Giovanni Finocchio

9.5k total citations · 2 hit papers
231 papers, 5.9k citations indexed

About

Giovanni Finocchio is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Giovanni Finocchio has authored 231 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Atomic and Molecular Physics, and Optics, 93 papers in Electrical and Electronic Engineering and 84 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Giovanni Finocchio's work include Magnetic properties of thin films (154 papers), Magnetic Properties and Applications (65 papers) and Quantum and electron transport phenomena (52 papers). Giovanni Finocchio is often cited by papers focused on Magnetic properties of thin films (154 papers), Magnetic Properties and Applications (65 papers) and Quantum and electron transport phenomena (52 papers). Giovanni Finocchio collaborates with scholars based in Italy, United States and Spain. Giovanni Finocchio's co-authors include Mario Carpentieri, Riccardo Tomasello, B. Azzerboni, L. Torres, E. Martı́nez, Roberto Zivieri, Zhongming Zeng, Giancarlo Consolo, Vito Puliafito and Pedram Khalili Amiri and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Giovanni Finocchio

217 papers receiving 5.8k citations

Hit Papers

A strategy for the design... 2014 2026 2018 2022 2014 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Finocchio Italy 38 4.3k 2.2k 1.8k 1.7k 902 231 5.9k
Mario Carpentieri Italy 32 2.9k 0.7× 1.4k 0.6× 1.3k 0.7× 1.2k 0.7× 542 0.6× 162 4.0k
Dieter Suess Austria 34 4.0k 0.9× 783 0.4× 2.6k 1.4× 1.3k 0.8× 802 0.9× 257 4.9k
С. А. Никитов Russia 34 3.2k 0.8× 2.0k 0.9× 1.8k 1.0× 781 0.5× 774 0.9× 304 4.2k
J. A. Katine United States 53 11.3k 2.6× 5.2k 2.3× 4.6k 2.5× 3.4k 2.0× 1.4k 1.5× 197 12.7k
Fei Gao China 33 3.6k 0.8× 1.5k 0.7× 2.0k 1.1× 364 0.2× 1.8k 2.0× 200 5.9k
D. Ravelosona France 41 5.2k 1.2× 3.0k 1.4× 2.6k 1.4× 1.5k 0.9× 460 0.5× 170 6.7k
Meng Xiao China 43 5.3k 1.2× 2.0k 0.9× 2.0k 1.1× 376 0.2× 1.7k 1.8× 133 7.3k
Baile Zhang Singapore 51 7.0k 1.6× 2.2k 1.0× 3.8k 2.1× 555 0.3× 2.8k 3.1× 204 10.4k
J. Fidler Austria 49 5.5k 1.3× 2.0k 0.9× 5.5k 3.0× 1.7k 1.0× 1.8k 2.0× 315 8.9k
Weisheng Zhao China 62 8.3k 1.9× 9.1k 4.1× 3.0k 1.6× 1.6k 1.0× 975 1.1× 640 14.1k

Countries citing papers authored by Giovanni Finocchio

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Finocchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Finocchio

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Finocchio. A scholar is included among the top collaborators of Giovanni Finocchio 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 Giovanni Finocchio. Giovanni Finocchio 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.
Legrand, William, et al.. (2026). On demand laser-induced frequency tuning of coherent magnons in a nanometer-thick magnet at room temperature. Nature Communications. 17(1). 145–145.
2.
Rodrigues, Davi R., et al.. (2025). A design of magnetic tunnel junctions for the deployment of neuromorphic hardware for edge computing. Applied Physics Letters. 126(9).
3.
Katine, J. A., et al.. (2025). An integrated-circuit-based probabilistic computer that uses voltage-controlled magnetic tunnel junctions as its entropy source. Nature Electronics. 8(9). 784–793. 1 indexed citations
4.
Tomasello, Riccardo, et al.. (2025). Spin-wave eigenmodes in nanoscale magnetic tunnel junctions with perpendicular magnetic anisotropy. Physical Review Applied. 23(3). 1 indexed citations
5.
Kechrakos, D., Francesca Garescì, Mario Carpentieri, et al.. (2025). Skyrmions in synthetic antiferromagnet nanorings for electrical signal generation. Journal of Physics D Applied Physics. 58(11). 115001–115001. 1 indexed citations
6.
Giordano, A., Junta Igarashi, Butsurin Jinnai, et al.. (2024). Nanoscale spin rectifiers for harvesting ambient radiofrequency energy. Nature Electronics. 7(8). 653–661. 6 indexed citations
7.
Hamadeh, A., Davi R. Rodrigues, Vitaliy Lomakin, et al.. (2024). Core Reversal in Vertically Coupled Vortices: Simulation and Experimental Study. IEEE Transactions on Nanotechnology. 23. 549–553. 2 indexed citations
9.
Rodrigues, Davi R., Vito Puliafito, B. Azzerboni, et al.. (2024). Manipulation of 2D and 3D Magnetic Solitons Under the Influence of DMI Gradients. SHILAP Revista de lepidopterología. 5. 68–79.
10.
Tu, Huayao, Like Zhang, Wenxing Lv, et al.. (2023). Neural-like population coding based on spin-torque diode. Applied Physics Letters. 122(12). 3 indexed citations
11.
Carpentieri, Mario, Like Zhang, Bin Fang, et al.. (2023). Nonlinear amplification of microwave signals in spin-torque oscillators. Nature Communications. 14(1). 2183–2183. 9 indexed citations
12.
Dávila, Noraica, et al.. (2023). Probabilistic computing with voltage-controlled dynamics in magnetic tunnel junctions. Nanotechnology. 34(49). 495203–495203. 20 indexed citations
13.
Cervino, Gabriele, Marco Cicciù, Luca Fiorillo, & Giovanni Finocchio. (2022). Clinical Applications of the Algorithm “Pipeline Advanced Contrast Enhancement (Pace)” in Dental Radiology. SHILAP Revista de lepidopterología. 10–10. 2 indexed citations
14.
Tomasello, Riccardo, A. Giordano, Francesca Garescì, et al.. (2021). Role of magnetic skyrmions for the solution of the shortest path problem. Journal of Magnetism and Magnetic Materials. 532. 167977–167977. 8 indexed citations
15.
Giordano, A., Andrea Grimaldi, Vito Puliafito, et al.. (2021). Reliability of Neural Networks Based on Spintronic Neurons. IEEE Magnetics Letters. 12. 1–5. 12 indexed citations
16.
Tomasello, Riccardo, et al.. (2020). Magnetization reversal signatures of hybrid and pure Néel skyrmions in thin film multilayers. APL Materials. 8(11). 12 indexed citations
17.
Tomasello, Riccardo, S. Tacchi, Giulio Siracusano, et al.. (2018). Observation of Magnetic Radial Vortex Nucleation in a Multilayer Stack with Tunable Anisotropy. Scientific Reports. 8(1). 7180–7180. 27 indexed citations
18.
Alejos, Ó., V. Raposo, Luis Sánchez-Tejerina, et al.. (2018). Current-driven domain wall dynamics in ferromagnetic layers synthetically exchange-coupled by a spacer: A micromagnetic study. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 18 indexed citations
19.
Pacini, Nic, et al.. (2017). Rate of entropy model for irreversible processes in living systems. Scientific Reports. 7(1). 9134–9134. 19 indexed citations
20.
Zeng, Zhongming, Giovanni Finocchio, & Hong-Wen Jiang. (2013). Spin transfer nano-oscillators. Nanoscale. 5(6). 2219–2219. 150 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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