Mena Gaed

28 papers receiving 393 citations

Peers

Mena Gaed
Comparison fields: 5 of 53
  • Health Informatics 12
  • Radiology, Nuclear Medicine and Imaging 144
  • Pulmonary and Respiratory Medicine 156
  • Artificial Intelligence 174
  • Biophysics 24
Replace Simon John Christoph Soerensen with:
Simon John Christoph Soerensen United States
Diksha Sharma United States
Maysam Shahedi United States
Farhad Ghazvinian Zanjani Netherlands
Jonnison Lima Ferreira Brazil
Riqiang Gao United States
Silvia Delsanto Italy
Reza Farjam United States
Fatemeh Zabihollahy Canada
Kaman Chung Netherlands
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Citations per field
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Simon John Christoph Soerensen · 1×
Citations per year

Countries citing papers authored by Mena Gaed

Since Specialization
Citations

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

Fields of papers citing papers by Mena Gaed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mena Gaed. 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 Mena Gaed. The network helps show where Mena Gaed may publish in the future.

Co-authors

The 25 scholars most cited alongside Mena Gaed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mena Gaed Line = papers co-authored together Mena Gaed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201395
2 201256
3 201534
4 202032
5 201632
6 201330
7 201517
8 201316
9 201312
10 201811
11 20209
12 20228
13 20158
14 20216
15 20185
16 20205
17 20134
18 20144
19 20174
20 20164

About Mena Gaed

Mena Gaed is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 31 papers that have together received 403 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (19 papers), AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Prostate Cancer Treatment and Research (4 papers), MRI in cancer diagnosis (4 papers), Medical Imaging and Analysis (3 papers), Advanced Radiotherapy Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Pulmonary and Respiratory Medicine (156 citations), Artificial Intelligence (174 citations) and Biophysics (24 citations). Mena Gaed has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Madeleine Moussa, Aaron D. Ward, José A. Gómez, Glenn Bauman, Joseph L. Chin, Eli Gibson, Aaron Fenster, Stephen E. Pautler, Lena Gorelick and Olga Veksler. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Magnetic Resonance Imaging, IEEE Transactions on Medical Imaging, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

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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