James E. Willis
Impact in
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- Online Learning and Analytics
- E-Learning and Knowledge Management
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
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- Online Learning and Analytics 8
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- Enzyme function and inhibition 3
- Polyamine Metabolism and Applications 3
- Co-authors
- H.J. Sallach (4 shared papers)Paul Prinsloo (1 shared paper)Sharon Slade (1 shared paper)Matthew D. Pistilli (2 shared papers)John P. Campbell (1 shared paper)Victor M. H. Borden (1 shared paper)Daniel T. Hickey (3 shared papers)Arlene Chung (1 shared paper)
- Journals
- Clinical Chemistry (1 paper)Educational Technology Research and Development (1 paper)Archives of Biochemistry and Biophysics (1 paper)Sixteenth Century Journal (1 paper)International Journal of Public Administration (1 paper)
- Partner nations
- United StatesRussiaSouth Africa
In The Last Decade
James E. Willis
25 papers receiving 287 citations
Peers
Comparison fields: 5 of 94
- Computer Science Applications 88
- Biochemistry 93
- 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-authors
The 24 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1962 | 73 | |
| 2 | 2016 | 62 | |
| 3 | 1964 | 47 | |
| 4 | Ethics, Big Data, and Analytics: A Model for Application | 2013 | 24 |
| 5 | 1963 | 19 | |
| 6 | 2017 | 14 | |
| 7 | 1962 | 8 | |
| 8 | 1989 | 7 | |
| 9 | 1982 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 1987 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 1983 | 5 | |
| 14 | 1966 | 5 | |
| 15 | Proceedings of the Fourth International Conference on Learning Analytics And Knowledge | 2014 | 5 |
| 16 | 1989 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 1988 | 3 | |
| 19 | Ethical Discourse: Guiding the Future of Learning Analytics | 2014 | 3 |
| 20 | 2015 | 3 |
About James E. Willis
James E. Willis is a scholar working on Computer Science Applications, Molecular Biology, Radiation, Artificial Intelligence and Biochemistry, having authored 30 papers that have together received 321 indexed citations. Recurring topics across this work include Online Learning and Analytics (8 papers), Amino Acid Enzymes and Metabolism (3 papers), Educational Games and Gamification (3 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Enzyme function and inhibition (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Polyamine Metabolism and Applications (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Computer Science Applications (88 citations), Biochemistry (93 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, Daniel T. Hickey, Arlene Chung, Michael D. Falkoff and Creed W. Abell. Their work appears in journals such as Clinical Chemistry, Educational Technology Research and Development, Archives of Biochemistry and Biophysics, Sixteenth Century Journal and International Journal of Public Administration.
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.