Alberto Coda

435 total citations
21 papers, 317 citations indexed

About

Alberto Coda is a scholar working on Materials Chemistry, Mechanical Engineering and Biomaterials. According to data from OpenAlex, Alberto Coda has authored 21 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 7 papers in Mechanical Engineering and 4 papers in Biomaterials. Recurrent topics in Alberto Coda's work include Shape Memory Alloy Transformations (17 papers), Titanium Alloys Microstructure and Properties (5 papers) and Magnesium Alloys: Properties and Applications (3 papers). Alberto Coda is often cited by papers focused on Shape Memory Alloy Transformations (17 papers), Titanium Alloys Microstructure and Properties (5 papers) and Magnesium Alloys: Properties and Applications (3 papers). Alberto Coda collaborates with scholars based in Italy, Germany and United States. Alberto Coda's co-authors include Luca Fumagalli, Jannis Nicolas Lemke, Ferdinando Auricchio, Alessandro Reali, Alfonso Maffezzoli, Federico Gallino, Silvio Pappadà, S. Beretta, James H. Mabe and B.D. Conduit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and Scripta Materialia.

In The Last Decade

Alberto Coda

20 papers receiving 302 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 Coda Italy 10 277 87 46 36 30 21 317
Susanne‐Marie Kirsch Germany 8 231 0.8× 99 1.1× 33 0.7× 41 1.1× 52 1.7× 25 316
Felix Welsch Germany 9 225 0.8× 98 1.1× 33 0.7× 44 1.2× 74 2.5× 27 319
Tarek Hassine Tunisia 12 224 0.8× 187 2.1× 119 2.6× 21 0.6× 28 0.9× 29 387
Daniel Christ Germany 6 300 1.1× 90 1.0× 79 1.7× 38 1.1× 98 3.3× 12 392
Luc Saint-Sulpice France 12 452 1.6× 179 2.1× 108 2.3× 76 2.1× 47 1.6× 27 530
Renbang Lin China 9 121 0.4× 262 3.0× 64 1.4× 57 1.6× 25 0.8× 12 334
Idris Babatunde Akintunde Nigeria 4 101 0.4× 228 2.6× 34 0.7× 20 0.6× 39 1.3× 9 312
Jacob Marx United States 9 106 0.4× 218 2.5× 83 1.8× 65 1.8× 36 1.2× 9 316
Irene Ferretto Switzerland 11 270 1.0× 273 3.1× 16 0.3× 37 1.0× 26 0.9× 18 378
B.U. Odoni Nigeria 9 91 0.3× 185 2.1× 52 1.1× 53 1.5× 14 0.5× 17 307

Countries citing papers authored by Alberto Coda

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Coda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Coda

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Coda. A scholar is included among the top collaborators of Alberto Coda 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 Coda. Alberto Coda 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.
Lemke, Jannis Nicolas, Jacopo Fiocchi, Carlo Alberto Biffi, Alberto Coda, & Ausonio Tuissi. (2025). On the addition of Au and Pt to a Fe-Mn-Si alloy for biodegradable implants. Heliyon. 11(4). e42663–e42663.
2.
Lemke, Jannis Nicolas, Jacopo Fiocchi, Ausonio Tuissi, et al.. (2025). Design, development and performance of a Fe–Mn–Si–Cu alloy for bioabsorbable medical implants. Journal of Materials Chemistry B. 13(8). 2737–2752. 1 indexed citations
3.
Patriarca, L., Ali Gökhan Demir, Jannis Nicolas Lemke, et al.. (2022). Building Orientation and Heat Treatments Effect on the Pseudoelastic Properties of NiTi Produced by LPBF. Shape Memory and Superelasticity. 8(3). 235–247. 10 indexed citations
4.
Fiocchi, Jacopo, et al.. (2021). The effect of Si addition and thermomechanical processing in an Fe-Mn alloy for biodegradable implants: Mechanical performance and degradation behavior. Materials Today Communications. 27. 102447–102447. 15 indexed citations
5.
6.
Lemke, Jannis Nicolas, et al.. (2020). Achieving improved workability and competitive high temperature shape memory performance by Nb addition to Ni-Ti-Hf alloys. Scripta Materialia. 191. 161–166. 17 indexed citations
7.
Lemke, Jannis Nicolas & Alberto Coda. (2019). DSC and microstructure analysis of high temperature Ni-Ti-Hf, low hysteresis Ni-Ti-Cu and conventional super-elastic and shape memory Ni-Ti alloy ingots and wires. Materials Today Communications. 21. 100666–100666. 11 indexed citations
8.
Coda, Alberto, et al.. (2018). Straightforward Downsizing of Inclusions in NiTi Alloys: A New Generation of SMA Wires with Outstanding Fatigue Life. Shape Memory and Superelasticity. 4(1). 41–47. 6 indexed citations
9.
Beretta, S., et al.. (2015). Inclusions Size-based Fatigue Life Prediction Model of NiTi Alloy for Biomedical Applications. Shape Memory and Superelasticity. 1(2). 240–251. 28 indexed citations
10.
Hartl, Darren J., et al.. (2015). Standardization of shape memory alloy test methods toward certification of aerospace applications. Smart Materials and Structures. 24(8). 82001–82001. 26 indexed citations
11.
Coda, Alberto. (2014). Progress On The Correlation Between Inclusions and Fatigue Behavior In NiTi Shape Memory Alloys For Biomedical Applications: Refinement Of The Statistical Approach. 1 indexed citations
12.
Beretta, S., et al.. (2014). Inclusion control and fatigue properties of NiTi wires for medical applications. SHILAP Revista de lepidopterología. 12. 4013–4013. 2 indexed citations
13.
Coda, Alberto. (2013). The Effect of Inclusions on Fatigue Behavior of Nitinol and NiTi Shape Memory Alloys for Biomedical Applications. 1 indexed citations
14.
Coda, Alberto, et al.. (2012). Characterization of Inclusions in VIM/VAR NiTi Alloys. Journal of Materials Engineering and Performance. 21(12). 2572–2577. 30 indexed citations
15.
Coda, Alberto, et al.. (2009). Investigation on the Hysteretic Behavior of NiTi Shape Memory Wires Actuated Under Quasi-Equilibrium and Dynamic Conditions. Journal of Materials Engineering and Performance. 18(5-6). 725–728. 6 indexed citations
16.
Auricchio, Ferdinando, et al.. (2009). SMA Numerical Modeling Versus Experimental Results: Parameter Identification and Model Prediction Capabilities. Journal of Materials Engineering and Performance. 18(5-6). 649–654. 41 indexed citations
17.
Pappadà, Silvio, et al.. (2009). Embedding of Superelastic SMA Wires into Composite Structures: Evaluation of Impact Properties. Journal of Materials Engineering and Performance. 18(5-6). 522–530. 34 indexed citations
18.
Fumagalli, Luca, et al.. (2009). SmartFlex® NiTi Wires for Shape Memory Actuators. Journal of Materials Engineering and Performance. 18(5-6). 691–695. 67 indexed citations
19.
Fumagalli, Luca, et al.. (2008). Smartflex NiTi Wires for Shape Memory Actuators. Advances in science and technology. 59. 198–206. 3 indexed citations
20.
Trequattrini, F., et al.. (2006). Phase transitions and thermally activated hydrogen dynamics in ZrV2Hx (0≤x≤1) intermetallic compounds. Journal of Alloys and Compounds. 438(1-2). 190–194. 4 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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