Jonas Koko

758 total citations
52 papers, 534 citations indexed

About

Jonas Koko is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Jonas Koko has authored 52 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 25 papers in Computational Theory and Mathematics and 21 papers in Mechanics of Materials. Recurrent topics in Jonas Koko's work include Advanced Numerical Methods in Computational Mathematics (24 papers), Numerical methods in engineering (19 papers) and Contact Mechanics and Variational Inequalities (11 papers). Jonas Koko is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (24 papers), Numerical methods in engineering (19 papers) and Contact Mechanics and Variational Inequalities (11 papers). Jonas Koko collaborates with scholars based in France, South Africa and Lebanon. Jonas Koko's co-authors include Didier Bresch, J.K. Djoko, M. Silberberg, Romain Lardy, Isabelle Veissier, Marie‐Madeleine Mialon, El Hassan Essoufi, Stéphanie Jehan‐Besson, Francisco Guillén‐González and Olivier Bodart and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Fuzzy Sets and Systems and Computers and Electronics in Agriculture.

In The Last Decade

Jonas Koko

46 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Koko France 13 236 221 167 65 48 52 534
Jian Deng China 16 154 0.7× 49 0.2× 271 1.6× 130 2.0× 26 0.5× 63 784
Paola Gervasio Italy 14 278 1.2× 112 0.5× 118 0.7× 24 0.4× 85 1.8× 52 538
Béchir Mokdad France 3 213 0.9× 105 0.5× 239 1.4× 72 1.1× 48 1.0× 3 640
Chong–Jun Li China 16 164 0.7× 23 0.1× 161 1.0× 58 0.9× 35 0.7× 55 576
Ping Lin China 17 222 0.9× 178 0.8× 141 0.8× 26 0.4× 183 3.8× 67 814
Ching-yu Yang Taiwan 18 224 0.9× 49 0.2× 387 2.3× 63 1.0× 33 0.7× 44 767
Xuefeng Liu China 12 132 0.6× 92 0.4× 71 0.4× 20 0.3× 19 0.4× 53 322
J.M. Sloss United States 16 149 0.6× 175 0.8× 367 2.2× 309 4.8× 64 1.3× 102 879
Li Qin China 14 112 0.5× 59 0.3× 122 0.7× 85 1.3× 25 0.5× 89 632
M.‐D. Roselló Spain 14 209 0.9× 46 0.2× 67 0.4× 42 0.6× 78 1.6× 68 676

Countries citing papers authored by Jonas Koko

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Koko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Koko

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Koko. A scholar is included among the top collaborators of Jonas Koko 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 Jonas Koko. Jonas Koko 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.
Koko, Jonas, et al.. (2024). ECM+: An improved evidential c-means with adaptive distance. Fuzzy Sets and Systems. 498. 109168–109168.
2.
Djoko, J.K., Jonas Koko, & Toni Sayah. (2024). Energy estimate for Oldroyd-B model under Tresca boundary condition: scheme preserving properties. Computational and Applied Mathematics. 43(8). 1 indexed citations
3.
4.
Koko, Jonas, et al.. (2024). A Priori Error Analysis and Finite Element Approximations for a Coupled Model Under Nonlinear Slip Boundary Conditions. Journal of Mathematical Fluid Mechanics. 26(3).
5.
Djoko, J.K., et al.. (2022). Stokes and Navier-Stokes equations under power law slip boundary condition: Numerical analysis. Computers & Mathematics with Applications. 128. 198–213. 4 indexed citations
6.
Djoko, J.K. & Jonas Koko. (2022). GLS methods for Stokes equations under boundary condition of friction type: formulation-analysis-numerical schemes and simulations. SeMA Journal. 80(4). 581–609. 5 indexed citations
7.
Djoko, J.K., et al.. (2022). Stokes equations under Tresca friction boundary condition: a truncated approach. Advances in Computational Mathematics. 48(3). 1 indexed citations
8.
Koko, Jonas, et al.. (2020). A fictitious domain decomposition method for a nonlinear bonded structure. Mathematics and Computers in Simulation. 189. 114–125. 2 indexed citations
9.
Djoko, J.K., Jonas Koko, & Radek Kučera. (2019). Power law Stokes equations with threshold slip boundary conditions: Numerical methods and implementation. Mathematical Methods in the Applied Sciences. 42(5). 1488–1511. 3 indexed citations
10.
Koko, Jonas, et al.. (2019). Alternating direction method of multiplier for the unilateral contact problem with an automatic penalty parameter selection. Applied Mathematical Modelling. 78. 706–723. 2 indexed citations
11.
Essoufi, El Hassan, et al.. (2017). Alternating direction method of multiplier for a unilateral contact problem in electro-elastostatics. Computers & Mathematics with Applications. 73(8). 1789–1802. 6 indexed citations
12.
Bodart, Olivier, et al.. (2016). XFEM-Based Fictitious Domain Method for Linear Elasticity Model with Crack. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
13.
Koko, Jonas, et al.. (2011). Parallel preconditioned conjugate gradient algorithm on GPU. Journal of Computational and Applied Mathematics. 236(15). 3584–3590. 95 indexed citations
14.
Koko, Jonas. (2010). Uzawa block relaxation method for the unilateral contact problem. Journal of Computational and Applied Mathematics. 235(8). 2343–2356. 18 indexed citations
15.
Koko, Jonas. (2009). Uzawa block relaxation domain decomposition method for a two-body frictionless contact problem. Applied Mathematics Letters. 22(10). 1534–1538. 10 indexed citations
16.
Koko, Jonas, et al.. (2009). Optimization of a fertilizer spreading process. Mathematics and Computers in Simulation. 79(10). 3099–3109. 16 indexed citations
17.
Koko, Jonas, et al.. (2008). Optimisation-based approach for a better centrifugal spreading. International Journal of Systems Science. 39(9). 913–924. 2 indexed citations
18.
Bresch, Didier & Jonas Koko. (2006). Operator-splitting and Lagrange multiplier domain decomposition methods for numerical simulation of two coupled Navier-Stokes fluids. International Journal of Applied Mathematics and Computer Science. 16(4). 419–429. 31 indexed citations
19.
Koko, Jonas. (2006). A Lagrange multiplier decomposition method for a nonlinear sedimentary basin problem. Mathematical and Computer Modelling. 45(3-4). 440–448. 4 indexed citations
20.
Koko, Jonas. (2004). NEWTON'S ITERATION WITH A CONJUGATE GRADIENT BASED DECOMPOSITION METHOD FOR AN ELLIPTIC PDE WITH A NONLINEAR BOUNDARY CONDITION. International Journal of Applied Mathematics and Computer Science. 14(1). 13–18. 2 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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