Sherif Barakat

33 papers and 470 indexed citations i.

About

Sherif Barakat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sherif Barakat has authored 33 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Sherif Barakat’s work include Biomedical Text Mining and Ontologies (8 papers), Semantic Web and Ontologies (8 papers) and Data Quality and Management (5 papers). Sherif Barakat is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Semantic Web and Ontologies (8 papers) and Data Quality and Management (5 papers). Sherif Barakat collaborates with scholars based in Egypt, South Korea and Spain. Sherif Barakat's co-authors include Reham R. Mostafa, Ibrahim M. El‐Hasnony, Mohammed Elmogy, Eman AbdelMaksoud, Mohamed Elhoseny, Shaker El–Sappagh, Cecilia Stålsby Lundborg, Gaetano Marrone, Tamer Abuhmed and Kyung Sup Kwak and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Sherif Barakat i

Fields of papers citing papers by Sherif Barakat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sherif Barakat

Since Specialization
Citations

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).

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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2025