OOIR: Observatory of International Research

Papers

(The H4-Index of Lubricants is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)

Article	Citations
Current Trends and Applications of Machine Learning in Tribology—A Review	89
The Use of Artificial Intelligence in Tribology—A Perspective	79
Water-Based Lubricants: Development, Properties, and Performances	56
Tribochemistry: A Review of Reactive Molecular Dynamics Simulations	52
Effective Application of Solid Lubricants in Spacecraft Mechanisms	48
Prediction of Tribological Properties of Alumina-Coated, Silver-Reinforced Copper Nanocomposites Using Long Short-Term Model Combined with Golden Jackal Optimization	45
High-Rate Laser Surface Texturing for Advanced Tribological Functionality	43
High-Temperature Solid Lubricants and Self-Lubricating Composites: A Critical Review	42
Advances in the Application of Vegetable-Oil-Based Cutting Fluids to Sustainable Machining Operations—A Review	35
Investigation of the Effects of Cooling and Lubricating Strategies on Tribological Characteristics in Machining of Hybrid Composites	34
A Study on Bearing Dynamic Features under the Condition of Multiball–Cage Collision	32
Performance of MQL and Nano-MQL Lubrication in Machining ER7 Steel for Train Wheel Applications	32
Tribology of Natural Fibers Composite Materials: An Overview	32
Non-Dimensional Groups, Film Thickness Equations and Correction Factors for Elastohydrodynamic Lubrication: A Review	31
Early Detection and Identification of Fatigue Damage in Thrust Ball Bearings by an Acoustic Emission Technique	29
The Economic and Environmental Significance of Sustainable Lubricants	29
Inhibition of Mild Steel Corrosion by 4-benzyl-1-(4-oxo-4-phenylbutanoyl)thiosemicarbazide: Gravimetrical, Adsorption and Theoretical Studies	29
A Comprehensive Review of Water-Based Nanolubricants	29
Elastohydrodynamic Lubrication	28
Prediction of Surface Roughness Using Machine Learning Approach in MQL Turning of AISI 304 Steel by Varying Nanoparticle Size in the Cutting Fluid	28
Effects of Laser Surface Texturing and Lubrication on the Vibrational and Tribological Performance of Sliding Contact	26
Innovative Meshing Strategies for Bearing Lubrication Simulations	26
High Temperature Microtribological Studies of MoS2 Lubrication for Low Earth Orbit	26
Friction and Wear Monitoring Methods for Journal Bearings of Geared Turbofans Based on Acoustic Emission Signals and Machine Learning	25
In-Situ Epoxidation of Waste Cooking Oil and Its Methyl Esters for Lubricant Applications: Characterization and Rheology	24

The Effect of Addition of Nanoparticles, Especially ZrO2-Based, on Tribological Behavior of Lubricants