Ioannis K. Argyros

6.9k total citations · 1 hit paper
629 papers, 4.2k citations indexed

About

Ioannis K. Argyros is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Ioannis K. Argyros has authored 629 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 591 papers in Numerical Analysis, 328 papers in Computational Theory and Mathematics and 170 papers in Modeling and Simulation. Recurrent topics in Ioannis K. Argyros's work include Iterative Methods for Nonlinear Equations (561 papers), Advanced Optimization Algorithms Research (456 papers) and Matrix Theory and Algorithms (277 papers). Ioannis K. Argyros is often cited by papers focused on Iterative Methods for Nonlinear Equations (561 papers), Advanced Optimization Algorithms Research (456 papers) and Matrix Theory and Algorithms (277 papers). Ioannis K. Argyros collaborates with scholars based in United States, India and Spain. Ioannis K. Argyros's co-authors include Saïd Hilout, Á. Alberto Magreñán, Santhosh George, Hongmin Ren, Dong Chen, Sanjay Kumar Khattri, Janak Raj Sharma, Yeol Je Cho, Sunil Kumar and Ramandeep Behl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematics of Computation and Journal of the Franklin Institute.

In The Last Decade

Ioannis K. Argyros

542 papers receiving 4.0k citations

Hit Papers

Hamacher Aggregation Operators for Pythagorean Fuzzy Set ... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hamacher Aggregation Operators for Pythagorean Fuzzy Set and its Application in Multi-Attribute Decision-Making Problem
    2024 53 citations Umar Ishtiaq, Ioannis K. Argyros et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ioannis K. Argyros United States 27 3.7k 2.0k 1.4k 572 441 629 4.2k
Juan R. Torregrosa Spain 29 3.4k 0.9× 1.8k 0.9× 1.2k 0.8× 200 0.3× 479 1.1× 270 3.9k
Alicia Cordero Spain 29 3.3k 0.9× 1.7k 0.8× 1.2k 0.8× 196 0.3× 458 1.0× 226 3.7k
Changbum Chun South Korea 29 2.2k 0.6× 958 0.5× 941 0.7× 198 0.3× 422 1.0× 101 2.6k
Pratibhamoy Das India 30 1.5k 0.4× 658 0.3× 785 0.6× 135 0.2× 584 1.3× 70 2.3k
Stig Larsson Sweden 29 645 0.2× 798 0.4× 288 0.2× 348 0.6× 802 1.8× 80 2.0k
Asen L. Dontchev United States 30 2.1k 0.6× 2.6k 1.3× 155 0.1× 414 0.7× 625 1.4× 96 3.8k
Shengda Zeng China 31 502 0.1× 2.2k 1.1× 831 0.6× 257 0.4× 76 0.2× 172 3.3k
Xinguang Zhang China 34 1.3k 0.3× 384 0.2× 1.9k 1.3× 235 0.4× 56 0.1× 167 3.3k
R. K. Mohanty India 25 2.1k 0.6× 265 0.1× 640 0.5× 107 0.2× 1.3k 2.9× 200 2.5k
Nan‐jing Huang China 34 1.5k 0.4× 4.2k 2.1× 290 0.2× 131 0.2× 103 0.2× 363 4.9k

Countries citing papers authored by Ioannis K. Argyros

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis K. Argyros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ioannis K. Argyros. 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 Ioannis K. Argyros. The network helps show where Ioannis K. Argyros may publish in the future.

Co-authorship network of co-authors of Ioannis K. Argyros

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis K. Argyros. A scholar is included among the top collaborators of Ioannis K. Argyros 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 Ioannis K. Argyros. Ioannis K. Argyros 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
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Argyros, Ioannis K. & Santhosh George. (2023). On a unified convergence analysis for Newton-type methods solving generalized equations with the Aubin property. Journal of Complexity. 81. 101817–101817. 4 indexed citations
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Argyros, Ioannis K., et al.. (2023). On the Contraharmonic-mean Newton’s method(CHN). Journal of Interdisciplinary Mathematics. 26(2). 231–243.
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George, Santhosh, et al.. (2023). Order of Convergence and Dynamics of Newton–Gauss-Type Methods. Fractal and Fractional. 7(2). 185–185. 3 indexed citations
6.
Argyros, Ioannis K., et al.. (2022). On the semi-local convergence of a sixth order method in Banach space. 51(2). 144–154. 1 indexed citations
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Argyros, Ioannis K., et al.. (2019). Increasing the order of convergence of multistep methods for solving systems of equations under weak conditions. SHILAP Revista de lepidopterología. 57(1). 53–65. 1 indexed citations
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Argyros, Ioannis K., et al.. (2018). Expanding the Applicability of Stirling’s Method under Weaker Conditions and Restricted Convergence Regions. SHILAP Revista de lepidopterología. 56(1). 86–98.
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Argyros, Ioannis K. & Santhosh George. (2018). Weak Semilocal Convergence Conditions for a Two-Step Newton Method in Banach Space. DergiPark (Istanbul University). 1(2). 137–144. 1 indexed citations
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Argyros, Ioannis K., et al.. (2017). On the convergence of Broyden’s method with regularity continuous divided differences and restricted convergence domains. Journal of Nonlinear Functional Analysis. 2017.
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Argyros, Ioannis K. & Santhosh George. (2017). IMPROVED CONVERGENCE ANALYSIS FOR THE KURCHATOV METHOD. Nonlinear functional analysis and applications. 41–58. 1 indexed citations
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Argyros, Ioannis K. & Á. Alberto Magreñán. (2017). Iterative methods and their dynamics with applications: A contemporary study. Re-Unir (International University of La Rioja). 44 indexed citations
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George, Santhosh & Ioannis K. Argyros. (2015). A Unified Local Convergence for Jarratt-type Methods in Banach Space under Weak Conditions. Thai Journal of Mathematics. 13(1). 165–176. 2 indexed citations
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Argyros, Ioannis K. & Saïd Hilout. (2010). On Newton’s Method for Solving Nonlinear Equations and Function Splitting. Numerical Mathematics Theory Methods and Applications. 4(1). 53–67. 2 indexed citations
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Argyros, Ioannis K.. (1997). The Halley method in Banach spaces and the Ptak error estimates. 31–41. 5 indexed citations
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Argyros, Ioannis K., et al.. (1994). On the midpoint iterative method for solving nonlinear operator equations in Banach space and its applications in integral equations. SHILAP Revista de lepidopterología. 6 indexed citations
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Argyros, Ioannis K.. (1993). On the convergence of an Euler-Chebysheff-type method under Newton-Kantorovich hypotheses. Pure mathematics and applications. 4(3). 369–373. 5 indexed citations
20.
Argyros, Ioannis K.. (1991). On an Application of a Modification of the Zincenko Method to the Approximation of Implicit Functions. Zeitschrift für Analysis und ihre Anwendungen. 10(3). 391–396.

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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