Julius Tumwiine
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 4
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- Mathematical and Theoretical Epidemiology and Ecology Models 10
- Malaria Research and Control 5
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- Evolution and Genetic Dynamics 7
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- Parasitic Diseases Research and Treatment 1
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- Medical Imaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- J. MugishaLivingstone S. LuboobiJohnes ObungolochMartin B. van GijzenFarai NyabadzaSenelani D. Hove‐MusekwaStephan LuckhausE. Karamura
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Mathematical Analysis and Applications (2 papers)Applied Mathematics and Computation (1 paper)
- Partner nations
- UgandaNetherlandsSouth Africa
In The Last Decade
Julius Tumwiine
16 papers receiving 396 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 175
- Public Health, Environmental and Occupational Health 260
- Genetics 125
- Infectious Diseases 47
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by Julius Tumwiine
This map shows the geographic impact of Julius Tumwiine'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 Julius Tumwiine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julius Tumwiine more than expected).
Fields of papers citing papers by Julius Tumwiine
This network shows the impact of papers produced by Julius Tumwiine. 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 Julius Tumwiine. The network helps show where Julius Tumwiine may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Julius Tumwiine, 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 | 2021 | 79 | |
| 2 | Modelling the impact of trapping blackfly vectors on the transmission of onchocerciasis | 2020 | 1 |
| 3 | 2020 | 8 | |
| 4 | 2020 | 10 | |
| 5 | A Dictionary Learning Approach for Noise-Robust Image Reconstruction in Low-Field Magnetic Resonance Imaging | 2020 | 1 |
| 6 | 2018 | 5 | |
| 7 | 2018 | 55 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 7 | |
| 10 | 2014 | 22 | |
| 11 | 2009 | 58 | |
| 12 | 2008 | 9 | |
| 13 | 2007 | 29 | |
| 14 | 2007 | 21 | |
| 15 | 2007 | 15 | |
| 16 | 2007 | 88 |
About Julius Tumwiine
Julius Tumwiine is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 16 papers that have together received 414 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Evolution and Genetic Dynamics (7 papers), Malaria Research and Control (5 papers), COVID-19 epidemiological studies (4 papers), Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Parasitic Diseases Research and Treatment (1 paper). The work is most often cited by research in Modeling and Simulation (175 citations), Public Health, Environmental and Occupational Health (260 citations) and Genetics (125 citations). Julius Tumwiine has collaborated with scholars based in Uganda, Netherlands and South Africa. Frequent co-authors include J. Mugisha, Livingstone S. Luboobi, Johnes Obungoloch, Martin B. van Gijzen, Farai Nyabadza, Senelani D. Hove‐Musekwa, Stephan Luckhaus and E. Karamura. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.