Mohammed Ammar

597 total citations · 1 hit paper
23 papers, 193 citations indexed

About

Mohammed Ammar is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammed Ammar has authored 23 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammed Ammar's work include Cardiac Imaging and Diagnostics (4 papers), Medical Image Segmentation Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Mohammed Ammar is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), Medical Image Segmentation Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Mohammed Ammar collaborates with scholars based in Algeria, Egypt and Belgium. Mohammed Ammar's co-authors include Saïd Mahmoudi, Mohammed Amine Chikh, Ghazy M. R. Assassa, Ashraf Mimi Elsaid, Mostafa E. Elshobary, Jason D. Gibson, Craig E. Nelson, Khaled Harrar, Cao Li and Mostafa El Habib Daho and has published in prestigious journals such as Scientific Reports, Biomedical Signal Processing and Control and Molecular Carcinogenesis.

In The Last Decade

Mohammed Ammar

19 papers receiving 188 citations

Hit Papers

Combating Antibiotic Resistance: Mechanisms, Multidrug-Re... 2025 2026 2025 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammed Ammar Algeria 7 40 37 30 26 24 23 193
Hongyi Zhang China 9 26 0.7× 21 0.6× 13 0.4× 15 0.6× 22 0.9× 25 252
Mengjia Liu China 10 52 1.3× 65 1.8× 50 1.7× 24 0.9× 8 0.3× 36 270
Amita Giri India 9 30 0.8× 20 0.5× 18 0.6× 24 0.9× 12 0.5× 44 264
Yichuan Ma China 10 107 2.7× 39 1.1× 76 2.5× 16 0.6× 34 1.4× 16 304
Ana Davila Japan 10 66 1.6× 78 2.1× 74 2.5× 8 0.3× 19 0.8× 27 249
Xiangbo Zhang China 9 22 0.6× 37 1.0× 84 2.8× 8 0.3× 51 2.1× 24 284
Sung Min Lee South Korea 8 128 3.2× 23 0.6× 115 3.8× 34 1.3× 33 1.4× 27 334
Agnieszka Wasilewska Poland 7 17 0.4× 40 1.1× 38 1.3× 34 1.3× 5 0.2× 14 285
Asilah Yusof Malaysia 10 37 0.9× 106 2.9× 26 0.9× 7 0.3× 9 0.4× 19 311
Mohammad Asadur Rahman Bangladesh 5 40 1.0× 71 1.9× 147 4.9× 15 0.6× 119 5.0× 11 338

Countries citing papers authored by Mohammed Ammar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mohammed Ammar

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

All Works

20 of 20 papers shown
1.
Ammar, Mohammed, et al.. (2025). High-capacity DWT-SVD watermarking for MRI images embedding MITR medical information. Results in Engineering. 27. 105795–105795. 1 indexed citations
2.
Elshobary, Mostafa E., et al.. (2025). Combating Antibiotic Resistance: Mechanisms, Multidrug-Resistant Pathogens, and Novel Therapeutic Approaches: An Updated Review. Pharmaceuticals. 18(3). 402–402. 44 indexed citations breakdown →
3.
Ammar, Mohammed, Mahmood Alzubaidi, Saïd Mahmoudi, et al.. (2025). Enhancing fetal ultrasound image quality and anatomical plane recognition in low-resource settings using super-resolution models. Scientific Reports. 15(1). 8376–8376. 2 indexed citations
4.
Elfadadny, Ahmed, et al.. (2025). Bacteriophage therapy in clinical practice: case studies of Pseudomonas aeruginosa infections. Journal of Chemotherapy. 1–12.
5.
Ammar, Mohammed, et al.. (2025). Review on smart magnetic polymer scaffolds for bone tissue engineering. Journal of Polymer Research. 32(6).
6.
Elsaid, Ashraf Mimi, et al.. (2023). Performance characteristics of shell and helically coiled tube heat exchanger under different tube cross-sections, inclination angles and nanofluids. Case Studies in Thermal Engineering. 49. 103239–103239. 22 indexed citations
7.
Campello, Víctor M., Jordina Torrents‐Barrena, Mustafa Elattar, et al.. (2023). Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries. Scientific Reports. 13(1). 2728–2728. 27 indexed citations
8.
Ammar, Mohammed, et al.. (2022). Topographic and Morphometric Study on the Kidneys of Balady Rabbit Enhanced by Ultrasonographic, Radiographic and Computed Tomography Scan. International Journal of Veterinary Science. 11(1). 28–36. 1 indexed citations
9.
Ammar, Mohammed, et al.. (2022). Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CTAngiography. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20. e211222212072–e211222212072. 2 indexed citations
10.
Ammar, Mohammed, et al.. (2022). Deep Learning Models for Intracranial Hemorrhage Recognition: A comparative study. Procedia Computer Science. 196. 418–425. 14 indexed citations
11.
Ammar, Mohammed, et al.. (2022). Toward an automatic detection of cardiac structures in short and long axis views. Biomedical Signal Processing and Control. 79. 104187–104187. 3 indexed citations
13.
Ammar, Mohammed, et al.. (2018). Feature Extraction using CNN for Peripheral Blood Cells Recognition. ICST Transactions on Scalable Information Systems. 171548–171548. 6 indexed citations
14.
Harrar, Khaled, et al.. (2018). Combining GLCM with LBP features for knee osteoarthritis prediction: Data from the Osteoarthritis initiative. ICST Transactions on Scalable Information Systems. 171550–171550. 4 indexed citations
15.
Ammar, Mohammed, Saïd Mahmoudi, & Stylianos Drisis. (2016). Breast Cancer Response Prediction in Neoadjuvant Chemotherapy Treatment Based on Texture Analysis. Procedia Computer Science. 100. 812–817. 3 indexed citations
16.
Ammar, Mohammed, et al.. (2015). Early diastolic driving force as a new Doppler index for prediction of left ventricular end diastolic pressure. Journal of Indian College of Cardiology. 6(1). 22–27.
17.
Li, Cao, Wanli Xu, Jason D. Gibson, et al.. (2013). Development of intestinal organoids as tissue surrogates: Cell composition and the Epigenetic control of differentiation. Molecular Carcinogenesis. 54(3). 189–202. 35 indexed citations
18.
Ammar, Mohammed, et al.. (2011). Endocardial Border Detection in Cardiac Magnetic Resonance Images Using Level Set Method. Journal of Digital Imaging. 25(2). 294–306. 16 indexed citations
19.
Ammar, Mohammed, et al.. (2011). AUTOMATIC SEGMENTATION OF CARDIAC MAGNETIC RESONANCE IMAGES USING ACTIVE APPEARANCE MODELS AND HAUSDORFF DISTANCE. Journal of Mechanics in Medicine and Biology. 12(4). 1250059–1250059. 1 indexed citations
20.
Chikh, Mohammed Amine, et al.. (2010). A Neuro-Fuzzy Identification of ECG Beats. Journal of Medical Systems. 36(2). 903–914. 8 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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