Mohammed Ammar
Impact in
-
- Artificial Intelligence in Healthcare and Education
-
- Brain Tumor Detection and Classification
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
-
- Cardiac Imaging and Diagnostics 4
- Radiomics and Machine Learning in Medical Imaging 2
-
- Medical Image Segmentation Techniques 3
- Co-authors
- Saïd Mahmoudi (8 shared papers)Mohammed Amine Chikh (3 shared papers)Ghazy M. R. Assassa (1 shared paper)Ashraf Mimi Elsaid (1 shared paper)Mostafa E. Elshobary (1 shared paper)Dennis L. Wright (1 shared paper)Charles Giardina (1 shared paper)Mostafa El Habib Daho (6 shared papers)
In The Last Decade
Mohammed Ammar
19 papers receiving 188 citations
Mohammed Ammar's Hit Papers
Peers
Comparison fields: 5 of 71
- Health Informatics 11
- Neurology 15
- Molecular Medicine 9
- Medical Laboratory Technology 2
- Radiology, Nuclear Medicine and Imaging 30
Countries citing papers authored by Mohammed Ammar
This map shows the geographic impact of Mohammed Ammar'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 Ammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Ammar more than expected).
Fields of papers citing papers by Mohammed Ammar
This network shows the impact of papers produced by Mohammed Ammar. 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 Ammar. The network helps show where Mohammed Ammar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed Ammar, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combating Antibiotic Resistance: Mechanisms, Multidrug-Resistant Pathogens, and Novel Therapeutic Approaches: An Updated Review Hit paper breakdown → | 2025 | 44 |
| 2 | 2013 | 35 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 22 | |
| 5 | 2011 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2010 | 8 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 4 | |
| 10 | 2016 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2020 | 1 |
About Mohammed Ammar
Mohammed Ammar is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 193 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Medical Image Segmentation Techniques (3 papers), Bacteriophages and microbial interactions (2 papers), AI in cancer detection (2 papers), Brain Tumor Detection and Classification (2 papers), Cardiovascular Function and Risk Factors (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (11 citations), Neurology (15 citations), Molecular Medicine (9 citations), Medical Laboratory Technology (2 citations) and Radiology, Nuclear Medicine and Imaging (30 citations). Mohammed Ammar has collaborated with scholars based in Algeria, Egypt and Belgium. Frequent co-authors include Saïd Mahmoudi, Mohammed Amine Chikh, Ghazy M. R. Assassa, Ashraf Mimi Elsaid, Mostafa E. Elshobary, Dennis L. Wright, Charles Giardina, Mostafa El Habib Daho, Khaled Harrar and Cao Li. Their work appears in journals such as Scientific Reports, Molecular Carcinogenesis, Journal of Digital Imaging, Journal of Polymer Research and Journal of Medical Systems.
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.