Adrienne Decker

966 citations
67 papers · 628 · h-index 15

Impact in

Papers in

Adrienne Decker

62 papers receiving 607 citations

Peers

Adrienne Decker
Comparison fields: 5 of 59
  • Computer Science Applications 436
  • Developmental and Educational Psychology 208
  • Gender Studies 116
  • Software 32
  • Media Technology 69
Replace Monica M. McGill with:
Monica M. McGill United States
Lijun Ni United States
Veronica Cateté United States
Ninger Zhou United States
Johannes Magenheim Germany
Briana B. Morrison United States
Rebecca Vivian Australia
Maria Knobelsdorf Germany
Brian Dorn United States
Ira Diethelm Germany
Adrienne Decker relative to Monica M. McGill United States Monica M. McGill's profile →
Citations per field
00.5×1.5×
Monica M. McGill · 1×
Citations per year

Countries citing papers authored by Adrienne Decker

Since Specialization
Citations

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

Fields of papers citing papers by Adrienne Decker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201553
2 201950
3 202046
4 200630
5 201630
6 201627
7 201926
8 201323
9 201722
10
A tale of two paradigms
200321
11 201821
12 201517
13 201617
14 200616
15 201714
16 202014
17 201914
18 202013
19 200712
20 201911

About Adrienne Decker

Adrienne Decker is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Gender Studies, Information Systems and Education, having authored 67 papers that have together received 628 indexed citations. Recurring topics across this work include Teaching and Learning Programming (42 papers), Online Learning and Analytics (21 papers), Educational Games and Gamification (18 papers), Gender and Technology in Education (14 papers), Innovative Teaching and Learning Methods (10 papers), Digital Games and Media (8 papers), Experimental Learning in Engineering (6 papers) and Child Development and Digital Technology (5 papers). The work is most often cited by research in Computer Science Applications (436 citations), Developmental and Educational Psychology (208 citations), Gender Studies (116 citations), Software (32 citations) and Media Technology (69 citations). Adrienne Decker has collaborated with scholars based in United States, Denmark and Slovenia. Frequent co-authors include Monica M. McGill, Lauren E. Margulieux, Briana B. Morrison, Amber Settle, Kimberly Voll, Bruce R. Maxim, Roger Smith, Michael E. Caspersen, Tom McKlin and Brian M. McSkimming. Their work appears in journals such as Computer Science Education, International Journal of STEM Education, ACM Transactions on Computing Education, Education Sciences and Journal of computing sciences in colleges.

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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