Ahmed W. Moawad

633 total citations
24 papers, 299 citations indexed

About

Ahmed W. Moawad is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Ahmed W. Moawad has authored 24 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Hepatology. Recurrent topics in Ahmed W. Moawad's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Soft tissue tumor case studies (3 papers). Ahmed W. Moawad is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Soft tissue tumor case studies (3 papers). Ahmed W. Moawad collaborates with scholars based in United States, Egypt and Canada. Ahmed W. Moawad's co-authors include Khaled M. Elsayes, Nancy Alshaer, Tawfik Ismail, Janio Szklaruk, Ahmed O. Kaseb, Katherine J. Blair, Amita Kamath, Chandana Lall, David Fuentes and John D. Hazle and has published in prestigious journals such as IEEE Access, American Journal of Roentgenology and Cancers.

In The Last Decade

Ahmed W. Moawad

18 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed W. Moawad United States 11 95 67 63 55 46 24 299
Kyung Hoon Hwang South Korea 11 165 1.7× 74 1.1× 30 0.5× 54 1.0× 107 2.3× 28 403
Ling Huo China 8 77 0.8× 57 0.9× 154 2.4× 20 0.4× 41 0.9× 19 335
Gehad A. Saleh Egypt 11 160 1.7× 46 0.7× 73 1.2× 21 0.4× 18 0.4× 41 337
Jingxing Zhou China 10 129 1.4× 47 0.7× 100 1.6× 39 0.7× 14 0.3× 26 381
Chih‐Horng Wu Taiwan 11 137 1.4× 45 0.7× 138 2.2× 20 0.4× 28 0.6× 33 376
Chuan Peng China 15 170 1.8× 101 1.5× 99 1.6× 54 1.0× 21 0.5× 30 494
Hongtao Zhang China 12 207 2.2× 67 1.0× 69 1.1× 73 1.3× 20 0.4× 54 517
Bingjie Zheng China 10 128 1.3× 108 1.6× 23 0.4× 43 0.8× 16 0.3× 34 364
Hai-Yun Yang China 10 188 2.0× 36 0.5× 29 0.5× 32 0.6× 75 1.6× 13 345
Huafeng Wang China 9 66 0.7× 57 0.9× 39 0.6× 80 1.5× 14 0.3× 25 311

Countries citing papers authored by Ahmed W. Moawad

Since Specialization
Citations

This map shows the geographic impact of Ahmed W. Moawad'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 Ahmed W. Moawad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed W. Moawad more than expected).

Fields of papers citing papers by Ahmed W. Moawad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed W. Moawad. 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 Ahmed W. Moawad. The network helps show where Ahmed W. Moawad may publish in the future.

Co-authorship network of co-authors of Ahmed W. Moawad

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed W. Moawad. A scholar is included among the top collaborators of Ahmed W. Moawad 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 Ahmed W. Moawad. Ahmed W. Moawad 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.
Barat, Maxime, Ahmed W. Moawad, Philippe Soyer, et al.. (2025). A Computed Tomography-Based Score to Predict Survival in Patients With Adrenocortical Carcinoma: A Proof-of-Concept Study. Canadian Association of Radiologists Journal. 76(4). 683–691.
2.
Abdelhafez, Yasser G., Cyrus Bateni, Sonia Lee, et al.. (2025). MRI of atypical lipomatous tumor: does contrast help? A multicenter study. Skeletal Radiology. 54(12). 2681–2693.
3.
Roy, Shambo Guha, et al.. (2024). Transcending Language Barriers: Can ChatGPT Be the Key to Enhancing Multilingual Accessibility in Health Care?. Journal of the American College of Radiology. 21(12). 1888–1895. 13 indexed citations
4.
Moawad, Ahmed W., Ali Morshid, Ahmed Khalaf, et al.. (2023). Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation. Scientific Data. 10(1). 33–33. 23 indexed citations
5.
Liu, Chih‐Chieh, Yasser G. Abdelhafez, Andrew L. Wong, et al.. (2023). AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data. Journal of Digital Imaging. 36(3). 1049–1059. 1 indexed citations
6.
7.
Liu, Xiaoyang, Mohamed Elbanan, Antonio Luna, et al.. (2022). Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status. American Journal of Roentgenology. 219(6). 985–995. 15 indexed citations
8.
Moawad, Ahmed W., et al.. (2021). Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans. Abdominal Radiology. 46(10). 4853–4863. 20 indexed citations
9.
Sabottke, Carl, Bradley Spieler, Ahmed W. Moawad, & Khaled M. Elsayes. (2021). Artificial Intelligence in Imaging of Chronic Liver Diseases. Magnetic Resonance Imaging Clinics of North America. 29(3). 451–463. 1 indexed citations
10.
Spieler, Bradley, Carl Sabottke, Ahmed W. Moawad, et al.. (2021). Artificial intelligence in assessment of hepatocellular carcinoma treatment response. Abdominal Radiology. 46(8). 3660–3671. 14 indexed citations
11.
Jensen, Corey T., Sanaz Javadi, Priya Bhosale, et al.. (2021). Computed tomography technologist notes in PACS to radiologists: what are they telling us and how does it increase value?. Abdominal Radiology. 46(6). 2913–2919. 3 indexed citations
12.
Moawad, Ahmed W., Usama Salem, Brinda Rao Korivi, et al.. (2021). Oncologic Imaging of the Lymphatic System: Current Perspective with Multi-Modality Imaging and New Horizon. Cancers. 13(18). 4554–4554. 6 indexed citations
13.
Alshaer, Nancy, Ahmed W. Moawad, & Tawfik Ismail. (2021). Reliability and Security Analysis of an Entanglement-Based QKD Protocol in a Dynamic Ground-to-UAV FSO Communications System. IEEE Access. 9. 168052–168067. 31 indexed citations
14.
Moawad, Ahmed W., et al.. (2021). UAV Tracking System Using Integrated Sensor Fusion with RTK-GPS. 352–356. 11 indexed citations
15.
Javadi, Sanaz, et al.. (2021). Peutz–Jeghers Syndrome and the Role of Imaging: Pathophysiology, Diagnosis, and Associated Cancers. Cancers. 13(20). 5121–5121. 27 indexed citations
16.
Moawad, Ahmed W., et al.. (2020). <p>Value of Follow-Up Chest Computed Tomography in the Surveillance of Patients with Hepatocellular Carcinoma</p>. Journal of Hepatocellular Carcinoma. Volume 7. 331–335.
17.
Moawad, Ahmed W., Janio Szklaruk, Chandana Lall, et al.. (2020). <p>Angiogenesis in Hepatocellular Carcinoma; Pathophysiology, Targeted Therapy, and Role of Imaging</p>. Journal of Hepatocellular Carcinoma. Volume 7. 77–89. 64 indexed citations
18.
Moawad, Ahmed W., David Fuentes, Ahmed Khalaf, et al.. (2020). Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Frontiers in Oncology. 10. 572–572. 6 indexed citations
19.
Nardo, Lorenzo, Yasser G. Abdelhafez, Andrew L. Wong, et al.. (2020). Qualitative evaluation of MRI features of lipoma and atypical lipomatous tumor: results from a multicenter study. Skeletal Radiology. 49(6). 1005–1014. 27 indexed citations
20.
Fedier, André, Ahmed W. Moawad, U. Haller, & Daniel Fink. (2003). p53-deficient cells display increased sensitivity to anthracyclines after loss of the catalytic subunit of the DNA-dependent protein kinase. International Journal of Oncology. 23(5). 1431–7. 16 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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