Haytham Al-Feel

14 papers and 303 indexed citations i.

About

Haytham Al-Feel is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Haytham Al-Feel has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Haytham Al-Feel’s work include Semantic Web and Ontologies (4 papers), QoS-Aware Web Services Composition and Semantic Matching (3 papers) and Natural Language Processing Techniques (2 papers). Haytham Al-Feel is often cited by papers focused on Semantic Web and Ontologies (4 papers), QoS-Aware Web Services Composition and Semantic Matching (3 papers) and Natural Language Processing Techniques (2 papers). Haytham Al-Feel collaborates with scholars based in Egypt, Saudi Arabia and United States. Haytham Al-Feel's co-authors include Hassan Fouad, P. Mohamed Shakeel, S. Baskar, Gunasekaran Manogaran, Ahmed M. Soliman and Nashwa El-Bendary and has published in prestigious journals such as IEEE Access, Sustainability and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Haytham Al-Feel i

Fields of papers citing papers by Haytham Al-Feel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haytham Al-Feel. 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 Haytham Al-Feel. The network helps show where Haytham Al-Feel may publish in the future.

Countries citing papers authored by Haytham Al-Feel

Since Specialization
Citations

This map shows the geographic impact of Haytham Al-Feel'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 Haytham Al-Feel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haytham Al-Feel 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025