Essam A. Rashed
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Modeling and Simulation top 1%
- Artificial Intelligence top 10%
- Biophysics top 2%
- Co-authors
- Akimasa HirataSachiko KoderaJosé Gómez-TamesHiroyuki KudoYinliang DiaoTarek GaberOmar H. KaramS.I. Zaki
- Topics
- Medical Imaging Techniques and Applications (19 papers)Advanced X-ray and CT Imaging (15 papers)Advanced MRI Techniques and Applications (14 papers)
In The Last Decade
Essam A. Rashed
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 334
- Biomedical Engineering 313
- Modeling and Simulation 275
- Artificial Intelligence 190
- Biophysics 147
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-authorship network of co-authors of Essam A. Rashed
This figure shows the co-authorship network connecting the top 25 collaborators of Essam A. Rashed. A scholar is included among the top collaborators of Essam A. Rashed 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 Essam A. Rashed. Essam A. Rashed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 108 | |
| 14 | 12 | |
| 15 | CondNet: Deep learning architecture for electrical conductivity estimation of human head models | 1 |
| 16 | 11 | |
| 17 | 33 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | Iterative Region-of-Interest Reconstruction From Truncated CT Projection Data Under Blind Object Support | 1 |
About Essam A. Rashed
Essam A. Rashed is a scholar working on Health Informatics, Modeling and Simulation and Biophysics, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Advanced X-ray and CT Imaging (15 papers) and Advanced MRI Techniques and Applications (14 papers). The work is most often cited by research in Modeling and Simulation (275 citations), Biophysics (147 citations) and Radiology, Nuclear Medicine and Imaging (334 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, S.I. Zaki, Kensuke Sasaki and Daisuke Anzai. Their work appears in journals such as PLoS ONE, NeuroImage and Environment International.
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.