Enrico Salvati

2.9k total citations · 1 hit paper
97 papers, 2.3k citations indexed

About

Enrico Salvati is a scholar working on Mechanical Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Enrico Salvati has authored 97 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Mechanical Engineering, 33 papers in Mechanics of Materials and 26 papers in Biomedical Engineering. Recurrent topics in Enrico Salvati's work include Welding Techniques and Residual Stresses (23 papers), Advanced Surface Polishing Techniques (17 papers) and Metal and Thin Film Mechanics (15 papers). Enrico Salvati is often cited by papers focused on Welding Techniques and Residual Stresses (23 papers), Advanced Surface Polishing Techniques (17 papers) and Metal and Thin Film Mechanics (15 papers). Enrico Salvati collaborates with scholars based in United Kingdom, Italy and Singapore. Enrico Salvati's co-authors include Alexander M. Korsunsky, Tan Sui, Alexander J.G. Lunt, Hongjia Zhang, León Romano Brandt, Joris Everaerts, Xu Song, Chrysanthi Papadaki, Kai Soon Fong and Luca Laurenti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Acta Materialia.

In The Last Decade

Enrico Salvati

89 papers receiving 2.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing

2022 126 citations Enrico Salvati, Luca Laurenti et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Enrico Salvati United Kingdom	29	1.5k	740	482	449	277	97	2.3k
F. Quintero Spain	30	1.1k 0.8×	394 0.5×	342 0.7×	838 1.9×	315 1.1×	116	2.3k
Silvio Genna Italy	28	1.5k 1.0×	705 1.0×	232 0.5×	460 1.0×	406 1.5×	93	2.2k
Yeau‐Ren Jeng Taiwan	33	2.1k 1.4×	1.6k 2.2×	1.2k 2.5×	788 1.8×	460 1.7×	250	3.8k
P. Lipiński France	22	960 0.6×	689 0.9×	619 1.3×	467 1.0×	108 0.4×	90	1.8k
Jiang Guo China	31	2.3k 1.6×	424 0.6×	781 1.6×	1.7k 3.8×	625 2.3×	121	3.3k
Dietmar Eifler Germany	23	1.4k 1.0×	922 1.2×	750 1.6×	236 0.5×	183 0.7×	104	2.0k
Pranav Shrotriya United States	27	567 0.4×	528 0.7×	768 1.6×	496 1.1×	647 2.3×	143	2.2k
M.A. Hassan Egypt	22	809 0.5×	359 0.5×	336 0.7×	361 0.8×	163 0.6×	67	1.5k
Frank E. Pfefferkorn United States	37	3.2k 2.1×	546 0.7×	608 1.3×	1.1k 2.4×	514 1.9×	143	4.2k
Peng Yao China	30	1.7k 1.1×	384 0.5×	442 0.9×	1.7k 3.8×	616 2.2×	149	2.8k

Countries citing papers authored by Enrico Salvati

Since Specialization

Citations

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

Fields of papers citing papers by Enrico Salvati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Salvati

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Salvati. A scholar is included among the top collaborators of Enrico Salvati 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 Enrico Salvati. Enrico Salvati 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

Wu, Zhengkai, et al.. (2025). An effective approach for identifying fatigue-critical defects from X-ray 3D reconstruction: Example in L-PBF AlSil0Mg alloys. International Journal of Fatigue. 206. 109457–109457.

Bona, Francesco De, et al.. (2025). Defect analysis by computed tomography in metallic materials: Optimisation, uncertainty quantification and classification. Precision Engineering. 97. 235–248.

Luzin, Vladimir, et al.. (2025). Tensile behaviour and residual stress characterisation of bio-inspired laser weld joints. Engineering Fracture Mechanics. 323. 111199–111199.

Meindlhumer, Michael, Markus Alfreider, Anton Hohenwarter, et al.. (2025). Resolving the fundamentals of the J-integral concept by multi-method in situ nanoscale stress-strain mapping. Communications Materials. 6(1). 35–35. 3 indexed citations

Salvati, Enrico, et al.. (2025). B-FADE: Bayesian-fatigue model estimator in Python and its application to the probabilistic estimation of El Haddad curves. Scientific Reports. 15(1). 7106–7106.

Tang, Yuanbo T., Chinnapat Panwisawas, Benjamin M. Jenkins, et al.. (2023). Multi-length-scale study on the heat treatment response to supersaturated nickel-based superalloys: Precipitation reactions and incipient recrystallisation. Additive manufacturing. 62. 103389–103389. 13 indexed citations

Benasciutti, Denis, et al.. (2023). Strain‐controlled fatigue loading of an additively manufactured AISI 316L steel: Cyclic plasticity model and strain–life curve with a comparison to the wrought material. Fatigue & Fracture of Engineering Materials & Structures. 46(6). 2195–2211. 5 indexed citations

Alessi, Rodrigo Stadler, et al.. (2023). GPFniCS: A generalised phase field method to model fracture. SoftwareX. 24. 101594–101594.

Bacchetti, Stefano, et al.. (2023). Experimental and Numerical Investigation of Hot Extruded Inconel 718. Metals. 13(6). 1129–1129. 1 indexed citations

10.

Patanè, Andrea, et al.. (2023). A Bayesian defect-based physics-guided neural network model for probabilistic fatigue endurance limit evaluation. Computer Methods in Applied Mechanics and Engineering. 418. 116521–116521. 25 indexed citations

11.

Scalera, Lorenzo, et al.. (2023). A contact analysis for unconventional mounting processes of angular ball bearings. International Journal of Mechanics and Materials in Design. 20(3). 429–443. 1 indexed citations

12.

Besnard, Cyril, Robert A. Harper, Jonathan James, et al.. (2021). 3D analysis of enamel demineralisation in human dental caries using high-resolution, large field of view synchrotron X-ray micro-computed tomography. Materials Today Communications. 27. 102418–102418. 23 indexed citations

13.

Harper, Robert A., Richard M. Shelton, Jonathan James, et al.. (2020). Acid-induced demineralisation of human enamel as a function of time and pH observed using X-ray and polarised light imaging. Acta Biomaterialia. 120. 240–248. 34 indexed citations

14.

Mizzi, Luke, Enrico Salvati, Andrea Spaggiari, Jin‐Chong Tan, & Alexander M. Korsunsky. (2020). 2D auxetic metamaterials with tuneable micro-/nanoscale apertures. Applied Materials Today. 20. 100780–100780. 27 indexed citations

15.

Everaerts, Joris, et al.. (2019). Mechanical properties of thermally grown submicron oxide layers on a nickel-based superalloy. Corrosion Science. 165. 108388–108388. 7 indexed citations

16.

Zhang, Hongjia, Tan Sui, Alexander J.G. Lunt, et al.. (2017). On the upper and lower bounds of correlation window size in digital image correlation analysis. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 456–459. 2 indexed citations

17.

Salvati, Enrico, et al.. (2016). Effect of Pt deposition on digital image correlation analysis for residual stress measurement using FIB-DIC ringcore method. Pure (University of Bath). 2224. 838–842. 1 indexed citations

18.

Salvati, Enrico, Tan Sui, & Alexander M. Korsunsky. (2016). Uncertainty quantification of residual stress evaluation by the FIB–DIC ring-core method due to elastic anisotropy effects. International Journal of Solids and Structures. 87. 61–69. 47 indexed citations

19.

Carvalho, A.L.M., J.P. Martins, Enrico Salvati, Tan Sui, & Alexander M. Korsunsky. (2016). Crack surface morphology and grain misorientation in fatigued aluminium alloy AA7050 samples after interrupted ageing and retrogression-reageing treatments. Procedia Structural Integrity. 2. 3697–3704. 2 indexed citations

20.

Salvati, Enrico, Alexander J.G. Lunt, Tan Sui, & Alexander M. Korsunsky. (2015). An investigation of residual stress gradient effects in FIB-DIC micro-ring-core analysis. Pure (University of Bath). 771–774. 6 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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