Mateen M. Rizki

35 papers and 280 indexed citations i.

About

Mateen M. Rizki is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mateen M. Rizki has authored 35 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mateen M. Rizki’s work include Evolutionary Algorithms and Applications (12 papers), Neural Networks and Applications (11 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Mateen M. Rizki is often cited by papers focused on Evolutionary Algorithms and Applications (12 papers), Neural Networks and Applications (11 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Mateen M. Rizki collaborates with scholars based in United States. Mateen M. Rizki's co-authors include Michael Conrad, Louis A. Tamburino, Claude C. Grigsby, George Preti, Jae Kwak, Kunio Yamazaki, Gary K. Beauchamp, M. Koksal, David R. Cool and Rhonda L. Pitsch and has published in prestigious journals such as Analytical Chemistry, Physiology & Behavior and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Co-authorship network of co-authors of Mateen M. Rizki i

Fields of papers citing papers by Mateen M. Rizki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateen M. Rizki. 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 Mateen M. Rizki. The network helps show where Mateen M. Rizki may publish in the future.

Countries citing papers authored by Mateen M. Rizki

Since Specialization
Citations

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