Elliot Mbunge
- Information Systems top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- General Health Professions top 5%
- Artificial Intelligence top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- John BataniStephen Gbenga FashotoBenhildah MuchemwaBoluwaji AkinnuwesiAndile MetfulaTafadzwa DzinamariraGoabaone GaobotseItai Chitungo
- Topics
- COVID-19 diagnosis using AI (12 papers)COVID-19 Digital Contact Tracing (8 papers)Mobile Health and mHealth Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Environmental Research and Public Health
- Partner nations
- EswatiniSouth AfricaLesotho
In The Last Decade
Elliot Mbunge
63 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Information Systems 335
- Radiology, Nuclear Medicine and Imaging 243
- General Health Professions 239
- Artificial Intelligence 216
- Public Health, Environmental and Occupational Health 185
Countries citing papers authored by Elliot Mbunge
This map shows the geographic impact of Elliot Mbunge'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 Elliot Mbunge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elliot Mbunge more than expected).
Fields of papers citing papers by Elliot Mbunge
This network shows the impact of papers produced by Elliot Mbunge. 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 Elliot Mbunge. The network helps show where Elliot Mbunge may publish in the future.
Co-authorship network of co-authors of Elliot Mbunge
This figure shows the co-authorship network connecting the top 25 collaborators of Elliot Mbunge. A scholar is included among the top collaborators of Elliot Mbunge 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 Elliot Mbunge. Elliot Mbunge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 17 | |
| 11 | 29 | |
| 12 | 12 | |
| 13 | 16 | |
| 14 | 33 | |
| 15 | 39 | |
| 16 | 23 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | A Robust And Scalable Four Factor Authentication Architecture To Enhance Security For Mobile Online Transaction | 9 |
About Elliot Mbunge
Elliot Mbunge is a scholar working on Health Informatics, Modeling and Simulation and Health Information Management, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (12 papers), COVID-19 Digital Contact Tracing (8 papers) and Mobile Health and mHealth Applications (8 papers). The work is most often cited by research in Health Informatics (81 citations), Modeling and Simulation (147 citations) and Health Information Management (92 citations). Elliot Mbunge has collaborated with scholars based in Eswatini, South Africa and Lesotho. Frequent co-authors include John Batani, Stephen Gbenga Fashoto, Benhildah Muchemwa, Boluwaji Akinnuwesi, Andile Metfula, Tafadzwa Dzinamarira, Goabaone Gaobotse, Itai Chitungo, Mathias Dzobo and Malizgani Mhango. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.
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.