Mohammed Alawad
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Topic Modeling 14
- Machine Learning in Healthcare 6
- AI in cancer detection 5
- Adversarial Robustness in Machine Learning 4
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- Retinal Imaging and Analysis 4
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- Biomedical Text Mining and Ontologies 8
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- Advanced Memory and Neural Computing 7
- Low-power high-performance VLSI design 6
- Co-authors
- Mingjie LinGeorgia D. TourassiHong‐Jun YoonShang GaoXiao‐Cheng WuLinda CoyleEric B. DurbinLynne Penberthy
- Journals
- IEEE Transactions on Emerging Topics in Computing (3 papers)ACM Journal on Emerging Technologies in Computing Systems (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesIraqSaudi Arabia
In The Last Decade
Mohammed Alawad
42 papers receiving 546 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 41
- Artificial Intelligence 342
- Health Information Management 32
- Radiology, Nuclear Medicine and Imaging 93
- Signal Processing 34
Countries citing papers authored by Mohammed Alawad
This map shows the geographic impact of Mohammed Alawad'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 Mohammed Alawad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Alawad more than expected).
Fields of papers citing papers by Mohammed Alawad
This network shows the impact of papers produced by Mohammed Alawad. 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 Mohammed Alawad. The network helps show where Mohammed Alawad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammed Alawad, 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 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation – A Review | 2022 | 21 |
| 9 | 2022 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 25 | |
| 13 | 2021 | 104 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 31 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 15 | |
| 19 | 2019 | 40 | |
| 20 | 2015 | 3 |
About Mohammed Alawad
Mohammed Alawad is a scholar working on Artificial Intelligence, Health Informatics and Health Information Management, having authored 49 papers that have together received 564 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (8 papers), Advanced Memory and Neural Computing (7 papers), Machine Learning in Healthcare (6 papers), Low-power high-performance VLSI design (6 papers), AI in cancer detection (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Health Informatics (41 citations), Artificial Intelligence (342 citations) and Health Information Management (32 citations). Mohammed Alawad has collaborated with scholars based in United States, Iraq and Saudi Arabia. Frequent co-authors include Mingjie Lin, Georgia D. Tourassi, Hong‐Jun Yoon, Shang Gao, Xiao‐Cheng Wu, Linda Coyle, Eric B. Durbin, Lynne Penberthy, Jennifer A. Doherty and Antoinette M. Stroup. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computing, ACM Journal on Emerging Technologies in Computing Systems, PLoS ONE, Artificial Intelligence in Medicine and Future Internet.
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.