M. Al-Baali

837 total citations
15 papers, 603 citations indexed

About

M. Al-Baali is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, M. Al-Baali has authored 15 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Numerical Analysis, 11 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in M. Al-Baali's work include Advanced Optimization Algorithms Research (15 papers), Iterative Methods for Nonlinear Equations (9 papers) and Numerical Methods and Algorithms (4 papers). M. Al-Baali is often cited by papers focused on Advanced Optimization Algorithms Research (15 papers), Iterative Methods for Nonlinear Equations (9 papers) and Numerical Methods and Algorithms (4 papers). M. Al-Baali collaborates with scholars based in Oman, Syria and United Kingdom. M. Al-Baali's co-authors include R. Fletcher, Lucio Grandinetti, Roberto Musmanno, Antonio Fuduli and Domenico Conforti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Operational Research Society and SIAM Journal on Scientific Computing.

In The Last Decade

M. Al-Baali

15 papers receiving 533 citations

Peers

M. Al-Baali
Stefania Bellavia Italy
Cui-Xia Li China
Ladislav Lukšan Czechia
Masoud Ahookhosh Austria
Annick Sartenaer Belgium
Francisco J. Aragón Artacho Spain
H. Y. Huang United States
Apostol Vassilev United States
J. Szabados Hungary
Jinchuan Zhou China
Stefania Bellavia Italy
M. Al-Baali
Citations per year, relative to M. Al-Baali M. Al-Baali (= 1×) peers Stefania Bellavia

Countries citing papers authored by M. Al-Baali

Since Specialization
Citations

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

Fields of papers citing papers by M. Al-Baali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Al-Baali. 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 M. Al-Baali. The network helps show where M. Al-Baali may publish in the future.

Co-authorship network of co-authors of M. Al-Baali

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

All Works

15 of 15 papers shown
1.
Al-Baali, M., et al.. (2023). A new hybrid conjugate gradient algorithm for unconstrained optimization. Vestnik Udmurtskogo Universiteta Matematika Mekhanika Komp yuternye Nauki. 33(2). 348–364. 4 indexed citations
2.
Al-Baali, M. & Lucio Grandinetti. (2009). On Practical Modifications of the Quasi-Newton BFGS Method. 12 indexed citations
3.
Al-Baali, M., et al.. (2007). An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization. SHILAP Revista de lepidopterología. 12(2). 199–199. 7 indexed citations
4.
Al-Baali, M., Antonio Fuduli, & Roberto Musmanno. (2004). On the performance of switching BFGS/SR1 algorithms for unconstrained optimization. Optimization methods & software. 19(2). 153–164. 6 indexed citations
5.
Al-Baali, M.. (2002). Extra-Updates Criterion for the Limited Memory BFGS Algorithm for Large Scale Nonlinear Optimizatio. Journal of Complexity. 18(2). 557–572. 3 indexed citations
6.
Al-Baali, M.. (2001). On the behaviour of a combined extra-updating/self-scaling BFGS method. Journal of Computational and Applied Mathematics. 134(1-2). 269–281. 6 indexed citations
7.
Al-Baali, M., Domenico Conforti, & Roberto Musmanno. (2000). Computational experiments with scaled initial hessian approximation for the broyden family methods∗. Optimization. 48(3). 375–389. 1 indexed citations
8.
Al-Baali, M.. (1998). Global and Superlinear Convergence of a Restricted Class of Self-Scaling Methods with Inexact Line Searches, for Convex Functions. Computational Optimization and Applications. 9(2). 191–203. 20 indexed citations
9.
Al-Baali, M.. (1998). Numerical Experience with a Class of Self-Scaling Quasi-Newton Algorithms. Journal of Optimization Theory and Applications. 96(3). 533–553. 31 indexed citations
10.
Al-Baali, M. & R. Fletcher. (1996). On the Order of Convergence of Preconditioned Nonlinear Conjugate Gradient Methods. SIAM Journal on Scientific Computing. 17(3). 658–665. 9 indexed citations
11.
Al-Baali, M.. (1993). Variational quasi-Newton methods for unconstrained optimization. Journal of Optimization Theory and Applications. 77(1). 127–143. 17 indexed citations
12.
Al-Baali, M.. (1992). Highly efficient Broyden methods of minimization with variable parameter∗. Optimization methods & software. 1(4). 301–310. 4 indexed citations
13.
Al-Baali, M. & R. Fletcher. (1986). An efficient line search for nonlinear least squares. Journal of Optimization Theory and Applications. 48(3). 359–377. 36 indexed citations
14.
Al-Baali, M. & R. Fletcher. (1985). Variational Methods for Non-Linear Least-Squares. Journal of the Operational Research Society. 36(5). 405–421. 74 indexed citations
15.
Al-Baali, M.. (1985). Descent Property and Global Convergence of the Fletcher—Reeves Method with Inexact Line Search. IMA Journal of Numerical Analysis. 5(1). 121–124. 373 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stefania Bellavia Breakdown of academic impact, for papers by Cui-Xia Li Breakdown of academic impact, for papers by Ladislav Lukšan Breakdown of academic impact, for papers by Masoud Ahookhosh Breakdown of academic impact, for papers by Annick Sartenaer Breakdown of academic impact, for papers by Francisco J. Aragón Artacho Breakdown of academic impact, for papers by H. Y. Huang Breakdown of academic impact, for papers by Apostol Vassilev Breakdown of academic impact, for papers by J. Szabados Breakdown of academic impact, for papers by Jinchuan Zhou
Rankless by CCL
2026