Sherif Barakat
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Information Management top 1%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Mohammed ElmogyReham R. MostafaIbrahim M. El‐HasnonyEman AbdelMaksoudAmira RezkShaker El–SappaghMohamed ElhosenyTamer Abuhmed
- Topics
- Semantic Web and Ontologies (11 papers)Biomedical Text Mining and Ontologies (10 papers)Digital Imaging for Blood Diseases (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- EgyptSpainSouth Korea
In The Last Decade
Sherif Barakat
41 papers receiving 625 citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 225
- Radiology, Nuclear Medicine and Imaging 174
- Health Information Management 128
- Computer Vision and Pattern Recognition 106
- Information Systems 83
Countries citing papers authored by Sherif Barakat
This map shows the geographic impact of Sherif Barakat'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 Sherif Barakat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherif Barakat more than expected).
Fields of papers citing papers by Sherif Barakat
This network shows the impact of papers produced by Sherif Barakat. 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 Sherif Barakat. The network helps show where Sherif Barakat may publish in the future.
Co-authorship network of co-authors of Sherif Barakat
This figure shows the co-authorship network connecting the top 25 collaborators of Sherif Barakat. A scholar is included among the top collaborators of Sherif Barakat 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 Sherif Barakat. Sherif Barakat 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 58 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer | 1 |
| 10 | 69 | |
| 11 | 17 | |
| 12 | 11 | |
| 13 | 39 | |
| 14 | 20 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 66 | |
| 20 | Building Environmental Performance: Facing the Future | 1 |
About Sherif Barakat
Sherif Barakat is a scholar working on Health Information Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 659 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Health Information Management (128 citations), Applied Microbiology and Biotechnology (20 citations) and Ophthalmology (82 citations). Sherif Barakat has collaborated with scholars based in Egypt, Spain and South Korea. Frequent co-authors include Mohammed Elmogy, Reham R. Mostafa, Ibrahim M. El‐Hasnony, Eman AbdelMaksoud, Amira Rezk, Shaker El–Sappagh, Mohamed Elhoseny, Tamer Abuhmed, Cecilia Stålsby Lundborg and Gaetano Marrone. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.