J.A. Esnaola

817 total citations
30 papers, 644 citations indexed

About

J.A. Esnaola is a scholar working on Mechanical Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, J.A. Esnaola has authored 30 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mechanical Engineering, 10 papers in Mechanics of Materials and 6 papers in Biomedical Engineering. Recurrent topics in J.A. Esnaola's work include Advanced machining processes and optimization (8 papers), Advanced Surface Polishing Techniques (6 papers) and Aluminum Alloys Composites Properties (6 papers). J.A. Esnaola is often cited by papers focused on Advanced machining processes and optimization (8 papers), Advanced Surface Polishing Techniques (6 papers) and Aluminum Alloys Composites Properties (6 papers). J.A. Esnaola collaborates with scholars based in Spain, United Kingdom and United States. J.A. Esnaola's co-authors include Mustafa Tutar, Sol-Carolina Costa, P.J. Arrazola, A. Madariaga, P. Aristimuño, D. Soler, Cristian Cappellini, Durul Ulutan, A. Garay and Tuğrul Özel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nanoscale and Materials Science and Engineering A.

In The Last Decade

J.A. Esnaola

28 papers receiving 628 citations

Peers

J.A. Esnaola

EEE

Kazimierz Zaleski Poland

Olivier Cahuc France

Giancarlo Maccarini Italy

Ahmet Yapıcı Türkiye

Olivier Pantalé France

Jordan Maximov Bulgaria

Haibo Xie Australia

I. Demirci France

Vincent Wagner France

Gourhari Ghosh India

Kazimierz Zaleski Poland

J.A. Esnaola

498 ×0.9

92 ×0.6

151 ×1.2

85 ×0.7

EEE

131 ×1.6

Citations per year, relative to J.A. Esnaola J.A. Esnaola (= 1×) peers Kazimierz Zaleski

Countries citing papers authored by J.A. Esnaola

Since Specialization

Citations

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

Fields of papers citing papers by J.A. Esnaola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Esnaola. 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 J.A. Esnaola. The network helps show where J.A. Esnaola may publish in the future.

Co-authorship network of co-authors of J.A. Esnaola

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Esnaola. A scholar is included among the top collaborators of J.A. Esnaola 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 J.A. Esnaola. J.A. Esnaola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Martinez‐Agirre, Manex, Alaitz Zabala, J.A. Esnaola, et al.. (2024). Benchmarking of spectral methods for fatigue assessment of mooring systems and dynamic cables in offshore renewable energy technologies. Ocean Engineering. 308. 118311–118311. 7 indexed citations

Goñi, A. R., et al.. (2024). Influence of Material Composition and Quenching Severity on Numerical Prediction of Residual Stresses and Hardness in Induction-Hardened Cylinders. Processes. 12(12). 2783–2783.

Martinez‐Agirre, Manex, et al.. (2024). Breakage risk analysis during the glass tempering process based on fluid–structure interaction approach. Glass Structures & Engineering. 9(3-4). 455–469.

Madariaga, A., et al.. (2022). Effect of surface integrity generated by machining on isothermal low cycle fatigue performance of Inconel 718. Engineering Failure Analysis. 137. 106422–106422. 9 indexed citations

Martinez‐Agirre, Manex, et al.. (2022). Numerical methodology based on fluid-structure interaction to predict the residual stress distribution in glass tempering considering non-uniform cooling. Computers & Structures. 264. 106757–106757. 8 indexed citations

Fernández‐Canteli, Alfonso, et al.. (2022). Numerical-probabilistic assessment of tempered glass failure based on the generalised local model characterised by annealed plates. Engineering Fracture Mechanics. 274. 108754–108754. 1 indexed citations

Bano, Fouzia, Dennis H. Bamford, Gustavo A. Schwartz, et al.. (2018). Membrane-containing virus particles exhibit the mechanics of a composite material for genome protection. Nanoscale. 10(16). 7769–7779. 11 indexed citations

Llavori, Iñigo, et al.. (2018). A numerical analysis of multiaxial fatigue in a butt weld specimen considering residual stresses. SHILAP Revista de lepidopterología. 165. 21005–21005. 2 indexed citations

Esnaola, J.A., et al.. (2018). Analysis Of One-Way And Two-Way Fsi Approaches To Characterise The Flow Regime And The Mechanical Behaviour During Closing Manoeuvring Operation Of A Butterfly Valve. eRepository Mondragon University (Mondragon University). 12(4). 313–319. 9 indexed citations

10.

Soler, D., et al.. (2018). Determining tool/chip temperatures from thermography measurements in metal cutting. Applied Thermal Engineering. 145. 305–314. 56 indexed citations

11.

Madariaga, A., et al.. (2017). Effect of Thermal Annealing on Machining-Induced Residual Stresses in Inconel 718. Journal of Materials Engineering and Performance. 26(8). 3728–3738. 10 indexed citations

12.

Ulacia, Ibai, Lander Galdos, J.A. Esnaola, et al.. (2014). Warm Forming of Mg Sheets: From Incremental to Electromagnetic Forming. Metallurgical and Materials Transactions A. 45(8). 3362–3372. 4 indexed citations

13.

Madariaga, A., et al.. (2014). Stability of machining induced residual stresses in Inconel 718 under quasi-static loading at room temperature. Materials Science and Engineering A. 620. 129–139. 16 indexed citations

14.

Costa, Sol-Carolina, et al.. (2014). Experimental and numerical flow investigation of Stirling engine regenerator. Energy. 72. 800–812. 57 indexed citations

15.

Ulacia, Ibai, et al.. (2014). Procedure to predict residual stress pattern in spray transfer multipass welding. The International Journal of Advanced Manufacturing Technology. 76(9-12). 2117–2129. 8 indexed citations

16.

Costa, Sol-Carolina, et al.. (2014). Numerical study of the heat transfer in wound woven wire matrix of a Stirling regenerator. Energy Conversion and Management. 79. 255–264. 48 indexed citations

17.

Madariaga, A., et al.. (2014). Evolution of Residual Stresses Induced by Machining in a Nickel based Alloy Under Static Loading at Room Temperature. Procedia CIRP. 13. 175–180. 13 indexed citations

18.

Arrazola, P.J., A. Madariaga, J.A. Esnaola, et al.. (2013). On the machining induced residual stresses in IN718 nickel-based alloy: Experiments and predictions with finite element simulation. Simulation Modelling Practice and Theory. 41. 87–103. 92 indexed citations

19.

Costa, Sol-Carolina, et al.. (2012). Numerical study of the pressure drop phenomena in wound woven wire matrix of a Stirling regenerator. Energy Conversion and Management. 67. 57–65. 86 indexed citations

20.

Esnaola, J.A., et al.. (2009). Determination of the optimum forming conditions for warm tube hydroforming of ZM21 magnesium alloy. Journal of Achievements of Materials and Manufacturing Engineering. 32. 188–195. 7 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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