Amber Settle

1.8k citations
84 papers · 1.4k · h-index 19

Impact in

Papers in

Amber Settle

79 papers receiving 1.3k citations

Peers

Amber Settle
Comparison fields: 5 of 70
  • Computer Science Applications 1.0k
  • Developmental and Educational Psychology 482
  • Software 113
  • Information Systems 317
  • Media Technology 117
Replace Jesús Moreno-León with:
Jesús Moreno-León Spain
Joyce Malyn‐Smith United States
Eric S. Roberts United States
Arnold Pears Sweden
Briana B. Morrison United States
Brian Hanks United States
Charles P. Riedesel United States
Michael E. Caspersen Denmark
Neil C. C. Brown United Kingdom
Cary Laxer United States
Amber Settle relative to Jesús Moreno-León Spain Jesús Moreno-León's profile →
Citations per field
00.5×2×3×3.6×
Jesús Moreno-León · 1×
Citations per year

Countries citing papers authored by Amber Settle

Since Specialization
Citations

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

Fields of papers citing papers by Amber Settle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014262
2 2012112
3 2010108
4 201667
5 201663
6 200546
7 201546
8 201745
9 200940
10 201232
11 201831
12 202131
13 201630
14 201129
15 201525
16 200925
17 200222
18 201320
19 200420
20 200819

About Amber Settle

Amber Settle is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Media Technology and Education, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Teaching and Learning Programming (46 papers), Online Learning and Analytics (19 papers), Information Systems Education and Curriculum Development (13 papers), Educational Games and Gamification (13 papers), Innovative Teaching and Learning Methods (11 papers), Digital Games and Media (10 papers), Experimental Learning in Engineering (8 papers) and Gender and Technology in Education (7 papers). The work is most often cited by research in Computer Science Applications (1.0k citations), Developmental and Educational Psychology (482 citations), Software (113 citations), Information Systems (317 citations) and Media Technology (117 citations). Amber Settle has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Monica M. McGill, Claudio Mirolo, Linda Mannila, Ljubomir Perković, Nataša Grgurina, Barbara Demo, Adrienne Decker, Valentina Dagienė, Lennart Rolandsson and Craig S. Miller. Their work appears in journals such as ACM Transactions on Computing Education, Theoretical Computer Science, Informatics in Education, International Journal of Educational Research and Journal of the Association for Information Systems.

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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