Mehiddin Al‐Baali

424 total citations
17 papers, 215 citations indexed

About

Mehiddin Al‐Baali is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Mehiddin Al‐Baali has authored 17 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Numerical Analysis, 10 papers in Computational Theory and Mathematics and 6 papers in Computational Mechanics. Recurrent topics in Mehiddin Al‐Baali's work include Advanced Optimization Algorithms Research (14 papers), Iterative Methods for Nonlinear Equations (9 papers) and Matrix Theory and Algorithms (8 papers). Mehiddin Al‐Baali is often cited by papers focused on Advanced Optimization Algorithms Research (14 papers), Iterative Methods for Nonlinear Equations (9 papers) and Matrix Theory and Algorithms (8 papers). Mehiddin Al‐Baali collaborates with scholars based in Oman, Italy and United Arab Emirates. Mehiddin Al‐Baali's co-authors include Yasushi Narushima, Hiroshi Yabe, Emilio Spedicato, Francesca Maggioni, Lucio Grandinetti, Anton Purnama, Ornella Pisacane, Giovanni Fasano, Massimo Roma and Chefi Triki and has published in prestigious journals such as SHILAP Revista de lepidopterología, SIAM Journal on Optimization and Journal of Optimization Theory and Applications.

In The Last Decade

Mehiddin Al‐Baali

16 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mehiddin Al‐Baali Oman	9	127	77	70	24	21	17	215
Zhensheng Yu China	9	231 1.8×	154 2.0×	109 1.6×	25 1.0×	35 1.7×	47	321
Walter F. Mascarenhas Brazil	10	161 1.3×	141 1.8×	64 0.9×	25 1.0×	20 1.0×	20	266
Basim A. Hassan Iraq	10	184 1.4×	92 1.2×	84 1.2×	45 1.9×	11 0.5×	71	265
Max L. N. Gonçalves Brazil	11	214 1.7×	169 2.2×	90 1.3×	30 1.3×	29 1.4×	29	284
Nuttapol Pakkaranang Thailand	10	174 1.4×	166 2.2×	69 1.0×	13 0.5×	15 0.7×	60	280
Hakop Hakopian Armenia	8	50 0.4×	82 1.1×	154 2.2×	14 0.6×	15 0.7×	28	281
Violeta Migallón Spain	11	169 1.3×	226 2.9×	53 0.8×	24 1.0×	9 0.4×	35	328
José Penadés Spain	12	185 1.5×	246 3.2×	58 0.8×	25 1.0×	9 0.4×	36	348
Parin Chaipunya Thailand	10	138 1.1×	136 1.8×	69 1.0×	8 0.3×	12 0.6×	52	334

Countries citing papers authored by Mehiddin Al‐Baali

Since Specialization

Citations

This map shows the geographic impact of Mehiddin 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 Mehiddin 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 Mehiddin Al‐Baali more than expected).

Fields of papers citing papers by Mehiddin Al‐Baali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehiddin Al‐Baali

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

All Works

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17 of 17 papers shown

Al‐Baali, Mehiddin, et al.. (2025). A Modified Conjugate Gradient Method with Taylor Approximation: Applications in Electric Circuits and Image Restoration. European Journal of Pure and Applied Mathematics. 18(1). 5639–5639.

Al‐Baali, Mehiddin, Anton Purnama, & Lucio Grandinetti. (2021). Numerical Analysis and Optimization. Springer proceedings in mathematics & statistics. 4 indexed citations

Al‐Baali, Mehiddin, et al.. (2020). A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization. SIAM Journal on Optimization. 30(3). 1954–1979. 1 indexed citations

Al‐Baali, Mehiddin, Lucio Grandinetti, & Anton Purnama. (2018). Numerical Analysis and Optimization. Springer proceedings in mathematics & statistics. 13 indexed citations

Al‐Baali, Mehiddin, et al.. (2017). Exploiting damped techniques for nonlinear conjugate gradient methods. Mathematical Methods of Operations Research. 86(3). 501–522. 9 indexed citations

Al‐Baali, Mehiddin, et al.. (2016). Applying the Powell's Symmetrical Technique to Conjugate Gradient Methods with the Generalized Conjugacy Condition. Numerical Functional Analysis and Optimization. 37(7). 839–849. 4 indexed citations

Al‐Baali, Mehiddin, Lucio Grandinetti, & Anton Purnama. (2015). Numerical Analysis and Optimization. Springer proceedings in mathematics & statistics. 15 indexed citations

Al‐Baali, Mehiddin & Chefi Triki. (2015). A Note on Using Partitioning Techniques for Solving Unconstrained Optimization Problems on Parallel Systems. SHILAP Revista de lepidopterología. 20(2). 12–12. 1 indexed citations

Al‐Baali, Mehiddin, Yasushi Narushima, & Hiroshi Yabe. (2014). A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization. Computational Optimization and Applications. 60(1). 89–110. 50 indexed citations

10.

Al‐Baali, Mehiddin. (2014). Damped techniques for enforcing convergence of quasi-Newton methods. Optimization methods & software. 29(5). 919–936. 3 indexed citations

11.

Al‐Baali, Mehiddin, Lucio Grandinetti, & Ornella Pisacane. (2013). Damped Techniques for the Limited Memory BFGS Method for Large-Scale Optimization. Journal of Optimization Theory and Applications. 161(2). 688–699. 11 indexed citations

12.

Al‐Baali, Mehiddin, Emilio Spedicato, & Francesca Maggioni. (2013). Broyden's quasi-Newton methods for a nonlinear system of equations and unconstrained optimization: a review and open problems. Optimization methods & software. 29(5). 937–954. 50 indexed citations

13.

Al‐Baali, Mehiddin & Anton Purnama. (2012). Numerical Experience with Damped Quasi-Newton Optimization Methods when the Objective Function is Quadratic. SHILAP Revista de lepidopterología. 16. 1–1. 3 indexed citations

14.

Al‐Baali, Mehiddin, et al.. (2011). A combined class of self-scaling and modified quasi-Newton methods. Computational Optimization and Applications. 52(2). 393–408. 11 indexed citations

15.

Al‐Baali, Mehiddin, et al.. (2005). Wide interval for efficient self-scaling quasi-Newton algorithms. Optimization methods & software. 20(6). 679–691. 8 indexed citations

16.

Al‐Baali, Mehiddin. (1999). Improved Hessian approximations for the limited memory BFGS method. Numerical Algorithms. 22(1). 99–112. 25 indexed citations

17.

Al‐Baali, Mehiddin. (1994). An efficient class of switching type algorithms in the Broyden family. Optimization methods & software. 4(1). 29–46. 7 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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