Gail Chapman

761 citations
25 papers · 447 · h-index 9

Impact in

Papers in

Gail Chapman

24 papers receiving 422 citations

Peers

Gail Chapman
Comparison fields: 5 of 41
  • Computer Science Applications 369
  • Gender Studies 190
  • Developmental and Educational Psychology 108
  • Human Factors and Ergonomics 20
  • Media Technology 56
Replace Ira Diethelm with:
Ira Diethelm Germany
Maria Knobelsdorf Germany
Elizabeth Patitsas Canada
Maureen Biggers United States
Phil Sands United States
Simon Humphreys United Kingdom
Andrew Csizmadia United Kingdom
Johannes Magenheim Germany
Cameron Wilson United States
Kathryn M. Rich United States
Gail Chapman relative to Ira Diethelm Germany Ira Diethelm's profile →
Citations per field
00.5×
Ira Diethelm · 1×
Citations per year

Countries citing papers authored by Gail Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Gail Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2 2012111
3 201267
4 201538
5 202026
6 201413
7 201313
8 201412
9 20179
10 20006
11
Online Professional Development for Computer Science Teachers: Gender-Inclusive Instructional Design Strategies
20204
12 20194
13 20194
14 20243
15 19973
16 20003
17 20153
18 20232
19 20162
20 20172

About Gail Chapman

Gail Chapman is a scholar working on Computer Science Applications, Gender Studies, Information Systems, Education and Media Technology, having authored 25 papers that have together received 447 indexed citations. Recurring topics across this work include Teaching and Learning Programming (20 papers), Gender and Technology in Education (13 papers), Child Development and Digital Technology (7 papers), Online Learning and Analytics (5 papers), Open Education and E-Learning (3 papers), Experimental Learning in Engineering (3 papers), Innovative Teaching and Learning Methods (2 papers) and Mobile Learning in Education (2 papers). The work is most often cited by research in Computer Science Applications (369 citations), Gender Studies (190 citations), Developmental and Educational Psychology (108 citations), Human Factors and Ergonomics (20 citations) and Media Technology (56 citations). Gail Chapman has collaborated with scholars based in United States and Canada. Frequent co-authors include Joanna Goode, Jane Margolis, Jean J. Ryoo, Kirsten Peterson, Joyce Malyn‐Smith, Owen Astrachan, Cameron Wilson, Jeanne Century, Mark Guzdial and David Gries. Their work appears in journals such as Computing in Science & Engineering, Communications of the ACM, Journal of Research on Technology in Education, ACM Inroads and ACM SIGCSE Bulletin.

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.

Explore authors with similar magnitude of impact