M. Zuhair Nashed

4.6k total citations
104 papers, 2.2k citations indexed

About

M. Zuhair Nashed is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, M. Zuhair Nashed has authored 104 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Theory and Mathematics, 45 papers in Applied Mathematics and 42 papers in Mathematical Physics. Recurrent topics in M. Zuhair Nashed's work include Numerical methods in inverse problems (31 papers), Matrix Theory and Algorithms (29 papers) and Mathematical Analysis and Transform Methods (17 papers). M. Zuhair Nashed is often cited by papers focused on Numerical methods in inverse problems (31 papers), Matrix Theory and Algorithms (29 papers) and Mathematical Analysis and Transform Methods (17 papers). M. Zuhair Nashed collaborates with scholars based in United States, Germany and Malaysia. M. Zuhair Nashed's co-authors include Hans Sagan, W. J. Kammerer, Willi Freeden, Xiaojun Chen, Fengshan Liu, Thomas Sonar, Grace Wahba, Qiyu Sun, Gilbert G. Walter and Otmar Scherzer and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

M. Zuhair Nashed

97 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Zuhair Nashed United States 23 813 714 605 452 371 104 2.2k
Allan Pinkus Israel 23 652 0.8× 934 1.3× 334 0.6× 993 2.2× 353 1.0× 95 3.6k
C. W. Groetsch United States 19 570 0.7× 569 0.8× 1.2k 2.1× 285 0.6× 327 0.9× 73 2.6k
H. N. Mhaskar United States 30 350 0.4× 1.1k 1.6× 331 0.5× 611 1.4× 678 1.8× 137 3.4k
Lawrence Evans United States 8 941 1.2× 1.1k 1.5× 788 1.3× 291 0.6× 91 0.2× 9 2.9k
Adhemar Bultheel Belgium 25 869 1.1× 1.4k 1.9× 207 0.3× 581 1.3× 525 1.4× 278 3.0k
J. R. Partington United Kingdom 32 543 0.7× 953 1.3× 764 1.3× 447 1.0× 107 0.3× 245 4.0k
Joel Franklin United States 19 464 0.6× 275 0.4× 278 0.5× 254 0.6× 187 0.5× 70 2.8k
J. D. Ward United States 31 721 0.9× 776 1.1× 564 0.9× 588 1.3× 419 1.1× 112 3.0k
A. H. Zemanian United States 20 415 0.5× 873 1.2× 587 1.0× 188 0.4× 171 0.5× 150 2.3k
Jean‐David Benamou France 22 377 0.5× 850 1.2× 281 0.5× 162 0.4× 178 0.5× 50 2.4k

Countries citing papers authored by M. Zuhair Nashed

Since Specialization
Citations

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

Fields of papers citing papers by M. Zuhair Nashed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Zuhair Nashed

This figure shows the co-authorship network connecting the top 25 collaborators of M. Zuhair Nashed. A scholar is included among the top collaborators of M. Zuhair Nashed 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. Zuhair Nashed. M. Zuhair Nashed 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.
Freeden, Willi & M. Zuhair Nashed. (2023). Recovery Methodologies: Regularization and Sampling. Mathematical surveys and monographs. 1 indexed citations
2.
Han, Weimin & M. Zuhair Nashed. (2023). On variational–hemivariational inequalities in Banach spaces. Communications in Nonlinear Science and Numerical Simulation. 124. 107309–107309. 3 indexed citations
3.
Nashed, M. Zuhair & Qiyu Sun. (2010). Sampling and reconstruction of signals in a reproducing kernel subspace of Lp(Rd). Journal of Functional Analysis. 258(7). 2422–2452. 61 indexed citations
4.
Constanda, Christian, M. Zuhair Nashed, & David Rollins. (2006). Integral Methods in Science and Engineering: Theoretical and Practical Aspects. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
5.
Nashed, M. Zuhair & Otmar Scherzer. (2002). Inverse problems, image analysis, and medical imaging : AMS Special Session on Interaction of Inverse Problems and Image Analysis, January 10-13, 2001, New Orleans, Louisiana. American Mathematical Society eBooks. 2 indexed citations
6.
Nashed, M. Zuhair, et al.. (2000). Numerical conformal mapping via the Bergman kernel using the generalized minimum residual method. Computers & Mathematics with Applications. 40(1). 157–164. 1 indexed citations
7.
Gabardo, Jean‐Pierre & M. Zuhair Nashed. (1998). Nonuniform Multiresolution Analyses and Spectral Pairs. Journal of Functional Analysis. 158(1). 209–241. 42 indexed citations
8.
Nashed, M. Zuhair, et al.. (1997). Numerical conformal mapping via the Bergman kernel. Journal of Computational and Applied Mathematics. 82(1-2). 333–350. 9 indexed citations
9.
Nashed, M. Zuhair, et al.. (1992). Global invertibility of expanding maps. Proceedings of the American Mathematical Society. 116(1). 285–291. 3 indexed citations
10.
Nashed, M. Zuhair, et al.. (1990). Algebraic and topological selections of multi-valued linear relations. French digital mathematics library (Numdam). 17(1). 111–126. 3 indexed citations
11.
Nashed, M. Zuhair, et al.. (1990). Bivariational and Singular Variational Derivatives. Journal of the London Mathematical Society. s2-41(3). 526–546. 4 indexed citations
12.
Nashed, M. Zuhair. (1987). Inner, outer, and generalized inverses in banach and hilbert spaces. Numerical Functional Analysis and Optimization. 9(3-4). 261–325. 84 indexed citations
13.
Nashed, M. Zuhair & Grace Wahba. (1974). Convergence rates of approximate least squares solutions of linear integral and operator equations of the first kind. Mathematics of Computation. 28(125). 69–80. 39 indexed citations
14.
Nashed, M. Zuhair & H. Salehi. (1973). Measurability of Generalized Inverses of Random Linear Operators. SIAM Journal on Applied Mathematics. 25(4). 681–692. 16 indexed citations
15.
Bazaraa, Mokhtar S., Jamie Goode, & M. Zuhair Nashed. (1972). A nonlinear complementarity problem in mathematical programming in Banach space. Proceedings of the American Mathematical Society. 35(1). 165–170. 22 indexed citations
16.
Kammerer, W. J. & M. Zuhair Nashed. (1972). Iterative methods for best approximate solutions of linear integral equations of the first and second kinds. Journal of Mathematical Analysis and Applications. 40(3). 547–573. 47 indexed citations
17.
Nashed, M. Zuhair & Hans Sagan. (1971). Introduction to the Calculus of Variations.. American Mathematical Monthly. 78(2). 207–207. 238 indexed citations
18.
Nashed, M. Zuhair. (1970). Steepest Descent for Singular Linear Operator Equations. SIAM Journal on Numerical Analysis. 7(3). 358–362. 37 indexed citations
19.
Nashed, M. Zuhair. (1966). Some Remarks on Variations and Differentials. American Mathematical Monthly. 73(4P2). 63–76. 13 indexed citations
20.
Nashed, M. Zuhair. (1965). On general iterative methods for the solutions of a class of nonlinear operator equations. Mathematics of Computation. 19(89). 14–24. 6 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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