Omran Al-Shamma
Impact in
- Health Informatics top 1%
-
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
-
- Brain Tumor Detection and Classification 5
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- Digital Imaging for Blood Diseases 6
- Advanced Neural Network Applications 4
- Co-authors
- Mohammed A. FadhelLaith AlzubaidiJinglan ZhangYe DuanJosé SantamaríaAmjad J. HumaidiMuthana Al‐AmidieLaith Farhan
- Journals
- Electronics (2 papers)Applied Sciences (2 papers)Multimedia Tools and Applications (2 papers)The Aeronautical Journal (1 paper)Journal of Southwest Jiaotong University (1 paper)
- Partner nations
- IraqAustraliaUnited States
In The Last Decade
Omran Al-Shamma
25 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Health Informatics 114
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.5k
- Radiology, Nuclear Medicine and Imaging 946
- Health Information Management 173
Countries citing papers authored by Omran Al-Shamma
This map shows the geographic impact of Omran Al-Shamma'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 Omran Al-Shamma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omran Al-Shamma more than expected).
Fields of papers citing papers by Omran Al-Shamma
This network shows the impact of papers produced by Omran Al-Shamma. 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 Omran Al-Shamma. The network helps show where Omran Al-Shamma may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Omran Al-Shamma, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 32 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 1 | |
| 9 | Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data Hit paper breakdown → | 2021 | 189 |
| 10 | Review of deep learning: concepts, CNN architectures, challenges, applications, future directions Hit paper breakdown → | 2021 | 4449 |
| 11 | 2021 | 38 | |
| 12 | 2020 | 123 | |
| 13 | 2020 | 104 | |
| 14 | 2020 | 157 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 140 | |
| 17 | 2019 | 17 | |
| 18 | Programmable Aileron Sizing Algorithm for Use in Preliminary Aircraft Design Software | 2018 | 0 |
| 19 | Aircraft weight estimation in interactive design process | 2013 | 0 |
| 20 | Interactive Aircraft Design for Undergraduate Teaching | 2012 | 2 |
About Omran Al-Shamma
Omran Al-Shamma is a scholar working on Neurology, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pharmacy, having authored 28 papers that have together received 5.4k indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Digital Imaging for Blood Diseases (6 papers), Brain Tumor Detection and Classification (5 papers), COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neural Network Applications (4 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Advanced Aircraft Design and Technologies (3 papers). The work is most often cited by research in Health Informatics (114 citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.5k citations), Radiology, Nuclear Medicine and Imaging (946 citations) and Health Information Management (173 citations). Omran Al-Shamma has collaborated with scholars based in Iraq, Australia and United States. Frequent co-authors include Mohammed A. Fadhel, Laith Alzubaidi, Jinglan Zhang, Ye Duan, José Santamaría, Amjad J. Humaidi, Muthana Al‐Amidie, Laith Farhan, Ayad Q. Al-Dujaili and Sameer Razzaq Oleiwi. Their work appears in journals such as Electronics, Applied Sciences, Multimedia Tools and Applications, The Aeronautical Journal and Journal of Southwest Jiaotong University.
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.