David Joyner
Impact in
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- Online Learning and Analytics
- Teaching and Learning Programming
- Health Informatics top 2%
Papers in
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- Coding theory and cryptography 26
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- Online Learning and Analytics 42
- Teaching and Learning Programming 13
- Co-authors
- Ashok K. Goel (22 shared papers)William Stein (1 shared paper)Charles L. Isbell (4 shared papers)Qiaosi Wang (4 shared papers)Heather Newman (1 shared paper)Koustuv Saha (1 shared paper)Ondřej Čertı́k (1 shared paper)Brian Granger (1 shared paper)
- Journals
- Mathematische Zeitschrift (2 papers)Journal of Computer Assisted Learning (2 papers)Online Learning (1 paper)Discrete Mathematics & Theoretical Computer Science (1 paper)Journal of Fourier Analysis and Applications (1 paper)
- Partner nations
- United StatesIrelandBrazil
In The Last Decade
David Joyner
121 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Computer Science Applications 393
- Health Informatics 52
- Safety Research 107
- Developmental and Educational Psychology 146
- Artificial Intelligence 389
Countries citing papers authored by David Joyner
This map shows the geographic impact of David Joyner'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 David Joyner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Joyner more than expected).
Fields of papers citing papers by David Joyner
This network shows the impact of papers produced by David Joyner. 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 David Joyner. The network helps show where David Joyner may publish in the future.
Co-authors
The 25 scholars most cited alongside David Joyner, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2019 | 64 | |
| 3 | 2005 | 61 | |
| 4 | 2018 | 50 | |
| 5 | 2017 | 50 | |
| 6 | 2012 | 35 | |
| 7 | 2004 | 26 | |
| 8 | 2010 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2023 | 23 | |
| 11 | 2016 | 23 | |
| 12 | 2018 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2018 | 19 | |
| 19 | An Experiment in Teaching Cognitive Systems Online | 2015 | 18 |
| 20 | 2016 | 18 |
About David Joyner
David Joyner is a scholar working on Artificial Intelligence, Computer Science Applications, Education, Geometry and Topology and Mathematical Physics, having authored 144 papers that have together received 1.1k indexed citations. Recurring topics across this work include Online Learning and Analytics (42 papers), Coding theory and cryptography (26 papers), Online and Blended Learning (22 papers), Innovative Teaching and Learning Methods (16 papers), Advanced Algebra and Geometry (15 papers), Algebraic Geometry and Number Theory (13 papers), Teaching and Learning Programming (13 papers) and Finite Group Theory Research (11 papers). The work is most often cited by research in Computer Science Applications (393 citations), Health Informatics (52 citations), Safety Research (107 citations), Developmental and Educational Psychology (146 citations) and Artificial Intelligence (389 citations). David Joyner has collaborated with scholars based in United States, Ireland and Brazil. Frequent co-authors include Ashok K. Goel, William Stein, Charles L. Isbell, Qiaosi Wang, Heather Newman, Koustuv Saha, Ondřej Čertı́k, Brian Granger, Aaron Meurer and Shan Jing. Their work appears in journals such as Mathematische Zeitschrift, Journal of Computer Assisted Learning, Online Learning, Discrete Mathematics & Theoretical Computer Science and Journal of Fourier Analysis and Applications.
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.