Learning Programming (29 papers), Innovative Teaching and Learning Methods (26 papers), Software Engineering Research (25 papers), Online and Blended Learning (21 papers), ICT in Developing Communities (20 papers), Experimental Learning in Engineering (19 papers) and Online Learning and Analytics (19 papers). The work is most often cited by research in Computer Science Applications (972 citations), Software (316 citations), Health Informatics (79 citations), Safety Research (496 citations) and Information Systems (1.3k citations). Mike Joy has collaborated with scholars based in United Kingdom, Finland and Thailand. Frequent co-authors include Jane Sinclair, Dimah Al-Fraihat, Ra’ed Masa’deh, G. Flucke, Georgina Cosma, Jirarat Sitthiworachart, Jane Yin-Kim Yau, Nathan Griffiths, Russell Boyatt and Teemu H. Laine. Their work appears in journals such as Software Practice and Experience, IEEE Transactions on Learning Technologies, IEEE Transactions on Education, Educational Technology & Society and ACM Transactions on Computing 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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