Mustafa Mamat

2.0k total citations
202 papers, 1.4k citations indexed

About

Mustafa Mamat is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Mustafa Mamat has authored 202 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Numerical Analysis, 59 papers in Computational Theory and Mathematics and 48 papers in Computational Mechanics. Recurrent topics in Mustafa Mamat's work include Advanced Optimization Algorithms Research (98 papers), Iterative Methods for Nonlinear Equations (71 papers) and Sparse and Compressive Sensing Techniques (35 papers). Mustafa Mamat is often cited by papers focused on Advanced Optimization Algorithms Research (98 papers), Iterative Methods for Nonlinear Equations (71 papers) and Sparse and Compressive Sensing Techniques (35 papers). Mustafa Mamat collaborates with scholars based in Malaysia, Indonesia and Nigeria. Mustafa Mamat's co-authors include Mohd Rivaie, Ismail Mohd, Ibrahim Mohammed Sulaiman, Wah June Leong, Maulana Malik, Zabidin Salleh, Mohammed Yusuf Waziri, Sukono Sukono, Puspa Liza Ghazali and Mohd Asrul Hery Ibrahim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Mustafa Mamat

180 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mustafa Mamat Malaysia 18 664 387 295 222 190 202 1.4k
Jari Toivanen Finland 22 348 0.5× 375 1.0× 355 1.2× 199 0.9× 78 0.4× 61 1.5k
Qingbiao Wu China 22 983 1.5× 234 0.6× 411 1.4× 96 0.4× 788 4.1× 111 2.0k
Hong Li China 26 1.5k 2.2× 404 1.0× 103 0.3× 88 0.4× 1.5k 7.9× 176 2.5k
Ryan Loxton Australia 30 356 0.5× 185 0.5× 333 1.1× 52 0.2× 92 0.5× 90 2.0k
Mehdi Salimi Germany 18 324 0.5× 176 0.5× 152 0.5× 41 0.2× 382 2.0× 75 1.1k
Marc Quincampoix France 24 254 0.4× 104 0.3× 591 2.0× 239 1.1× 176 0.9× 106 1.8k
Pierre Cardaliaguet France 26 126 0.2× 140 0.4× 549 1.9× 158 0.7× 365 1.9× 104 2.0k
Samsul Ariffin Abdul Karim Malaysia 16 155 0.2× 212 0.5× 47 0.2× 70 0.3× 128 0.7× 139 843
Stephen C. Billups United States 13 438 0.7× 102 0.3× 458 1.6× 62 0.3× 49 0.3× 27 929
Carlos Vázquez Spain 16 174 0.3× 266 0.7× 185 0.6× 30 0.1× 64 0.3× 131 1.2k

Countries citing papers authored by Mustafa Mamat

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Mamat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mustafa Mamat. 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 Mustafa Mamat. The network helps show where Mustafa Mamat may publish in the future.

Co-authorship network of co-authors of Mustafa Mamat

This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Mamat. A scholar is included among the top collaborators of Mustafa Mamat 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 Mustafa Mamat. Mustafa Mamat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sulaiman, Ibrahim Mohammed, et al.. (2024). A descent modification of conjugate gradient method for blurry image reconstruction and unconstrained optimization. AIP conference proceedings. 3158. 40005–40005.
2.
Zamri, Nurnadiah, et al.. (2023). Algorithmic trading system based on technical indicators in artificial intelligence: A review. AIP conference proceedings. 2484. 60003–60003. 1 indexed citations
3.
Mamat, Mustafa, et al.. (2023). Determination of the Amount of Premium and Indemnity in Shallot Farming Insurance. Universal Journal of Agricultural Research. 11(2). 322–335. 2 indexed citations
4.
Mohammad, Hassan, Ibrahim Mohammed Sulaiman, & Mustafa Mamat. (2023). Two diagonal conjugate gradient like methods for unconstrained optimization. Journal of Industrial and Management Optimization. 20(1). 170–187. 4 indexed citations
5.
Sulaiman, Ibrahim Mohammed, et al.. (2023). An Efficient Hybrid Conjugate Gradient Algorithm for Solving Intuitionistic Fuzzy Nonlinear Equations. SHILAP Revista de lepidopterología. 1–6.
6.
Sulaiman, Ibrahim Mohammed, et al.. (2021). The convergence properties of a new hybrid conjugate gradient parameter for unconstrained optimization models. Journal of Physics Conference Series. 1734(1). 12012–12012. 3 indexed citations
7.
Waziri, Mohammed Yusuf, et al.. (2020). An Efficient Hybrid BFGS-CG Search Direction for Solving Unconstrained Optimization Problems. Journal of Advanced Research in Dynamic and Control Systems. 12. 1035–1041. 4 indexed citations
8.
Sulaiman, Ibrahim Mohammed, et al.. (2020). Solutions of classes of differential equations using modified differential transform method. 10(6). 2360–2382. 1 indexed citations
9.
Sathasivam, Saratha, Mustafa Mamat, Mohd Shareduwan Mohd Kasihmuddin, & Mohd. Asyraf Mansor. (2020). Metaheuristics approach for maximum k satisfiability in restricted neural symbolic integration. Pertanika journal of science & technology. 28(2). 12 indexed citations
10.
Mamat, Mustafa, et al.. (2020). Some Three-Term Conjugate Gradient Algorithms with Descent Condition for Unconstrained Optimization Models. Journal of Advanced Research in Dynamic and Control Systems. 12(2). 2494–2501. 5 indexed citations
11.
Mamat, Mustafa, et al.. (2020). An efficient spectral conjugate gradient parameter with descent condition for unconstrained optimization. Journal of Advanced Research in Dynamical and Control Systems. 12(2). 2487–2493. 6 indexed citations
12.
13.
Khan, Muhammad Farooq, Muhammad Farooq Khan, Hussam Alrabaiah, et al.. (2020). A new fractional model for vector-host disease with saturated treatment function via singular and non-singular operators. Alexandria Engineering Journal. 60(1). 629–645. 25 indexed citations
14.
Malik, Maulana, et al.. (2020). Convergence analysis of a new coefficient conjugate gradient method under exact line search. International Journal of Advanced Science and Technology. 29(5). 187–198. 7 indexed citations
15.
Mamat, Mustafa, et al.. (2019). Mathematical Research on Optimization Technique for Diet Planning Problem: Case Research Autism Paralympic Athlete. International Journal of Recent Technology and Engineering (IJRTE). 8(2S3). 387–391. 2 indexed citations
16.
Embong, Rahimah, et al.. (2019). Learning Organizational Model in the 21th Century Classroom at Sultan Mahmud Science Secondary School in Terengganu, Malaysia. International Journal of Academic Research in Progressive Education and Development. 7(4).
17.
Mamat, Mustafa, et al.. (2019). Model of Rice Farm Insurance to Reduce Losses Due to Harvest Failure. International Journal of Recent Technology and Engineering (IJRTE). 8(2S7). 231–236. 3 indexed citations
18.
Mamat, Mustafa, et al.. (2018). The Sufficient Descent Condition of Nonlinear Conjugate Gradient Method. International Journal of Engineering & Technology. 7(4.30). 458–461. 2 indexed citations
19.
Rivaie, Mohd, et al.. (2011). A new family of conjugate gradient methods for unconstrained optimization. 1–4. 3 indexed citations
20.
Ibrahim, Mohd Asrul Hery, et al.. (2010). ALTERNATIVE ALGORITHMS OF BROYDEN FAMILYAMI: FOR UNCONSTRAINED OPTIMIZATION. AIP conference proceedings. 670–680. 4 indexed citations

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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