Johnes Obungoloch

1.1k total citations
22 papers, 567 citations indexed

About

Johnes Obungoloch is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Johnes Obungoloch has authored 22 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Johnes Obungoloch's work include Advanced MRI Techniques and Applications (9 papers), AI in cancer detection (6 papers) and Atomic and Subatomic Physics Research (5 papers). Johnes Obungoloch is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), AI in cancer detection (6 papers) and Atomic and Subatomic Physics Research (5 papers). Johnes Obungoloch collaborates with scholars based in Uganda, United Kingdom and Netherlands. Johnes Obungoloch's 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 and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Magnetic Resonance in Medicine.

In The Last Decade

Johnes Obungoloch

20 papers receiving 551 citations

Peers

Johnes Obungoloch

RNMI

EPIDE

CVPR

Ganapathy Krishnamurthi India

Stephan Ursprung United Kingdom

Yaniv Bar Israel

Qizhong Xu China

William Wasswa Uganda

Daliang Liu China

Qi Song China

Jaehong Aum South Korea

Ganapathy Krishnamurthi India

Johnes Obungoloch

184 ×0.6

266 ×1.1

RNMI

72 ×0.5

EPIDE

127 ×1.1

CVPR

99 ×1.2

Citations per year, relative to Johnes Obungoloch Johnes Obungoloch (= 1×) peers Ganapathy Krishnamurthi

Countries citing papers authored by Johnes Obungoloch

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Johnes Obungoloch

This figure shows the co-authorship network connecting the top 25 collaborators of Johnes Obungoloch. A scholar is included among the top collaborators of Johnes Obungoloch 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 Johnes Obungoloch. Johnes Obungoloch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rukundo, Godfrey Zari, et al.. (2025). Impact of Transcutaneous Auricular Vagus Nerve Stimulation on Spatial Learning and Memory in Acrolein-Induced Alzheimer’s Disease-Like Hippocampal Neuronal Damage in Wistar Rats. Cureus. 17(1). e78285–e78285.

Awal, M A, et al.. (2025). Fire hawk optimizer adjusted PD-PI cascade controller for automatic generation control of IPS. Electrical Engineering. 107(8). 9949–9970.

Obungoloch, Johnes, et al.. (2025). Fire Hawk Optimizer Adjusted Tri-Stage (1+PI)-PI-TID Cascade Controller for Automatic Generation Control of PSI. IEEE Access. 13. 100934–100956. 1 indexed citations

Jones, Derek K., Daniel C. Alexander, Mara Cercignani, et al.. (2024). Low field, high impact: democratizing MRI for clinical and research innovation. BJR|Open. 7(1). tzaf022–tzaf022. 1 indexed citations

Adeleke, Sola, Sanjana Murali, Johnes Obungoloch, et al.. (2024). Bringing MRI to Low- and Middle- Income Countries: Directions, Challenges and Potential Solutions. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations

Campbell‐Washburn, Adrienne, Kathryn E. Keenan, Peng Hu, et al.. (2023). Low‐field MRI: A report on the 2022 ISMRM workshop. Magnetic Resonance in Medicine. 90(4). 1682–1694. 23 indexed citations

Murali, Sanjana, Johnes Obungoloch, Iris Asllani, et al.. (2023). Bringing MRI to low‐ and middle‐income countries: Directions, challenges and potential solutions. NMR in Biomedicine. 37(7). e4992–e4992. 45 indexed citations

Webb, Andrew & Johnes Obungoloch. (2023). Five steps to make MRI scanners more affordable to the world. Nature. 615(7952). 391–393. 32 indexed citations

Obungoloch, Johnes, et al.. (2023). Design of Fuzzy Logic-Based ARDS Berlin Definition for Ventilator Adjustments to Ensure Lung Protection. International Journal of Fuzzy Systems. 25(5). 1935–1951. 2 indexed citations

10.

Molina, Jorge, et al.. (2022). An Unmatched Radio Frequency Chain for Low-Field Magnetic Resonance Imaging. Frontiers in Physics. 9. 2 indexed citations

11.

Gijzen, Martin B. van, et al.. (2021). A survey on deep learning in medical image reconstruction. SHILAP Revista de lepidopterología. 1(3). 118–127. 79 indexed citations

12.

Murali, Sanjana, Elsa Lee, Derek J. Hausenloy, et al.. (2021). Sustainable low-field cardiovascular magnetic resonance in changing healthcare systems. European Heart Journal - Cardiovascular Imaging. 23(6). e246–e260. 36 indexed citations

13.

Schiff, Steven J., et al.. (2021). Approaches in cooling of resistive coil-based low-field Magnetic Resonance Imaging (MRI) systems for application in low resource settings. SHILAP Revista de lepidopterología. 3(1). 3–3. 6 indexed citations

14.

Gijzen, Martin B. van, et al.. (2020). Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging. BMC Medical Imaging. 20(1). 72–72. 8 indexed citations

15.

Wasswa, William, Andrew Ware, Annabella Habinka Basaza‐Ejiri, & Johnes Obungoloch. (2019). A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images. BioMedical Engineering OnLine. 18(1). 16–16. 76 indexed citations

16.

Wasswa, William, Johnes Obungoloch, Annabella Habinka Basaza‐Ejiri, & Andrew Ware. (2019). Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier. 1–9. 3 indexed citations

17.

Wasswa, William, Andrew Ware, Annabella Habinka Basaza‐Ejiri, & Johnes Obungoloch. (2019). Automated Diagnosis and Classification of Cervical Cancer from pap-smear Images. 1–11. 6 indexed citations

18.

Wasswa, William, Andrew Ware, Annabella Habinka Basaza‐Ejiri, & Johnes Obungoloch. (2019). Cervical cancer classification from Pap-smears using an enhanced fuzzy C-means algorithm. Informatics in Medicine Unlocked. 14. 23–33. 55 indexed citations

19.

Wasswa, William, Andrew Ware, Annabella Habinka Basaza‐Ejiri, & Johnes Obungoloch. (2018). A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images. Computer Methods and Programs in Biomedicine. 164. 15–22. 181 indexed citations

20.

Wasswa, William, Annabella Habinka Basaza‐Ejiri, Johnes Obungoloch, & Andrew Ware. (2018). A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap-smear Images. 5 indexed citations

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.

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