Marwa Ismail
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 14
- Retinal Imaging and Analysis 5
- Genetics 13
- Glioma Diagnosis and Treatment 12
- Co-authors
- Ayman S El-Baz (11 shared papers)Pallavi Tiwari (16 shared papers)Anant Madabhushi (10 shared papers)Prateek Prasanna (8 shared papers)Georgy Gimel’farb (5 shared papers)Ahmed M. Shalaby (3 shared papers)Volodymyr Statsevych (9 shared papers)Kaustav Bera (7 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (2 papers)The Lancet Oncology (2 papers)Acta Neurochirurgica (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)American Journal of Neuroradiology (1 paper)
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
Marwa Ismail
44 papers receiving 625 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 326
- Genetics 152
- Health Informatics 16
- Ophthalmology 87
- Hepatology 64
Countries citing papers authored by Marwa Ismail
This map shows the geographic impact of Marwa Ismail'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 Marwa Ismail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marwa Ismail more than expected).
Fields of papers citing papers by Marwa Ismail
This network shows the impact of papers produced by Marwa Ismail. 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 Marwa Ismail. The network helps show where Marwa Ismail may publish in the future.
Co-authors
The 25 scholars most cited alongside Marwa Ismail, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2016 | 102 | |
| 3 | 2018 | 84 | |
| 4 | 2020 | 48 | |
| 5 | 2015 | 36 | |
| 6 | 2017 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2024 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2016 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2024 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2012 | 6 |
About Marwa Ismail
Marwa Ismail is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Computer Vision and Pattern Recognition, Hepatology and Oncology, having authored 49 papers that have together received 639 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (12 papers), Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (5 papers), Colorectal Cancer Screening and Detection (5 papers), Retinal Imaging and Analysis (5 papers), Autism Spectrum Disorder Research (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (326 citations), Genetics (152 citations), Health Informatics (16 citations), Ophthalmology (87 citations) and Hepatology (64 citations). Marwa Ismail has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Ayman S El-Baz, Pallavi Tiwari, Anant Madabhushi, Prateek Prasanna, Georgy Gimel’farb, Ahmed M. Shalaby, Volodymyr Statsevych, Kaustav Bera, Shlomit Schaal and Virginia B. Hill. Their work appears in journals such as Investigative Ophthalmology & Visual Science, The Lancet Oncology, Acta Neurochirurgica, IEEE Journal of Biomedical and Health Informatics and American Journal of Neuroradiology.
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.