Allison Elliott Tew

1.2k citations
17 papers · 717 indexed · h-index 15

Allison Elliott Tew

17 papers receiving 696 citations

Peers

Allison Elliott Tew
Comparison fields: 5 of 39
  • Computer Science Applications 628
  • Developmental and Educational Psychology 305
  • Media Technology 167
  • Software 61
  • Gender Studies 97
Replace Michael de Raadt with:
Michael de Raadt Australia
Lisa C. Kaczmarczyk United States
Henry M. Walker United States
Charles Riedesel United States
Jana Jacková Slovakia
Sze Yee Lye Singapore
Lijun Ni United States
Brenda Cantwell Wilson United States
Said Hadjerrouit Norway
Rebecca Vivian Australia
Allison Elliott Tew relative to Michael de Raadt Australia Michael de Raadt's profile →
Citations per field
00.5×4.6×
Michael de Raadt · 1×
Citations per year

Countries citing papers authored by Allison Elliott Tew

Since Specialization
Citations

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

Fields of papers citing papers by Allison Elliott Tew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison Elliott Tew. 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 Allison Elliott Tew. The network helps show where Allison Elliott Tew may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Allison Elliott Tew, 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 Allison Elliott Tew Line = papers co-authored together Allison Elliott Tew links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202111
2 201575
3 201337
4 201316
5 201317
6 201219
7 2011109
8 201135
9 2010109
10 200822
11 20078
12 200628
13 200665
14 200649
15 200545
16 200531
17 200541

About Allison Elliott Tew

Allison Elliott Tew is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Media Technology, having authored 17 papers that have together received 717 indexed citations. Recurring topics across this work include Teaching and Learning Programming (12 papers), Online Learning and Analytics (9 papers), Innovative Teaching and Learning Methods (7 papers), Experimental Learning in Engineering (6 papers), Educational Games and Gamification (4 papers), Gender and Technology in Education (3 papers), Online and Blended Learning (2 papers) and Open Source Software Innovations (2 papers). The work is most often cited by research in Computer Science Applications (628 citations), Developmental and Educational Psychology (305 citations) and Media Technology (167 citations). Allison Elliott Tew has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Mark Guzdial, Brian Dorn, Charles W. Fowler, Vicki L. Almstrum, Cinda Heeren, Peter Henderson, Leen‐Kiat Soh, Wendy McCracken, Charles Riedesel and Lijun Ni. Their work appears in journals such as Computer, Computer Science Education and Kent Academic Repository (University of Kent).

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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