Alberto Leonardi

763 total citations
34 papers, 628 citations indexed

About

Alberto Leonardi is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Alberto Leonardi has authored 34 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 5 papers in Mechanical Engineering and 4 papers in Mechanics of Materials. Recurrent topics in Alberto Leonardi's work include X-ray Diffraction in Crystallography (14 papers), Microstructure and mechanical properties (13 papers) and Copper-based nanomaterials and applications (4 papers). Alberto Leonardi is often cited by papers focused on X-ray Diffraction in Crystallography (14 papers), Microstructure and mechanical properties (13 papers) and Copper-based nanomaterials and applications (4 papers). Alberto Leonardi collaborates with scholars based in Italy, United States and United Kingdom. Alberto Leonardi's co-authors include Paolo Scardi, Matteo Leoni, Michael Engel, Sara E. Skrabalak, D. L. Bish, Jocelyn T. L. Gamler, Raymond R. Unocic, G. Carini, A. Fontana and Giovanna D’Angelo and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Physical review. B, Condensed matter.

In The Last Decade

Alberto Leonardi

33 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Leonardi Italy 15 412 156 119 105 93 34 628
Sanchita Dey United States 13 599 1.5× 87 0.6× 143 1.2× 198 1.9× 172 1.8× 17 730
D. Gozzi Italy 16 423 1.0× 150 1.0× 261 2.2× 183 1.7× 100 1.1× 82 866
Sarvjit Shastri United States 15 628 1.5× 332 2.1× 159 1.3× 293 2.8× 28 0.3× 38 975
B. Kusz Poland 17 813 2.0× 69 0.4× 77 0.6× 297 2.8× 116 1.2× 92 1.0k
R. Venkatesh India 13 438 1.1× 87 0.6× 142 1.2× 154 1.5× 41 0.4× 76 1.0k
C.C. Appel Denmark 16 626 1.5× 72 0.5× 76 0.6× 212 2.0× 25 0.3× 19 787
V. Contini Italy 16 289 0.7× 74 0.5× 183 1.5× 163 1.6× 36 0.4× 36 524
Dillan J. Chang United States 4 225 0.5× 66 0.4× 129 1.1× 43 0.4× 63 0.7× 5 415
J. M. Holender United Kingdom 15 611 1.5× 105 0.7× 149 1.3× 229 2.2× 80 0.9× 35 859
М. Р. Шарафутдинов Russia 14 441 1.1× 28 0.2× 248 2.1× 106 1.0× 57 0.6× 77 701

Countries citing papers authored by Alberto Leonardi

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Leonardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Leonardi

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

All Works

20 of 20 papers shown
1.
Green, C. S., et al.. (2025). Three-dimensional, multimodal synchrotron data for machine learning applications. Scientific Data. 12(1). 329–329. 1 indexed citations
2.
Fletcher, Daniel McKay, Alberto Leonardi, Katherine Williams, et al.. (2025). Coupled X-ray imaging/diffraction reveals soil mechanics during analogous root growth. PubMed. 2(1). 17–17.
3.
Leonardi, Alberto, et al.. (2025). A Programmable Nanoparticle Conversion Pathway to Monodisperse Polyelemental High Entropy Alloy, Intermetallic, and Multiphase Nanoparticles. Angewandte Chemie International Edition. 64(26). e202505523–e202505523. 3 indexed citations
4.
Shi, Chuqiao, Zhihua Cheng, Alberto Leonardi, et al.. (2024). Preserving surface strain in nanocatalysts via morphology control. Science Advances. 10(39). eadp3788–eadp3788. 5 indexed citations
5.
Leonardi, Alberto & Matteo Leoni. (2022). Dynamic lattice distortion in metallic nanocrystals. Acta Materialia. 243. 118491–118491. 2 indexed citations
6.
Bueno, Sandra L. A., Alberto Leonardi, Kaustav Chatterjee, et al.. (2022). Quinary, Senary, and Septenary High Entropy Alloy Nanoparticle Catalysts from Core@Shell Nanoparticles and the Significance of Intraparticle Heterogeneity. ACS Nano. 16(11). 18873–18885. 75 indexed citations
7.
8.
Leonardi, Alberto. (2021). Whole pair distribution function modeling: the bridging of Bragg and Debye scattering theories. IUCrJ. 8(2). 257–269. 5 indexed citations
9.
Leonardi, Alberto & D. L. Bish. (2020). Understanding Powder X-ray Diffraction Profiles from Layered Minerals: The Case of Kaolinite Nanocrystals. Inorganic Chemistry. 59(8). 5357–5367. 9 indexed citations
10.
Gamler, Jocelyn T. L., Alberto Leonardi, Xiahan Sang, et al.. (2020). Effect of lattice mismatch and shell thickness on strain in core@shell nanocrystals. Nanoscale Advances. 2(3). 1105–1114. 63 indexed citations
11.
Chen, Lei, Alberto Leonardi, Jun Chen, et al.. (2020). Imaging the kinetics of anisotropic dissolution of bimetallic core–shell nanocubes using graphene liquid cells. Nature Communications. 11(1). 3041–3041. 50 indexed citations
12.
Gamler, Jocelyn T. L., Alberto Leonardi, Hannah M. Ashberry, et al.. (2019). Achieving Highly Durable Random Alloy Nanocatalysts through Intermetallic Cores. ACS Nano. 13(4). 4008–4017. 39 indexed citations
13.
Scardi, Paolo, et al.. (2017). Debye–Waller coefficient of heavily deformed nanocrystalline iron. Journal of Applied Crystallography. 50(2). 508–518. 24 indexed citations
14.
Leonardi, Alberto & D. L. Bish. (2016). High-performance powder diffraction pattern simulation for large-scale atomistic modelsviafull-precision pair distribution function computation. Journal of Applied Crystallography. 49(5). 1593–1608. 11 indexed citations
15.
Rebuffi, Luca, et al.. (2016). On the reliability of powder diffraction Line Profile Analysis of plastically deformed nanocrystalline systems. Scientific Reports. 6(1). 20712–20712. 27 indexed citations
16.
Leonardi, Alberto, Seunghwa Ryu, Nicola M. Pugno, & Paolo Scardi. (2015). Eshelby twist and correlation effects in diffraction from nanocrystals. Journal of Applied Physics. 117(16). 164304–164304. 7 indexed citations
17.
Leonardi, Alberto, Matteo Leoni, & Paolo Scardi. (2013). Directional pair distribution function for diffraction line profile analysis of atomistic models. Journal of Applied Crystallography. 46(1). 63–75. 14 indexed citations
18.
Leonardi, Alberto, Matteo Leoni, Mo Li, & Paolo Scardi. (2012). Strain in Atomistic Models of Nanocrystalline Clusters. Journal of Nanoscience and Nanotechnology. 12(11). 8546–8553. 14 indexed citations
19.
Leonardi, Alberto, Matteo Leoni, & Paolo Scardi. (2012). Atomistic interpretation of microstrain in diffraction line profile analysis. Thin Solid Films. 530. 40–43. 10 indexed citations
20.
Leonardi, Alberto, Renzo Cappelletti, D Nardi, & Federico Giordano. (1993). Structural characterization of terflavoxate.. PubMed. 43(3). 356–62. 1 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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