Mariem Gzara

8 papers and 60 indexed citations i.

About

Mariem Gzara is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Signal Processing. According to data from OpenAlex, Mariem Gzara has authored 8 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Signal Processing. Recurrent topics in Mariem Gzara’s work include Scheduling and Optimization Algorithms (3 papers), Advanced Clustering Algorithms Research (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Mariem Gzara is often cited by papers focused on Scheduling and Optimization Algorithms (3 papers), Advanced Clustering Algorithms Research (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Mariem Gzara collaborates with scholars based in Saudi Arabia, Tunisia and United Arab Emirates. Mariem Gzara's co-authors include Samir Elhedhli, Lingzi Li, Joe Naoum‐Sawaya, Hanêne Ben‐Abdallah, Aziz Moukrim, Salma Jamoussi and Taïcir Loukil and has published in prestigious journals such as Pattern Recognition Letters, Applied Intelligence and INFORMS journal on computing.

In The Last Decade

Co-authorship network of co-authors of Mariem Gzara i

Fields of papers citing papers by Mariem Gzara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mariem Gzara

Since Specialization
Citations

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