Tito Andriollo

464 total citations
33 papers, 331 citations indexed

About

Tito Andriollo is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Tito Andriollo has authored 33 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 21 papers in Materials Chemistry and 14 papers in Mechanics of Materials. Recurrent topics in Tito Andriollo's work include Microstructure and Mechanical Properties of Steels (20 papers), Metal Alloys Wear and Properties (13 papers) and Microstructure and mechanical properties (10 papers). Tito Andriollo is often cited by papers focused on Microstructure and Mechanical Properties of Steels (20 papers), Metal Alloys Wear and Properties (13 papers) and Microstructure and mechanical properties (10 papers). Tito Andriollo collaborates with scholars based in Denmark, United States and Netherlands. Tito Andriollo's co-authors include Jesper Henri Hattel, Jesper Thorborg, Søren Fæster, Yubin Zhang, Niels Skat Tiedje, V.G. Kouznetsova, Rozaliya Barabash, W. Liu, Grethe Winther and Dorte Juul Jensen and has published in prestigious journals such as Acta Materialia, Carbon and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Tito Andriollo

30 papers receiving 323 citations

Peers

Tito Andriollo

Özgür Aslan France

Thomas Linse Germany

Thomas Leitner Austria

Jianwei Liang China

Ilija Mamuzić Croatia

Hellmuth Klingelhöffer Germany

S.R. Chen United States

M. Gaspérini France

N. Pathak Canada

Ch.A.R. Saleh Egypt

Özgür Aslan France

Tito Andriollo

130 ×0.5

226 ×1.1

191 ×1.2

37 ×1.2

21 ×0.8

Citations per year, relative to Tito Andriollo Tito Andriollo (= 1×) peers Özgür Aslan

Countries citing papers authored by Tito Andriollo

Since Specialization

Citations

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

Fields of papers citing papers by Tito Andriollo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tito Andriollo

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

Andriollo, Tito, et al.. (2025). Microstructural effect on fracture evolution in spheroidal graphite iron: Numerical analysis. Engineering Failure Analysis. 174. 109459–109459. 2 indexed citations

Jensen, Henrik Myhre, et al.. (2025). Solving plane crack problems via enriched holomorphic neural networks. Engineering Fracture Mechanics. 322. 111133–111133.

Ghosh, Soumya, et al.. (2024). Sensitivity Study Using Synthetic 3D Image Datasets to Investigate the Effect of Noise Artefacts on Digital Volume Correlation. Experimental Mechanics. 64(5). 595–624. 3 indexed citations

Engsig‐Karup, Allan Peter, et al.. (2024). Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving 2D linear elasticity problems. Computer Methods in Applied Mechanics and Engineering. 432. 117406–117406. 4 indexed citations

Masato, Davide, et al.. (2024). Novel approach for optimizing mechanical and damping performance of MABS composites reinforced with basalt fibers: An experimental study. Composites Science and Technology. 251. 110578–110578. 9 indexed citations

Andriollo, Tito, et al.. (2023). Enhancing vibration damping properties of MABS/VDT blends using SEBS-g-MAH as a compatibilizer. Journal of Polymer Research. 30(12). 1 indexed citations

Andriollo, Tito, V.G. Kouznetsova, & Laura Alessandretti. (2022). Network approach for the analysis of the irreversible deformation of solids with soft heterogeneities. Physical Review Materials. 6(11).

Andriollo, Tito, Samuel J. Clark, Robert Atwood, et al.. (2021). In situ synchrotron investigation of degenerate graphite nodule evolution in ductile cast iron. Acta Materialia. 221. 117367–117367. 10 indexed citations

Azeem, M.A., Tito Andriollo, Søren Fæster, et al.. (2021). Unraveling compacted graphite evolution during solidification of cast iron using in-situ synchrotron X-ray tomography. Carbon. 184. 799–810. 7 indexed citations

10.

Andriollo, Tito, et al.. (2020). Recent trends in X‐ray‐based characterization of nodular cast iron. Material Design & Processing Communications. 3(4). 3 indexed citations

11.

Andriollo, Tito, Niels Skat Tiedje, & Jesper Henri Hattel. (2020). Distance map based micromechanical analysis of the impact of matrix heterogeneities on the yield stress of nodular cast iron. Mechanics of Materials. 148. 103414–103414. 4 indexed citations

12.

Andriollo, Tito, et al.. (2019). Micromechanical impact of solidification regions in ductile iron revealed via a 3D strain partitioning analysis method. Scripta Materialia. 178. 463–467. 9 indexed citations

13.

Zhang, Yubin, Tito Andriollo, Søren Fæster, et al.. (2019). Microstructure and residual elastic strain at graphite nodules in ductile cast iron analyzed by synchrotron X-ray microdiffraction. Acta Materialia. 167. 221–230. 29 indexed citations

14.

Andriollo, Tito, Yubin Zhang, Søren Fæster, & V.G. Kouznetsova. (2019). Analysis of the Correlation between Micro-Mechanical Fields and Fatigue Crack Propagation Path in Nodular Cast Iron. SSRN Electronic Journal. 1 indexed citations

15.

Andriollo, Tito, Søren Fæster, & Grethe Winther. (2018). Probing the structure and mechanical properties of the graphite nodules in ductile cast irons via nano-indentation. Mechanics of Materials. 122. 85–95. 16 indexed citations

16.

Andriollo, Tito, et al.. (2017). Uncovering the local inelastic interactions during manufacture of ductile cast iron: How the substructure of the graphite particles can induce residual stress concentrations in the matrix. Journal of the Mechanics and Physics of Solids. 111. 333–357. 16 indexed citations

17.

Andriollo, Tito, Jesper Thorborg, & Jesper Henri Hattel. (2016). Modeling the elastic behavior of ductile cast iron including anisotropy in the graphite nodules. International Journal of Solids and Structures. 100-101. 523–535. 27 indexed citations

18.

Andriollo, Tito, Jesper Thorborg, & Jesper Henri Hattel. (2016). Analytical solution to the 1D Lemaitre's isotropic damage model and plane stress projected implicit integration procedure. Applied Mathematical Modelling. 40(11-12). 5759–5774. 2 indexed citations

19.

Andriollo, Tito & Jesper Henri Hattel. (2016). On the isotropic elastic constants of graphite nodules in ductile cast iron: Analytical and numerical micromechanical investigations. Mechanics of Materials. 96. 138–150. 27 indexed citations

20.

Andriollo, Tito, Jesper Thorborg, Niels Skat Tiedje, & Jesper Henri Hattel. (2015). Modeling of damage in ductile cast iron - The effect of including plasticity in the graphite nodules. IOP Conference Series Materials Science and Engineering. 84. 12027–12027. 18 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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