Mohammed Jai
Impact in
- Mechanical Engineering top 5%
- Tribology and Lubrication Engineering
- Gear and Bearing Dynamics Analysis
- Lubricants and Their Additives
- Hydraulic and Pneumatic Systems
- Mechanics of Materials top 5%
- Adhesion, Friction, and Surface Interactions
- Composite Material Mechanics
- Cavitation Phenomena in Pumps
Papers in
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- Composite Material Mechanics 3
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- Tribology and Lubrication Engineering 5
- Gear and Bearing Dynamics Analysis 3
- Hydraulic and Pneumatic Systems 2
- Lubricants and Their Additives 2
- Co-authors
- Gustavo C. Buscaglia (6 shared papers)Roberto F. Ausas (2 shared papers)Guy Bayada (2 shared papers)Patrick Ragot (1 shared paper)Ionel Sorin Ciuperca (8 shared papers)Clair Poignard (1 shared paper)Imad Hafidi (1 shared paper)J. Ignacio Tello (1 shared paper)
In The Last Decade
Mohammed Jai
13 papers receiving 481 citations
Peers
Comparison fields: 5 of 28
- Mechanical Engineering 450
- Mechanics of Materials 213
- Fluid Flow and Transfer Processes 26
- Computational Mechanics 77
- Computational Theory and Mathematics 40
Countries citing papers authored by Mohammed Jai
This map shows the geographic impact of Mohammed 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 Mohammed Jai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Jai more than expected).
Fields of papers citing papers by Mohammed Jai
This network shows the impact of papers produced by Mohammed 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 Mohammed Jai. The network helps show where Mohammed Jai may publish in the future.
Co-authors
The 9 scholars most cited alongside Mohammed Jai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 229 | |
| 2 | 2009 | 169 | |
| 3 | 2001 | 29 | |
| 4 | 2002 | 28 | |
| 5 | 2009 | 14 | |
| 6 | 2007 | 10 | |
| 7 | 2009 | 7 | |
| 8 | Singular perturbation problem for the incompressible Reynolds equation | 2006 | 5 |
| 9 | 2013 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2012 | 3 | |
| 13 | 2019 | 2 |
About Mohammed Jai
Mohammed Jai is a scholar working on Mechanics of Materials, Mechanical Engineering, Computational Mechanics, Computational Theory and Mathematics and Fluid Flow and Transfer Processes, having authored 13 papers that have together received 508 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Composite Material Mechanics (3 papers), Rheology and Fluid Dynamics Studies (3 papers), Gear and Bearing Dynamics Analysis (3 papers), Hydraulic and Pneumatic Systems (2 papers), Fluid Dynamics and Turbulent Flows (2 papers) and Lubricants and Their Additives (2 papers). The work is most often cited by research in Mechanical Engineering (450 citations), Mechanics of Materials (213 citations), Fluid Flow and Transfer Processes (26 citations), Computational Mechanics (77 citations) and Computational Theory and Mathematics (40 citations). Mohammed Jai has collaborated with scholars based in France, Argentina and Brazil. Frequent co-authors include Gustavo C. Buscaglia, Roberto F. Ausas, Guy Bayada, Patrick Ragot, Ionel Sorin Ciuperca, Clair Poignard, Imad Hafidi, J. Ignacio Tello and Eduard Feireisl. Their work appears in journals such as European Journal of Applied Mathematics, Journal of Tribology, Mathematical Models and Methods in Applied Sciences, Inverse Problems and Journal of Engineering Mathematics.
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.