Judith Good

109 papers receiving 2.1k citations

Peers

Judith Good
Comparison fields: 5 of 106
  • Human-Computer Interaction 762
  • Computer Science Applications 448
  • Occupational Therapy 261
  • Developmental and Educational Psychology 534
  • Cognitive Neuroscience 656
Replace Juan Pablo Hourcade with:
Juan Pablo Hourcade United States
Massimo Zancanaro Italy
Christopher Frauenberger Austria
Katta Spiel Austria
Franca Garzotto Italy
Janet C. Read United Kingdom
Alissa N. Antle Canada
Jerry Alan Fails United States
Joanna McGrenere Canada
Asimina Vasalou United Kingdom
Judith Good relative to Juan Pablo Hourcade United States Juan Pablo Hourcade's profile →
Citations per field
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Citations per year

Countries citing papers authored by Judith Good

Since Specialization
Citations

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

Fields of papers citing papers by Judith Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014180
2 2011171
3 2020115
4 2011103
5 202285
6 201478
7 201969
8 201863
9 200562
10 201758
11 200857
12 201254
13 201354
14 201052
15 200852
16 201251
17 201247
18 200646
19 200140
20
BetterBlether: the design and evaluation of a discussion tool for education
199839

About Judith Good

Judith Good is a scholar working on Education, Computer Science Applications, Human-Computer Interaction, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 118 papers that have together received 2.3k indexed citations. Recurring topics across this work include Child Development and Digital Technology (35 papers), Teaching and Learning Programming (35 papers), Innovative Human-Technology Interaction (29 papers), Autism Spectrum Disorder Research (24 papers), Educational Games and Gamification (19 papers), Assistive Technology in Communication and Mobility (14 papers), Digital Games and Media (11 papers) and Innovative Teaching and Learning Methods (8 papers). The work is most often cited by research in Human-Computer Interaction (762 citations), Computer Science Applications (448 citations), Occupational Therapy (261 citations), Developmental and Educational Psychology (534 citations) and Cognitive Neuroscience (656 citations). Judith Good has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Christopher Frauenberger, Judy Robertson, Kate Howland, Wendy Keay‐Bright, Helen Pain, Alyssa M. Alcorn, Katta Spiel, Geraldine Fitzpatrick, Ole Sejer Iversen and Mark Brosnan. Their work appears in journals such as International Journal of Child-Computer Interaction, International Journal of Human-Computer Studies, International Journal of Artificial Intelligence in Education, Artificial Intelligence Review and Journal of Statistical Computation and Simulation.

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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