Sadiq M. Sait
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Mechanical Engineering top 5%
- Civil and Structural Engineering top 2%
- Industrial and Manufacturing Engineering top 1%
- Co-authors
- Ali Rıza YıldızBetül Sultan YıldızSujin BureeratNantiwat PholdeePranav MehtaHammoudi AbderazekSumit KumarNatee Panagant
- Topics
- Advanced Multi-Objective Optimization Algorithms (43 papers)Metaheuristic Optimization Algorithms Research (31 papers)Topology Optimization in Engineering (16 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- Saudi ArabiaTürkiyeThailand
In The Last Decade
Sadiq M. Sait
57 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 1.4k
- Computational Theory and Mathematics 1.0k
- Mechanical Engineering 665
- Civil and Structural Engineering 540
- Industrial and Manufacturing Engineering 417
Countries citing papers authored by Sadiq M. Sait
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 26 | |
| 7 | 62 | |
| 8 | 27 | |
| 9 | 116 | |
| 10 | 40 | |
| 11 | 45 | |
| 12 | 107 | |
| 13 | 84 | |
| 14 | 91 | |
| 15 | 12 | |
| 16 | 81 | |
| 17 | 19 | |
| 18 | 12 | |
| 19 | 13 | |
| 20 | Simulated Evolution based Hybrids for Genetic Algorithm and Tabu Search. | 1 |
About Sadiq M. Sait
Sadiq M. Sait is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering and Artificial Intelligence, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (43 papers), Metaheuristic Optimization Algorithms Research (31 papers) and Topology Optimization in Engineering (16 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Artificial Intelligence (1.4k citations) and Industrial and Manufacturing Engineering (417 citations). Sadiq M. Sait has collaborated with scholars based in Saudi Arabia, Türkiye and Thailand. Frequent co-authors include Ali Rıza Yıldız, Betül Sultan Yıldız, Sujin Bureerat, Nantiwat Pholdee, Pranav Mehta, Hammoudi Abderazek, Sumit Kumar, Natee Panagant, Dildar Gürses and Seyedali Mirjalili. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.
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.