Howida A. Shedeed
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Mohamed F. TolbaManal TantawiAbdelrahman ShakerAmr BadrAshraf S. HusseinSalah M. El‐SayedMai S. MabroukHala M. Ebied
- Topics
- EEG and Brain-Computer Interfaces (13 papers)Remote-Sensing Image Classification (7 papers)Neuroscience and Neural Engineering (4 papers)
In The Last Decade
Howida A. Shedeed
45 papers receiving 565 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 314
- Cardiology and Cardiovascular Medicine 167
- Biomedical Engineering 127
- Human-Computer Interaction 114
- Computer Vision and Pattern Recognition 89
Countries citing papers authored by Howida A. Shedeed
This map shows the geographic impact of Howida A. Shedeed'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 Howida A. Shedeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howida A. Shedeed more than expected).
Fields of papers citing papers by Howida A. Shedeed
This network shows the impact of papers produced by Howida A. Shedeed. 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 Howida A. Shedeed. The network helps show where Howida A. Shedeed may publish in the future.
Co-authorship network of co-authors of Howida A. Shedeed
This figure shows the co-authorship network connecting the top 25 collaborators of Howida A. Shedeed. A scholar is included among the top collaborators of Howida A. Shedeed 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 Howida A. Shedeed. Howida A. Shedeed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 29 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | Brain-EEG Signal Classification Based on Data Normalization for Controlling a Robotic Arm | 6 |
| 19 | 10 | |
| 20 | Cloud statistical significance estimation for optimal local alignment of huge DNA sequences | 3 |
About Howida A. Shedeed
Howida A. Shedeed is a scholar working on Human-Computer Interaction, Media Technology and Health Informatics, having authored 50 papers that have together received 591 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Remote-Sensing Image Classification (7 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Human-Computer Interaction (114 citations), Cognitive Neuroscience (314 citations) and Health Informatics (18 citations). Howida A. Shedeed has collaborated with scholars based in Egypt and Slovenia. Frequent co-authors include Mohamed F. Tolba, Manal Tantawi, Abdelrahman Shaker, Amr Badr, Ashraf S. Hussein, Salah M. El‐Sayed, Mai S. Mabrouk, Hala M. Ebied, Safwat Hamad and Safaa Amin. Their work appears in journals such as IEEE Access, Artificial Intelligence Review and Computer Methods in Biomechanics & Biomedical Engineering.
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.