William Babbitt
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- Teaching and Learning Programming 5
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction 2
- Gender Studies top 10%
- Gender and Technology in Education 2
- Education top 10%
- Child Development and Digital Technology 3
- Museology top 10%
- Crafts, Textile, and Design 2
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- Innovative Teaching and Learning Methods 4
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- Digital Transformation in Industry 2
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- Additive Manufacturing and 3D Printing Technologies 2
William Babbitt
14 papers receiving 227 citations
Peers
Comparison fields: 5 of 59
- Computer Science Applications 99
- Human-Computer Interaction 28
- Gender Studies 43
- Education 107
- Museology 9
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-authorship network
The 8 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 | 2021 | 24 | |
| 2 | 2021 | 4 | |
| 3 | 2021 | 24 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 28 | |
| 7 | Automation for the Artisanal Economy: Enhancing the Economic and Environmental Sustainability of Crafting Professions with Human-Machine Collaboration | 2019 | 1 |
| 8 | 2019 | 8 | |
| 9 | 2019 | 42 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 18 | |
| 12 | 2017 | 3 | |
| 13 | Software Design in the “Construction Genre” of Learning Technology: Content Aware versus Content Agnostic | 2016 | 7 |
| 14 | 2015 | 35 |
About William Babbitt
William Babbitt is a scholar working on Computer Science Applications, Museology, Business and International Management, Human Factors and Ergonomics and Developmental and Educational Psychology, having authored 14 papers that have together received 236 indexed citations. Recurring topics across this work include Teaching and Learning Programming (5 papers), Innovative Teaching and Learning Methods (4 papers), Child Development and Digital Technology (3 papers), Crafts, Textile, and Design (2 papers), Digital Transformation in Industry (2 papers), Gender and Technology in Education (2 papers), Innovative Human-Technology Interaction (2 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). The work is most often cited by research in Computer Science Applications (99 citations), Human-Computer Interaction (28 citations), Gender Studies (43 citations), Education (107 citations) and Museology (9 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 and Aman Yadav. Their work appears in journals such as TechTrends, Learning Media and Technology, Interactive Learning Environments, Educational Technology Research and Development and ACM Transactions on Computing Education.
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.