Gavin Ambrose

40 papers receiving 330 citations

Peers

Gavin Ambrose
Comparison fields: 5 of 84
  • Computer Science Applications 151
  • Health Informatics 7
  • Architecture 6
  • Conservation 13
  • Education 102
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Katja Thoring Germany
Lorella Gabriele Italy
Patrícia Santos Spain
Leon Cruickshank United Kingdom
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Citations per year

Countries citing papers authored by Gavin Ambrose

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Ambrose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201446
2 201433
3
Student Emotion, Co-Occurrence, and Dropout in a MOOC Context.
201629
4 200824
5
Basics Design: Design Thinking
200922
6 201921
7 201920
8
Packaging the Brand: The Relationship Between Packaging Design and Brand Identity
201119
9 201914
10
Design Thinking
201014
11 201114
12
The Blended Advising Model: Transforming Advising with ePortfolios.
201313
13 201913
14 201610
15 20239
16
Basic design 08: design thinking
20107
17 20167
18 20226
19 20074
20 20154

About Gavin Ambrose

Gavin Ambrose is a scholar working on Education, Computer Science Applications, Artificial Intelligence, Marketing and Developmental and Educational Psychology, having authored 48 papers that have together received 375 indexed citations. Recurring topics across this work include Online Learning and Analytics (11 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Reflective Practices in Education (5 papers), Online and Blended Learning (4 papers), Consumer Packaging Perceptions and Trends (3 papers), Innovations in Educational Methods (3 papers), Innovative Teaching and Learning Methods (3 papers) and Digital Media and Visual Art (2 papers). The work is most often cited by research in Computer Science Applications (151 citations), Health Informatics (7 citations), Architecture (6 citations), Conservation (13 citations) and Education (102 citations). Gavin Ambrose has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Paul Harris, Nitesh V. Chawla, Everaldo Aguiar, Jay Brockman, Malolan Chetlur, Bikram Sengupta, Chaoli Wang, Sidney K. D’Mello, Nigel Bosch and Paul G. Harris. Their work appears in journals such as Journal of Learning Analytics, Education and Information Technologies, Journal of Computer Assisted Learning, Theory Into Practice and Visual Informatics.

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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