Kim Flintoff

1.6k citations
10 papers · 661 · 1 hit paper · h-index 6

Impact in

Papers in

Kim Flintoff

10 papers receiving 623 citations

Kim Flintoff's Hit Papers

Digital badges in education 2013 · 268 citations
2680+4+8Years since publication50100150200250

Peers

Kim Flintoff
Comparison fields: 5 of 94
  • Computer Science Applications 114
  • Developmental and Educational Psychology 167
  • Immunology 196
  • Education 170
  • Rheumatology 75
Replace Jennifer Holbrook with:
Jennifer Holbrook United States
Ana Remesal Spain
Saleh Alharbi Saudi Arabia
Chie Adachi Australia
Ton Peeters Netherlands
Eleni Adamopoulou Germany
Helen Caldwell United Kingdom
Carol K. K. Chan Hong Kong
Kevin C. Haudek United States
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Kim Flintoff relative to Jennifer Holbrook United States Jennifer Holbrook's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kim Flintoff

Since Specialization
Citations

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

Fields of papers citing papers by Kim Flintoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2007271
2
Digital badges in education
Hit paper breakdown →
2013268
3
Advancing mobile learning in formal and informal settings via mobile app technology: Where to from here, and how?
201683
4 201613
5 201910
6
Digital curation: Opportunities for learning, teaching, research and professional development
20146
7 20054
8 20103
9
PD for ML in HE: Embedding mobile learning in a university context
20122
10 20161

About Kim Flintoff

Kim Flintoff is a scholar working on Education, Developmental and Educational Psychology, Information Systems, Infectious Diseases and Communication, having authored 10 papers that have together received 661 indexed citations. Recurring topics across this work include Educational Games and Gamification (2 papers), Mobile Learning in Education (2 papers), Tourism, Volunteerism, and Development (1 paper), Innovations in Educational Methods (1 paper), Online and Blended Learning (1 paper), Literacy, Media, and Education (1 paper), Theatre and Performance Studies (1 paper) and Sustainability in Higher Education (1 paper). The work is most often cited by research in Computer Science Applications (114 citations), Developmental and Educational Psychology (167 citations), Immunology (196 citations), Education (170 citations) and Rheumatology (75 citations). Kim Flintoff has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include David Gibson, Sheryl Grant, Nathaniel Ostashewski, Ferial Khaddage, Wolfgang Müller, Yanick J. Crow, Ann M. O’Hara, William G. Newman, Scott Harvey and Thomas Hollis. Their work appears in journals such as Sustainability, Pediatric Nephrology, Educational Technology & Society, Australasian Journal of Paramedicine and Education and Information Technologies.

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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