John A. Erickson
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 3
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- Software Engineering Research 1
- Co-authors
- Anthony F. Botelho (5 shared papers)Neil T. Heffernan (4 shared papers)Edward Ming‐Yang Wu (1 shared paper)Luke Miratrix (1 shared paper)Adam Sales (1 shared paper)Johann A. Gagnon-Bartsch (1 shared paper)
- Journals
- International Journal of Child-Computer Interaction (1 paper)Journal of Computer Assisted Learning (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)Educational Data Mining (1 paper)
- Partner nations
- United States
In The Last Decade
John A. Erickson
5 papers receiving 76 citations
Peers
Comparison fields: 5 of 34
- Computer Science Applications 32
- Health Informatics 7
- Artificial Intelligence 38
- Statistics and Probability 7
- Education 23
Countries citing papers authored by John A. Erickson
This map shows the geographic impact of John A. Erickson'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 John A. Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Erickson more than expected).
Fields of papers citing papers by John A. Erickson
This network shows the impact of papers produced by John A. Erickson. 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 John A. Erickson. The network helps show where John A. Erickson may publish in the future.
Co-authors
The 6 scholars most cited alongside John A. Erickson, 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 | 2023 | 29 | |
| 2 | 2020 | 25 | |
| 3 | Improving Automated Scoring of Student Open Responses in Mathematics | 2021 | 12 |
| 4 | 2021 | 10 | |
| 5 | 2023 | 8 |
About John A. Erickson
John A. Erickson is a scholar working on Artificial Intelligence, Information Systems, Education, Computer Science Applications and Social Psychology, having authored 5 papers that have together received 84 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (3 papers), Online Learning and Analytics (2 papers), Statistical Methods and Bayesian Inference (1 paper), Software Engineering Research (1 paper), Advanced Causal Inference Techniques (1 paper), Educational Assessment and Pedagogy (1 paper), Statistical Methods in Clinical Trials (1 paper) and Hearing Impairment and Communication (1 paper). The work is most often cited by research in Computer Science Applications (32 citations), Health Informatics (7 citations), Artificial Intelligence (38 citations), Statistics and Probability (7 citations) and Education (23 citations). John A. Erickson has collaborated with scholars based in United States. Frequent co-authors include Anthony F. Botelho, Neil T. Heffernan, Edward Ming‐Yang Wu, Luke Miratrix, Adam Sales and Johann A. Gagnon-Bartsch. Their work appears in journals such as International Journal of Child-Computer Interaction, Journal of Computer Assisted Learning, DOAJ (DOAJ: Directory of Open Access Journals) 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.