Johnes Obungoloch
- Health Informatics top 10%
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- Advanced MRI Techniques and Applications 9
- Medical Imaging Techniques and Applications 4
- Artificial Intelligence top 5%
- AI in cancer detection 6
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- Atomic and Subatomic Physics Research 5
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- Digital Imaging for Blood Diseases 4
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- Cervical Cancer and HPV Research 3
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- Frequency Control in Power Systems 2
- Power System Optimization and Stability 2
- Co-authors
- Annabella Habinka Basaza‐EjiriWilliam WasswaAndrew WareAndrew WebbJulius TumwiineMartin B. van GijzenSola AdelekeSanjana Murali
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (2 papers)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- UgandaUnited KingdomNetherlands
In The Last Decade
Johnes Obungoloch
20 papers receiving 551 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 240
- Artificial Intelligence 302
- Health Information Management 39
- Neurology 48
Countries citing papers authored by Johnes Obungoloch
This map shows the geographic impact of Johnes Obungoloch'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 Johnes Obungoloch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnes Obungoloch more than expected).
Fields of papers citing papers by Johnes Obungoloch
This network shows the impact of papers produced by Johnes Obungoloch. 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 Johnes Obungoloch. The network helps show where Johnes Obungoloch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johnes Obungoloch, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 45 | |
| 8 | 2023 | 32 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 79 | |
| 12 | 2021 | 36 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 76 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 6 | |
| 18 | 2019 | 55 | |
| 19 | 2018 | 181 | |
| 20 | A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap-smear Images | 2018 | 5 |
About Johnes Obungoloch
Johnes Obungoloch is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 567 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), AI in cancer detection (6 papers), Atomic and Subatomic Physics Research (5 papers), Medical Imaging Techniques and Applications (4 papers), Digital Imaging for Blood Diseases (4 papers), Cervical Cancer and HPV Research (3 papers), Frequency Control in Power Systems (2 papers) and Power System Optimization and Stability (2 papers). The work is most often cited by research in Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (240 citations) and Artificial Intelligence (302 citations). Johnes Obungoloch has collaborated with scholars based in Uganda, United Kingdom and Netherlands. Frequent co-authors include Annabella Habinka Basaza‐Ejiri, William Wasswa, Andrew Ware, Andrew Webb, Julius Tumwiine, Martin B. van Gijzen, Sola Adeleke, Sanjana Murali, Ntobeko Ntusi and Udunna Anazodo. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Magnetic Resonance in Medicine.
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.