James E. Willis
Impact in
-
- 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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- Electron and X-Ray Spectroscopy Techniques 4
- Co-authors
- H. James Sallach (4 shared papers)Paul Prinsloo (1 shared paper)Sharon Slade (1 shared paper)Matthew D. Pistilli (3 shared papers)John P. Campbell (1 shared paper)Victor M. H. Borden (1 shared paper)Kim Flintoff (1 shared paper)S. Serge Barold (2 shared papers)
- Journals
- Journal for the Study of Radicalism (1 paper)Archives of Biochemistry and Biophysics (1 paper)International Journal of Public Administration (1 paper)Clinical Chemistry (1 paper)AEM Education and Training (1 paper)
- Partner nations
- United StatesRussiaAustralia
In The Last Decade
James E. Willis
30 papers receiving 376 citations
Peers
Comparison fields: 5 of 100
- Computer Science Applications 144
- Biochemistry 102
- Health Informatics 18
- Clinical Biochemistry 37
- Cancer Research 34
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 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 1962 | 78 | |
| 3 | 1964 | 49 | |
| 4 | Ethics, Big Data, and Analytics: A Model for Application | 2013 | 31 |
| 5 | 1963 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2016 | 19 | |
| 9 | 1962 | 10 | |
| 10 | 1989 | 8 | |
| 11 | 1982 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 1987 | 6 | |
| 14 | 1966 | 6 | |
| 15 | Ethical Discourse: Guiding the Future of Learning Analytics | 2014 | 6 |
| 16 | 2019 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 1989 | 5 | |
| 19 | 1983 | 5 | |
| 20 | 2020 | 5 |
About James E. Willis
James E. Willis is a scholar working on Computer Science Applications, Surfaces, Coatings and Films, Biochemistry, Radiation and Education, having authored 30 papers that have together received 437 indexed citations. Recurring topics across this work include Online Learning and Analytics (8 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), Polyamine Metabolism and Applications (3 papers), Online and Blended Learning (3 papers), Amino Acid Enzymes and Metabolism (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Enzyme function and inhibition (3 papers). The work is most often cited by research in Computer Science Applications (144 citations), Biochemistry (102 citations), Health Informatics (18 citations), Clinical Biochemistry (37 citations) and Cancer Research (34 citations). James E. Willis has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include H. James Sallach, Paul Prinsloo, Sharon Slade, Matthew D. Pistilli, John P. Campbell, John P. Campbell, Victor M. H. Borden, Kim Flintoff, S. Serge Barold and Luiz Fernando Muniz Pinheiro. Their work appears in journals such as Journal for the Study of Radicalism, Archives of Biochemistry and Biophysics, International Journal of Public Administration, Clinical Chemistry and AEM Education and Training.
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.