Kudakwashe Dube
- Artificial Intelligence top 5%
- Health Information Management top 1%
- General Health Professions
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Scott McLachlanThomas GallagherJason WalonoskiM KrámerJoseph C. NicholsNorman FentonDylan HallAndre Quina
- Topics
- Electronic Health Records Systems (16 papers)Clinical practice guidelines implementation (10 papers)Biomedical Text Mining and Ontologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Medical Informatics AssociationFluid Phase Equilibria
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
Kudakwashe Dube
32 papers receiving 438 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 206
- Health Information Management 115
- General Health Professions 63
- Public Health, Environmental and Occupational Health 54
- Molecular Biology 53
Countries citing papers authored by Kudakwashe Dube
This map shows the geographic impact of Kudakwashe Dube'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 Kudakwashe Dube with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kudakwashe Dube more than expected).
Fields of papers citing papers by Kudakwashe Dube
This network shows the impact of papers produced by Kudakwashe Dube. 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 Kudakwashe Dube. The network helps show where Kudakwashe Dube may publish in the future.
Co-authorship network of co-authors of Kudakwashe Dube
This figure shows the co-authorship network connecting the top 25 collaborators of Kudakwashe Dube. A scholar is included among the top collaborators of Kudakwashe Dube based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kudakwashe Dube. Kudakwashe Dube is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 28 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 28 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 213 | |
| 14 | 28 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 2 |
About Kudakwashe Dube
Kudakwashe Dube is a scholar working on Health Information Management, Public Health, Environmental and Occupational Health and Management Information Systems, having authored 33 papers that have together received 479 indexed citations. Recurring topics across this work include Electronic Health Records Systems (16 papers), Clinical practice guidelines implementation (10 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Health Informatics (40 citations), Health Information Management (115 citations) and Artificial Intelligence (206 citations). Kudakwashe Dube has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Scott McLachlan, Thomas Gallagher, Jason Walonoski, M Krámer, Joseph C. Nichols, Norman Fenton, Dylan Hall, Andre Quina, Bing Wu and Evangelia Kyrimi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Fluid Phase Equilibria.
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.