James E. Willis
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- Online Learning and Analytics 8
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 3
- Health Informatics top 10%
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- Cancer, Hypoxia, and Metabolism 2
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- Enzyme function and inhibition 3
- Polyamine Metabolism and Applications 3
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- Electron and X-Ray Spectroscopy Techniques 3
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- Educational Games and Gamification 3
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- X-ray Spectroscopy and Fluorescence Analysis 3
- Co-authors
- H.J. SallachPaul PrinslooSharon SladeMatthew D. PistilliJohn P. CampbellVictor M. H. BordenS. Serge BaroldDaniel T. Hickey
- Journals
- International Journal of Public Administration (1 paper)AEM Education and Training (1 paper)Phytochemistry (1 paper)
- Partner nations
- United StatesRussiaSouth Africa
In The Last Decade
James E. Willis
25 papers receiving 283 citations
Peers
Comparison fields: 5 of 96
- Computer Science Applications 86
- Biochemistry 96
- Health Informatics 13
- Clinical Biochemistry 35
- Cancer Research 31
Countries citing papers authored by James E. Willis
This map shows the geographic impact of James E. Willis'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 James E. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Willis more than expected).
Fields of papers citing papers by James E. Willis
This network shows the impact of papers produced by James E. Willis. 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 James E. Willis. The network helps show where James E. Willis may publish in the future.
Co-authorship network
The 23 scholars most cited alongside James E. Willis, 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 | 2020 | 4 | |
| 2 | 2019 | 5 | |
| 3 | 2017 | 6 | |
| 4 | 2017 | 13 | |
| 5 | 2016 | 58 | |
| 6 | Digital Badges and Ethics: The Uses of Individual Learning Data in Social Contexts. | 2015 | 2 |
| 7 | Research Designs for Studying Individual and Collaborative Learning with Digital Badges. | 2015 | 1 |
| 8 | PassNote: A Feedback Tool for Improving Student Success Outcomes | 2014 | 2 |
| 9 | Proceedings of the Fourth International Conference on Learning Analytics And Knowledge | 2014 | 5 |
| 10 | 2010 | 0 | |
| 11 | 1989 | 1 | |
| 12 | 1988 | 4 | |
| 13 | 1987 | 1 | |
| 14 | 1983 | 5 | |
| 15 | 1982 | 7 | |
| 16 | 1981 | 1 | |
| 17 | 1966 | 5 | |
| 18 | 1964 | 47 | |
| 19 | 1962 | 8 | |
| 20 | 1962 | 73 |
About James E. Willis
James E. Willis is a scholar working on Computer Science Applications, Health Informatics, Surfaces, Coatings and Films, Biochemistry and Radiation, having authored 30 papers that have together received 317 indexed citations. Recurring topics across this work include Online Learning and Analytics (8 papers), Amino Acid Enzymes and Metabolism (3 papers), Enzyme function and inhibition (3 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Educational Games and Gamification (3 papers), Polyamine Metabolism and Applications (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Computer Science Applications (86 citations), Biochemistry (96 citations), Health Informatics (13 citations), Clinical Biochemistry (35 citations) and Cancer Research (31 citations). James E. Willis has collaborated with scholars based in United States, Russia and South Africa. Frequent co-authors include H.J. Sallach, Paul Prinsloo, Sharon Slade, Matthew D. Pistilli, John P. Campbell, Victor M. H. Borden, S. Serge Barold, Daniel T. Hickey, Robert A. Heinle and Ling S. Ong. Their work appears in journals such as International Journal of Public Administration, AEM Education and Training, Phytochemistry, Educational Technology Research and Development and Archives of Biochemistry and Biophysics.
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.