Nader Kanzi

554 total citations
35 papers, 421 citations indexed

About

Nader Kanzi is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Nader Kanzi has authored 35 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Theory and Mathematics, 31 papers in Numerical Analysis and 13 papers in Control and Systems Engineering. Recurrent topics in Nader Kanzi's work include Optimization and Variational Analysis (34 papers), Advanced Optimization Algorithms Research (31 papers) and Optimization and Mathematical Programming (13 papers). Nader Kanzi is often cited by papers focused on Optimization and Variational Analysis (34 papers), Advanced Optimization Algorithms Research (31 papers) and Optimization and Mathematical Programming (13 papers). Nader Kanzi collaborates with scholars based in Iran, Italy and India. Nader Kanzi's co-authors include S. Nobakhtian, Giuseppe Caristi, Majid Soleimani-damaneh, Miguel Á. Goberna, Ali Ebadian, Balendu Bhooshan Upadhyay and H.M. Soroush and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Mathematical Analysis and Applications.

In The Last Decade

Nader Kanzi

33 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nader Kanzi Iran 12 404 327 173 64 44 35 421
S. Nobakhtian Iran 13 478 1.2× 366 1.1× 228 1.3× 57 0.9× 38 0.9× 51 515
M. J. Cánovas Spain 14 442 1.1× 422 1.3× 180 1.0× 67 1.0× 59 1.3× 57 516
J. Parra Spain 15 520 1.3× 494 1.5× 221 1.3× 81 1.3× 67 1.5× 58 606
Susana Scheimberg Brazil 10 283 0.7× 258 0.8× 66 0.4× 54 0.8× 82 1.9× 21 353
C. Nahak India 12 442 1.1× 287 0.9× 136 0.8× 36 0.6× 94 2.1× 71 481
M. I. Todorov Spain 13 343 0.8× 323 1.0× 114 0.7× 59 0.9× 36 0.8× 44 418
Balendu Bhooshan Upadhyay India 12 296 0.7× 197 0.6× 132 0.8× 16 0.3× 26 0.6× 48 334
Marcin Studniarski Poland 9 297 0.7× 248 0.8× 65 0.4× 24 0.4× 48 1.1× 31 324
H. Bonnel New Caledonia 7 257 0.6× 180 0.6× 74 0.4× 29 0.5× 51 1.2× 9 290
S. K. Suneja India 13 496 1.2× 352 1.1× 284 1.6× 30 0.5× 83 1.9× 41 516

Countries citing papers authored by Nader Kanzi

Since Specialization
Citations

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

Fields of papers citing papers by Nader Kanzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nader Kanzi. 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 Nader Kanzi. The network helps show where Nader Kanzi may publish in the future.

Co-authorship network of co-authors of Nader Kanzi

This figure shows the co-authorship network connecting the top 25 collaborators of Nader Kanzi. A scholar is included among the top collaborators of Nader Kanzi 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 Nader Kanzi. Nader Kanzi 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.
Upadhyay, Balendu Bhooshan, et al.. (2024). Constraint Qualifications for Nonsmooth Multiobjective Programming Problems with Switching Constraints on Hadamard Manifolds. Bulletin of the Malaysian Mathematical Sciences Society. 47(4). 3 indexed citations
2.
Upadhyay, Balendu Bhooshan, et al.. (2024). Constraint qualifications and optimality conditions for nonsmooth multiobjective mathematical programming problems with vanishing constraints on Hadamard manifolds via convexificators. Journal of Mathematical Analysis and Applications. 542(2). 128873–128873. 4 indexed citations
3.
Caristi, Giuseppe, et al.. (2024). On duality for nonsmooth mathematical problems with vanishing constraints. Annals of Operations Research. 356(1). 411–426.
4.
Kanzi, Nader, et al.. (2021). On stationarity for nonsmooth multiobjective problems with vanishing constraints. Journal of Global Optimization. 82(4). 929–949. 13 indexed citations
5.
Kanzi, Nader & Majid Soleimani-damaneh. (2020). Characterization of the weakly efficient solutions in nonsmooth quasiconvex multiobjective optimization. Journal of Global Optimization. 77(3). 627–641. 6 indexed citations
6.
Kanzi, Nader, et al.. (2020). Weak Slater Qualification for Nonconvex Multiobjective Semi-infinite Programming. Iranian Journal of Science and Technology Transactions A Science. 44(2). 417–424. 3 indexed citations
7.
Kanzi, Nader, et al.. (2020). First-Order Optimality Conditions for Lipschitz Optimization Problems with Vanishing Constraints. Iranian Journal of Science and Technology Transactions A Science. 44(6). 1853–1861. 4 indexed citations
8.
Kanzi, Nader, et al.. (2019). Necessary Stationary Conditions for Multiobjective Optimization Problems with Nondifferentiable Convex Vanishing Constraints. Iranian Journal of Science and Technology Transactions A Science. 43(6). 2913–2919. 8 indexed citations
9.
Kanzi, Nader, et al.. (2018). Constraint Qualifications and Stationary Conditions for Mathematical Programming with Non-differentiable Vanishing Constraints. Journal of Optimization Theory and Applications. 179(3). 800–819. 29 indexed citations
10.
Ebadian, Ali, et al.. (2017). $${\varvec{n}}$$ n -Jordan homomorphisms and pseudo $${\varvec{n}}$$ n -Jordan homomorphisms on Banach algebras. Mediterranean Journal of Mathematics. 14(6). 1 indexed citations
11.
Kanzi, Nader, et al.. (2017). Necessary and Sufficient Conditions for Optimality of Nonsmooth Semi-infinite Programming. Iranian Journal of Science and Technology Transactions A Science. 41(4). 923–929. 1 indexed citations
12.
Kanzi, Nader. (2015). Karush-Kuhn-Tucker Types Optimality Conditions For Non-Smooth Semi-Infinite Vector Optimization Problems. 9. 45–56. 3 indexed citations
13.
Kanzi, Nader & Majid Soleimani-damaneh. (2015). Slater CQ, optimality and duality for quasiconvex semi-infinite optimization problems. Journal of Mathematical Analysis and Applications. 434(1). 638–651. 15 indexed citations
14.
15.
Kanzi, Nader. (2014). Two Constraint Qualifications for Non-Differentiable Semi-Infinite Programming Problems Using Fr´echet and Mordukhovich Subdifferentials. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Kanzi, Nader. (2014). Non-Lipschitz Semi-Infinite Optimization Problems Involving Local Cone Approximation. 5(2). 0–0. 1 indexed citations
17.
Kanzi, Nader. (2014). Constraint Qualifications in Semi-Infinite Systems and Their Applications in Nonsmooth Semi-Infinite Problems with Mixed Constraints. SIAM Journal on Optimization. 24(2). 559–572. 30 indexed citations
18.
Kanzi, Nader. (2013). Fritz-John Type Necessary Conditions for Optimality of Convex Generalized Semi-Infinite Optimization Problems. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Kanzi, Nader & S. Nobakhtian. (2013). Optimality conditions for nonsmooth semi-infinite multiobjective programming. Optimization Letters. 8(4). 1517–1528. 63 indexed citations
20.
Kanzi, Nader & S. Nobakhtian. (2008). Nonsmooth semi-infinite programming problems with mixed constraints. Journal of Mathematical Analysis and Applications. 351(1). 170–181. 28 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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2026