Laith Abualigah

545 papers and 20.9k indexed citations i.

About

Laith Abualigah is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Laith Abualigah has authored 545 papers receiving a total of 20.9k indexed citations (citations by other indexed papers that have themselves been cited), including 320 papers in Artificial Intelligence, 131 papers in Computational Theory and Mathematics and 86 papers in Electrical and Electronic Engineering. Recurrent topics in Laith Abualigah’s work include Metaheuristic Optimization Algorithms Research (227 papers), Advanced Multi-Objective Optimization Algorithms (125 papers) and Evolutionary Algorithms and Applications (87 papers). Laith Abualigah is often cited by papers focused on Metaheuristic Optimization Algorithms Research (227 papers), Advanced Multi-Objective Optimization Algorithms (125 papers) and Evolutionary Algorithms and Applications (87 papers). Laith Abualigah collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Laith Abualigah's co-authors include Mohamed Abd Elaziz, Amir H. Gandomi, Absalom E. Ezugwu, Seyedali Mirjalili, Ahamad Tajudin Khader, Ali Diabat, Essam Said Hanandeh, Jeffrey O. Agushaka, Ahmed A. Ewees and Mohammed A. A. Al‐qaness and has published in prestigious journals such as PLoS ONE, Scientific Reports and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Laith Abualigah i

Fields of papers citing papers by Laith Abualigah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laith Abualigah. 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 Laith Abualigah. The network helps show where Laith Abualigah may publish in the future.

Countries citing papers authored by Laith Abualigah

Since Specialization
Citations

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