Mohammed El-Abd

50 papers and 687 indexed citations i.

About

Mohammed El-Abd is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammed El-Abd has authored 50 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammed El-Abd’s work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Mohammed El-Abd is often cited by papers focused on Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). Mohammed El-Abd collaborates with scholars based in Kuwait, Canada and Australia. Mohammed El-Abd's co-authors include Mounib Khanafer, Kaizhou Gao, Mohamed S. Kamel, Issam Damaj, Ahmed Shaker, M.I. Elmasry, Hassan Hassan, Mohab Anis, Mehmet Emin Aydın and Iyad Abu Doush and has published in prestigious journals such as Scientific Reports, Energy and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Mohammed El-Abd i

Fields of papers citing papers by Mohammed El-Abd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed El-Abd. 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 Mohammed El-Abd. The network helps show where Mohammed El-Abd may publish in the future.

Countries citing papers authored by Mohammed El-Abd

Since Specialization
Citations

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