Nicholas Lytle
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
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- Educational Games and Gamification
- Innovative Teaching and Learning Methods
Papers in ⓘ
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- Teaching and Learning Programming 26
- Online Learning and Analytics 9
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- Educational Games and Gamification 11
- Innovative Teaching and Learning Methods 5
- Co-authors
- Tiffany Barnes (20 shared papers)Veronica Cateté (18 shared papers)Yihuan Dong (10 shared papers)Thomas Price (6 shared papers)Rui Zhi (4 shared papers)Robin Jocius (3 shared papers)Jennifer Albert (3 shared papers)Deepti Joshi (3 shared papers)
- Journals
- International Journal of Artificial Intelligence in Education (1 paper)International Journal of Serious Games (1 paper)Educational Data Mining (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Nicholas Lytle
30 papers receiving 329 citations
Peers
Comparison fields: 5 of 36
- Computer Science Applications 297
- Developmental and Educational Psychology 159
- Software 24
- Gender Studies 32
- Information Systems 74
Countries citing papers authored by Nicholas Lytle
This map shows the geographic impact of Nicholas Lytle'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 Nicholas Lytle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Lytle more than expected).
Fields of papers citing papers by Nicholas Lytle
This network shows the impact of papers produced by Nicholas Lytle. 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 Nicholas Lytle. The network helps show where Nicholas Lytle may publish in the future.
Co-authors
The 23 scholars most cited alongside Nicholas Lytle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2019 | 49 | |
| 3 | 2020 | 33 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 7 | |
| 12 | 2019 | 7 | |
| 13 | Toward Data-Driven Example Feedback for Novice Programming. | 2019 | 6 |
| 14 | 2018 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 2 |
About Nicholas Lytle
Nicholas Lytle is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Software, Information Systems and Media Technology, having authored 34 papers that have together received 338 indexed citations. Recurring topics across this work include Teaching and Learning Programming (26 papers), Educational Games and Gamification (11 papers), Online Learning and Analytics (9 papers), Innovative Teaching and Learning Methods (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Software Testing and Debugging Techniques (4 papers), Software Engineering Techniques and Practices (4 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Computer Science Applications (297 citations), Developmental and Educational Psychology (159 citations), Software (24 citations), Gender Studies (32 citations) and Information Systems (74 citations). Nicholas Lytle has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Tiffany Barnes, Veronica Cateté, Yihuan Dong, Thomas Price, Rui Zhi, Robin Jocius, Jennifer Albert, Deepti Joshi, Richard D. Robinson and Samiha Marwan. Their work appears in journals such as International Journal of Artificial Intelligence in Education, International Journal of Serious Games and Educational Data Mining.
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.