Nailah Al–Madi

11 papers and 333 indexed citations i.

About

Nailah Al–Madi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Nailah Al–Madi has authored 11 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Information Systems. Recurrent topics in Nailah Al–Madi’s work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (4 papers) and Neural Networks and Applications (3 papers). Nailah Al–Madi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (4 papers) and Neural Networks and Applications (3 papers). Nailah Al–Madi collaborates with scholars based in Jordan, Australia and Palestine. Nailah Al–Madi's co-authors include Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, Majdi Mafarja, Maria Habib, Mohamed Abd Elaziz, Ali Asghar Heidari, Amjed Al‐Mousa, Ala’ M. Al-Zoubi and Pedro Á. Castillo and has published in prestigious journals such as IEEE Access, Computers & Industrial Engineering and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Nailah Al–Madi i

Fields of papers citing papers by Nailah Al–Madi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nailah Al–Madi. 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 Nailah Al–Madi. The network helps show where Nailah Al–Madi may publish in the future.

Countries citing papers authored by Nailah Al–Madi

Since Specialization
Citations

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