M. Jai

546 total citations
25 papers, 420 citations indexed

About

M. Jai is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, M. Jai has authored 25 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 12 papers in Mechanics of Materials and 9 papers in Computational Mechanics. Recurrent topics in M. Jai's work include Tribology and Lubrication Engineering (17 papers), Gear and Bearing Dynamics Analysis (9 papers) and Advanced Mathematical Modeling in Engineering (7 papers). M. Jai is often cited by papers focused on Tribology and Lubrication Engineering (17 papers), Gear and Bearing Dynamics Analysis (9 papers) and Advanced Mathematical Modeling in Engineering (7 papers). M. Jai collaborates with scholars based in France, Argentina and Brazil. M. Jai's co-authors include Gustavo C. Buscaglia, Ionel Sorin Ciuperca, Roberto F. Ausas, Benyebka Bou‐Saïd, Guy Bayada, Ivan Iordanoff, Eduard Feireisl and J. Ignacio Tello and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Tribology International and Journal of Differential Equations.

In The Last Decade

M. Jai

23 papers receiving 385 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. Jai France 11 305 241 131 90 37 25 420
Mohammed Jai France 7 444 1.5× 213 0.9× 76 0.6× 40 0.4× 25 0.7× 13 499
Ilya I. Kudish United States 13 272 0.9× 277 1.1× 12 0.1× 14 0.2× 10 0.3× 60 373
Christiaan Le Roux South Africa 8 45 0.1× 73 0.3× 191 1.5× 134 1.5× 114 3.1× 16 329
Jinguang Yang China 10 191 0.6× 40 0.2× 140 1.1× 9 0.1× 30 0.8× 38 303
Quino Valverde Peru 6 73 0.2× 217 0.9× 205 1.6× 61 0.7× 7 0.2× 10 331
J. R. Wood United States 12 227 0.7× 38 0.2× 364 2.8× 4 0.0× 15 0.4× 33 511
В. А. Кудинов Russia 10 169 0.6× 143 0.6× 43 0.3× 11 0.1× 2 0.1× 57 272
Abderrahim Ouazzi Germany 10 31 0.1× 36 0.1× 262 2.0× 28 0.3× 119 3.2× 33 287
Chung-Hua Wu China 5 136 0.4× 71 0.3× 180 1.4× 8 0.1× 9 0.2× 16 278
Dietrich Eckardt Germany 6 228 0.7× 82 0.3× 138 1.1× 5 0.1× 13 0.4× 15 336

Countries citing papers authored by M. Jai

Since Specialization
Citations

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

Fields of papers citing papers by M. Jai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Jai

This figure shows the co-authorship network connecting the top 25 collaborators of M. Jai. A scholar is included among the top collaborators of M. Jai 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. Jai. M. Jai 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.
Ausas, Roberto F., et al.. (2017). Down to the roughness scale assessment of piston-ring/liner contacts. IOP Conference Series Materials Science and Engineering. 174. 12035–12035. 2 indexed citations
2.
Ciuperca, Ionel Sorin, et al.. (2017). Transition to thermohydrodynamic lubrication problem. Quarterly of Applied Mathematics. 75(3). 391–414. 3 indexed citations
3.
Ciuperca, Ionel Sorin, M. Jai, & J. Ignacio Tello. (2016). Equilibrium analysis for a mass-conserving model in presence of cavitation. Nonlinear Analysis Real World Applications. 35. 250–264. 1 indexed citations
4.
Jai, M., et al.. (2014). Texture-induced cavitation bubbles and friction reduction in the Elrod–Adams model. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 229(4). 478–492. 9 indexed citations
5.
Buscaglia, Gustavo C., et al.. (2014). Mass-conserving cavitation model for dynamical lubrication problems. Part II: Numerical analysis. Mathematics and Computers in Simulation. 118. 146–162. 9 indexed citations
6.
Buscaglia, Gustavo C., et al.. (2014). Mass-conserving cavitation model for dynamical lubrication problems. Part I: Mathematical analysis. Mathematics and Computers in Simulation. 118. 130–145. 13 indexed citations
7.
Jai, M., et al.. (2014). EFFECT OF LINER TEXTURE ON RING/LINER TRIBOLOGICAL PERFORMANCE. ABM Proceedings. 3782–3791. 1 indexed citations
8.
Buscaglia, Gustavo C., et al.. (2007). Existence of equilibria in articulated bearings in presence of cavity. Journal of Mathematical Analysis and Applications. 335(2). 841–859. 4 indexed citations
9.
Buscaglia, Gustavo C., Ionel Sorin Ciuperca, & M. Jai. (2007). On the optimization of surface textures for lubricated contacts. Journal of Mathematical Analysis and Applications. 335(2). 1309–1327. 21 indexed citations
10.
Buscaglia, Gustavo C., et al.. (2006). Existence of equilibria in articulated bearings. Journal of Mathematical Analysis and Applications. 328(1). 24–45. 7 indexed citations
11.
Buscaglia, Gustavo C., Roberto F. Ausas, & M. Jai. (2006). Optimization tools in the analysis of micro-textured lubricated devices. Inverse Problems in Science and Engineering. 14(4). 365–378. 30 indexed citations
12.
Buscaglia, Gustavo C., Ionel Sorin Ciuperca, & M. Jai. (2005). On nano-scale hydrodynamic lubrication models. Comptes Rendus Mécanique. 333(6). 453–458. 3 indexed citations
13.
Buscaglia, Gustavo C., Ionel Sorin Ciuperca, & M. Jai. (2005). Existence and uniqueness for several non-linear elliptic problems arising in lubrication theory. Journal of Differential Equations. 218(1). 187–215. 11 indexed citations
14.
Buscaglia, Gustavo C., Ionel Sorin Ciuperca, & M. Jai. (2005). The Effect of Periodic Textures on the Static Characteristics of Thrust Bearings. Journal of Tribology. 127(4). 899–902. 48 indexed citations
15.
Bayada, Guy, Ionel Sorin Ciuperca, & M. Jai. (2005). Homogenized elliptic equations and variational inequalities with oscillating parameters. Application to the study of thin flow behavior with rough surfaces. Nonlinear Analysis Real World Applications. 7(5). 950–966. 26 indexed citations
16.
Jai, M., Gustavo C. Buscaglia, & Ivan Iordanoff. (2004). Multi-Constrained Optimization of Running Characteristics of Mechanisms Lubricated With Compressible Fluid. Journal of Tribology. 126(1). 132–136. 5 indexed citations
17.
Ciuperca, Ionel Sorin, et al.. (2004). On the optimal control of coefficients in elliptic problems. Application to the optimization of the head slider. ESAIM Control Optimisation and Calculus of Variations. 11(1). 102–121. 10 indexed citations
18.
Buscaglia, Gustavo C. & M. Jai. (2004). Homogenization of the Generalized Reynolds Equation for Ultra-Thin Gas Films and Its Resolution by FEM. Journal of Tribology. 126(3). 547–552. 46 indexed citations
19.
Jai, M. & Benyebka Bou‐Saïd. (2001). A Comparison of Homogenization and Averaging Techniques for the Treatment of Roughness in Slip-Flow-Modified Reynolds Equation. Journal of Tribology. 124(2). 327–335. 30 indexed citations
20.

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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