Essam A. Rashed
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Biophysics top 2%
- Electromagnetic Fields and Biological Effects
Papers in
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- Medical Imaging Techniques and Applications 20
- Advanced MRI Techniques and Applications 14
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- Advanced X-ray and CT Imaging 15
- Wireless Body Area Networks 10
- Co-authors
- Akimasa Hirata (39 shared papers)Sachiko Kodera (18 shared papers)José Gómez-Tames (12 shared papers)Hiroyuki Kudo (18 shared papers)Yinliang Diao (12 shared papers)Tarek Gaber (2 shared papers)Omar H. Karam (2 shared papers)Kensuke Sasaki (2 shared papers)
In The Last Decade
Essam A. Rashed
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Modeling and Simulation 260
- Biophysics 149
- Radiology, Nuclear Medicine and Imaging 319
- Neurology 88
- Health Informatics 13
Countries citing papers authored by Essam A. Rashed
This map shows the geographic impact of Essam A. Rashed'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 Essam A. Rashed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Essam A. Rashed more than expected).
Fields of papers citing papers by Essam A. Rashed
This network shows the impact of papers produced by Essam A. Rashed. 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 Essam A. Rashed. The network helps show where Essam A. Rashed may publish in the future.
Co-authors
The 25 scholars most cited alongside Essam A. Rashed, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 111 | |
| 2 | 2020 | 101 | |
| 3 | 2020 | 90 | |
| 4 | 2020 | 73 | |
| 5 | 2022 | 71 | |
| 6 | 2006 | 61 | |
| 7 | 2022 | 58 | |
| 8 | 2013 | 50 | |
| 9 | 2020 | 35 | |
| 10 | 2019 | 34 | |
| 11 | 2012 | 28 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2019 | 22 | |
| 16 | 2022 | 21 | |
| 17 | 2022 | 21 | |
| 18 | 2022 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2021 | 20 |
About Essam A. Rashed
Essam A. Rashed is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Neurology and Cognitive Neuroscience, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (20 papers), Advanced X-ray and CT Imaging (15 papers), Advanced MRI Techniques and Applications (14 papers), Wireless Body Area Networks (10 papers), COVID-19 epidemiological studies (9 papers), Electromagnetic Fields and Biological Effects (9 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Modeling and Simulation (260 citations), Biophysics (149 citations), Radiology, Nuclear Medicine and Imaging (319 citations), Neurology (88 citations) and Health Informatics (13 citations). Essam A. Rashed has collaborated with scholars based in Japan, Egypt and China. Frequent co-authors include Akimasa Hirata, Sachiko Kodera, José Gómez-Tames, Hiroyuki Kudo, Yinliang Diao, Tarek Gaber, Omar H. Karam, Kensuke Sasaki, Taizo Suzuki and Daisuke Anzai. Their work appears in journals such as IEEE Access, Physics in Medicine and Biology, Computers in Biology and Medicine, PLoS ONE and International Journal of Environmental Research and Public Health.
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.