William Babbitt
Impact in
-
- Teaching and Learning Programming
- Gender Studies top 10%
- Gender and Technology in Education
Papers in
-
- Teaching and Learning Programming 6
-
- Innovative Teaching and Learning Methods 5
- Science Education and Perceptions 2
- Co-authors
- Michael Lachney (16 shared papers)Ron Eglash (15 shared papers)Audrey Bennett (12 shared papers)James Davis (3 shared papers)Martin Reinhardt (2 shared papers)Lionel Robert (3 shared papers)Kathryn M. Rich (1 shared paper)Girish N. Vyas (1 shared paper)
- Journals
- AI & Society (1 paper)Educational Technology Research and Development (1 paper)ACM Transactions on Computing Education (1 paper)TechTrends (1 paper)Interactive Learning Environments (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
William Babbitt
17 papers receiving 298 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 125
- Gender Studies 54
- Human-Computer Interaction 33
- Education 134
- Human Factors and Ergonomics 8
Countries citing papers authored by William Babbitt
This map shows the geographic impact of William Babbitt'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 William Babbitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Babbitt more than expected).
Fields of papers citing papers by William Babbitt
This network shows the impact of papers produced by William Babbitt. 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 William Babbitt. The network helps show where William Babbitt may publish in the future.
Co-authors
The 15 scholars most cited alongside William Babbitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2015 | 39 | |
| 3 | 2019 | 32 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2016 | 18 | |
| 10 | 2016 | 15 | |
| 11 | Software Design in the “Construction Genre” of Learning Technology: Content Aware versus Content Agnostic | 2016 | 11 |
| 12 | 2020 | 9 | |
| 13 | 2007 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 5 | |
| 16 | 2017 | 3 | |
| 17 | Automation for the Artisanal Economy: Enhancing the Economic and Environmental Sustainability of Crafting Professions with Human-Machine Collaboration | 2019 | 1 |
About William Babbitt
William Babbitt is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Education, Gender Studies and Automotive Engineering, having authored 17 papers that have together received 316 indexed citations. Recurring topics across this work include Teaching and Learning Programming (6 papers), Innovative Teaching and Learning Methods (5 papers), Gender and Technology in Education (3 papers), Child Development and Digital Technology (3 papers), Digital Transformation in Industry (2 papers), Science Education and Perceptions (2 papers), Innovative Human-Technology Interaction (2 papers) and Crafts, Textile, and Design (2 papers). The work is most often cited by research in Computer Science Applications (125 citations), Gender Studies (54 citations), Human-Computer Interaction (33 citations), Education (134 citations) and Human Factors and Ergonomics (8 citations). William Babbitt has collaborated with scholars based in United States and Brazil. Frequent co-authors include Michael Lachney, Ron Eglash, Audrey Bennett, James Davis, Martin Reinhardt, Lionel Robert, Kathryn M. Rich, Girish N. Vyas, David Hughes and Michael Mascarenhas. Their work appears in journals such as AI & Society, Educational Technology Research and Development, ACM Transactions on Computing Education, TechTrends and Interactive Learning Environments.
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.