Kyle M. Williams
Impact in
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- Online Learning and Analytics
- E-Learning and Knowledge Management
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- Innovative Teaching and Learning Methods
Papers in
- Education 13
- Online and Blended Learning 8
- Student Assessment and Feedback 5
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- Communication in Education and Healthcare 4
- Co-authors
- Diane L. Schallert (13 shared papers)Zachary Williamson (7 shared papers)Carlton J. Fong (5 shared papers)Shengjie Lin (5 shared papers)Stephanie B. Corliss (2 shared papers)Rose E Stafford (2 shared papers)Erin D. Reilly (2 shared papers)Jayce R. Warner (2 shared papers)
- Journals
- Computers & Education (2 papers)The International Review of Research in Open and Distributed Learning (1 paper)Educational Theory (1 paper)Assessing Writing (1 paper)Motivation and Emotion (1 paper)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Kyle M. Williams
17 papers receiving 359 citations
Peers
Comparison fields: 5 of 54
- Computer Science Applications 106
- Developmental and Educational Psychology 97
- Education 224
- Experimental and Cognitive Psychology 47
- Language and Linguistics 29
Countries citing papers authored by Kyle M. Williams
This map shows the geographic impact of Kyle M. Williams'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 Kyle M. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle M. Williams more than expected).
Fields of papers citing papers by Kyle M. Williams
This network shows the impact of papers produced by Kyle M. Williams. 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 Kyle M. Williams. The network helps show where Kyle M. Williams may publish in the future.
Co-authors
The 17 scholars most cited alongside Kyle M. Williams, 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 | 2018 | 63 | |
| 2 | 2018 | 53 | |
| 3 | 2016 | 46 | |
| 4 | 2014 | 39 | |
| 5 | 2014 | 36 | |
| 6 | 2017 | 33 | |
| 7 | 2021 | 33 | |
| 8 | 2016 | 21 | |
| 9 | 2017 | 15 | |
| 10 | 2017 | 9 | |
| 11 | 2015 | 6 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2014 | 2 | |
| 18 | 2025 | 0 |
About Kyle M. Williams
Kyle M. Williams is a scholar working on Education, Social Psychology, Developmental and Educational Psychology, Speech and Hearing and Literature and Literary Theory, having authored 18 papers that have together received 371 indexed citations. Recurring topics across this work include Online and Blended Learning (8 papers), Student Assessment and Feedback (5 papers), Communication in Education and Healthcare (4 papers), Literacy, Media, and Education (3 papers), Digital Storytelling and Education (3 papers), EFL/ESL Teaching and Learning (3 papers), Innovative Teaching and Learning Methods (3 papers) and Discourse Analysis in Language Studies (2 papers). The work is most often cited by research in Computer Science Applications (106 citations), Developmental and Educational Psychology (97 citations), Education (224 citations), Experimental and Cognitive Psychology (47 citations) and Language and Linguistics (29 citations). Kyle M. Williams has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Diane L. Schallert, Zachary Williamson, Carlton J. Fong, Shengjie Lin, Stephanie B. Corliss, Rose E Stafford, Erin D. Reilly, Jayce R. Warner, Linghui Chen and Kwangok Song. Their work appears in journals such as Computers & Education, The International Review of Research in Open and Distributed Learning, Educational Theory, Assessing Writing and Motivation and Emotion.
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.