Abdullahi Umar Ibrahim
Impact in
- Health Informatics top 5%
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Advanced biosensing and bioanalysis techniques 8
- CRISPR and Genetic Engineering 7
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- COVID-19 diagnosis using AI 9
- Co-authors
- Mehmet Özsöz (13 shared papers)Fadi Al‐Turjman (10 shared papers)Sertan Serte (4 shared papers)Polycarp Shizawaliyi Yakoi (1 shared paper)Yeni Wahyuni Hartati (13 shared papers)Irkham Irkham (11 shared papers)Fadi Al‐Turjman (4 shared papers)Ari Hardianto (2 shared papers)
In The Last Decade
Abdullahi Umar Ibrahim
31 papers receiving 623 citations
Abdullahi Umar Ibrahim's Hit Papers
Peers
Comparison fields: 5 of 104
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 292
- Business and International Management 16
- Artificial Intelligence 174
- General Dentistry 7
Countries citing papers authored by Abdullahi Umar Ibrahim
This map shows the geographic impact of Abdullahi Umar Ibrahim'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 Abdullahi Umar Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullahi Umar Ibrahim more than expected).
Fields of papers citing papers by Abdullahi Umar Ibrahim
This network shows the impact of papers produced by Abdullahi Umar Ibrahim. 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 Abdullahi Umar Ibrahim. The network helps show where Abdullahi Umar Ibrahim may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdullahi Umar Ibrahim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19 Hit paper breakdown → | 2021 | 266 |
| 2 | 2023 | 61 | |
| 3 | 2020 | 44 | |
| 4 | 2022 | 25 | |
| 5 | 2023 | 24 | |
| 6 | 2024 | 23 | |
| 7 | 2024 | 23 | |
| 8 | 2023 | 22 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2024 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 14 | |
| 14 | 2022 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 5 | |
| 20 | Genome Engineering Using the CRISPR Cas9 System | 2019 | 5 |
About Abdullahi Umar Ibrahim
Abdullahi Umar Ibrahim is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Infectious Diseases and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 652 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), CRISPR and Genetic Engineering (7 papers), Biosensors and Analytical Detection (5 papers), Digital Imaging for Blood Diseases (3 papers), Image Processing Techniques and Applications (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (292 citations), Business and International Management (16 citations), Artificial Intelligence (174 citations) and General Dentistry (7 citations). Abdullahi Umar Ibrahim has collaborated with scholars based in Cyprus, Indonesia and Türkiye. Frequent co-authors include Mehmet Özsöz, Fadi Al‐Turjman, Sertan Serte, Polycarp Shizawaliyi Yakoi, Yeni Wahyuni Hartati, Irkham Irkham, Fadi Al‐Turjman, Ari Hardianto, Dian Ayu Eka Pitaloka and Joy Johnson Agbo. Their work appears in journals such as Sensing and Bio-Sensing Research, Sensors, Clinica Chimica Acta, Data Intelligence and International Journal of Imaging Systems and Technology.
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.