Sadiq M. Sait

64 total papers · 3.4k total citations
61 papers, 2.9k citations indexed

About

Sadiq M. Sait is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Sadiq M. Sait has authored 61 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Theory and Mathematics, 31 papers in Artificial Intelligence and 24 papers in Mechanical Engineering. Recurrent topics in Sadiq M. Sait's work include Advanced Multi-Objective Optimization Algorithms (44 papers), Metaheuristic Optimization Algorithms Research (31 papers) and Topology Optimization in Engineering (17 papers). Sadiq M. Sait is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (44 papers), Metaheuristic Optimization Algorithms Research (31 papers) and Topology Optimization in Engineering (17 papers). Sadiq M. Sait collaborates with scholars based in Saudi Arabia, Türkiye and Thailand. Sadiq M. Sait's co-authors include Ali Rıza Yıldız, Betül Sultan Yıldız, Sujin Bureerat, Nantiwat Pholdee, Pranav Mehta, Hammoudi Abderazek, Natee Panagant, Sumit Kumar, Dildar Gürses and Seyedali Mirjalili and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Sadiq M. Sait

58 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sadiq M. Sait 1.4k 1.0k 692 547 425 61 2.9k
Betül Sultan Yıldız 1.6k 1.1× 1.2k 1.2× 1.0k 1.5× 807 1.5× 512 1.2× 76 3.6k
Nantiwat Pholdee 1.6k 1.1× 1.6k 1.5× 657 0.9× 953 1.7× 428 1.0× 94 3.5k
Gregorio Toscano‐Pulido 1.8k 1.2× 1.9k 1.9× 514 0.7× 393 0.7× 429 1.0× 45 4.3k
Ardeshir Bahreininejad 1.9k 1.3× 1.3k 1.2× 256 0.4× 685 1.3× 358 0.8× 56 4.2k
Nima Khodadadi 1.4k 1.0× 752 0.7× 188 0.3× 457 0.8× 265 0.6× 107 3.4k
Sumit Kumar 860 0.6× 838 0.8× 307 0.4× 493 0.9× 224 0.5× 52 1.9k
Markus Olhofer 2.2k 1.6× 2.6k 2.5× 473 0.7× 502 0.9× 260 0.6× 89 4.0k
Sujin Bureerat 2.0k 1.4× 2.2k 2.1× 979 1.4× 1.5k 2.8× 554 1.3× 166 4.9k
Ali Sadollah 2.3k 1.6× 1.5k 1.5× 280 0.4× 640 1.2× 755 1.8× 87 5.1k
Mohd Hamdi 1.5k 1.0× 1.0k 1.0× 876 1.3× 277 0.5× 194 0.5× 40 3.4k

Countries citing papers authored by Sadiq M. Sait

Since Specialization
Citations

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

Fields of papers citing papers by Sadiq M. Sait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadiq M. Sait

This figure shows the co-authorship network connecting the top 25 collaborators of Sadiq M. Sait. A scholar is included among the top collaborators of Sadiq M. Sait based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sadiq M. Sait. Sadiq M. Sait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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