C. Sabbione

992 total citations
46 papers, 731 citations indexed

About

C. Sabbione is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, C. Sabbione has authored 46 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 41 papers in Materials Chemistry and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in C. Sabbione's work include Phase-change materials and chalcogenides (38 papers), Chalcogenide Semiconductor Thin Films (29 papers) and Advanced Memory and Neural Computing (10 papers). C. Sabbione is often cited by papers focused on Phase-change materials and chalcogenides (38 papers), Chalcogenide Semiconductor Thin Films (29 papers) and Advanced Memory and Neural Computing (10 papers). C. Sabbione collaborates with scholars based in France, Italy and United States. C. Sabbione's co-authors include Pierre Noé, F. Hippert, G. Navarro, Nicolas Bernier, Emmanuel Nolot, N. Castellani, F. Fillot, M. Bernard, Cristian Mocuta and V. Sousa and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Acta Materialia.

In The Last Decade

C. Sabbione

44 papers receiving 708 citations

Peers

C. Sabbione

EEE

EOMM

A. Roule France

V. Sousa France

Xinhong Cheng China

Hongjia Song China

J. López-Vidrier Spain

Chang‐Ho Ra South Korea

Jie Feng China

Hyosug Lee South Korea

Alexej Pogrebnyakov United States

Jianting Lu China

A. Roule France

C. Sabbione

448 ×0.7

EEE

332 ×0.5

73 ×0.5

105 ×0.8

109 ×1.0

EOMM

Citations per year, relative to C. Sabbione C. Sabbione (= 1×) peers A. Roule

Countries citing papers authored by C. Sabbione

Since Specialization

Citations

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

Fields of papers citing papers by C. Sabbione

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Sabbione

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

Bernier, Nicolas, C. Sabbione, Jean‐Luc Rouvière, et al.. (2024). Quantitative Scanning Transmission Electron Microscopy–High‐Angle‐Annular Dark‐Field Study of the Structure of Pseudo‐2D Sb₂Te₃ Films Grown by (Quasi) Van der Waals Epitaxy. physica status solidi (RRL) - Rapid Research Letters. 3 indexed citations

Kerdilès, S., et al.. (2024). C54-TiSi2 formation using nanosecond laser annealing of A-Si/Ti/A-Si stacks. Thin Solid Films. 798. 140386–140386. 1 indexed citations

Navarro, G., M. Bernard, C. Carabasse, et al.. (2024). 1S1R Multi-Level-Cell for Dense Quantized Recurrent Spiking Neural Network Inference Computing. 1 indexed citations

May, Michael, et al.. (2023). E-beam direct write lithography: the versatile ally of optical lithography. SPIRE - Sciences Po Institutional REpository. 51–51.

Luong, Minh Anh, et al.. (2023). A comparison of Ge, Sb and Te thermal diffusion through Ge2Sb2Te5. Materials Science in Semiconductor Processing. 164. 107644–107644. 1 indexed citations

Navarro, G., C. Sabbione, M. Frei, et al.. (2022). Multilayer Deposition in Phase-Change Memory for Best Endurance Performance and Reduced Bit Error Rate. SPIRE - Sciences Po Institutional REpository. 1–4. 3 indexed citations

Escoubas, S., Magali Putero, Cristian Mocuta, et al.. (2020). Stress Buildup Upon Crystallization of GeTe Thin Films: Curvature Measurements and Modelling. Nanomaterials. 10(6). 1247–1247. 4 indexed citations

Verdy, Anthonin, Jean‐Baptiste Jager, M. Bernard, et al.. (2020). Ge–Sb–S–Se–Te amorphous chalcogenide thin films towards on-chip nonlinear photonic devices. Scientific Reports. 10(1). 11894–11894. 34 indexed citations

D’Acapito, F., et al.. (2020). Local structure of [(GeTe) ₂ /(Sb ₂ Te ₃ ) _m ] _n super-lattices by x-ray absorption spectroscopy. Journal of Physics D Applied Physics. 53(40). 404002–404002. 12 indexed citations

10.

Hippert, F., et al.. (2020). Growth mechanism of highly oriented layered Sb ₂ Te ₃ thin films on various materials. Journal of Physics D Applied Physics. 53(15). 154003–154003. 21 indexed citations

11.

Jeynes, C., Emmanuel Nolot, Catia Costa, et al.. (2020). Quantifying nitrogen in GeSbTe:N alloys. Journal of Analytical Atomic Spectrometry. 35(4). 701–712. 15 indexed citations

12.

Bernard, M., N. Rochat, D. Rouchon, et al.. (2020). Innovative Multilayer OTS Selectors for Performance Tuning and Improved Reliability. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 7 indexed citations

13.

Nolot, Emmanuel, et al.. (2020). Germanium, antimony, tellurium, their binary and ternary alloys and the impact of nitrogen: An X-ray photoelectron study. Applied Surface Science. 536. 147703–147703. 60 indexed citations

14.

Bourgeois, G., C. Sabbione, N. Castellani, et al.. (2020). Innovative Low-Power Self-Nanoconfined Phase-Change Memory. IEEE Transactions on Electron Devices. 68(2). 535–540. 4 indexed citations

15.

Nolot, Emmanuel, E. Martínez, F. Fillot, et al.. (2020). Temperature driven structural evolution of Ge-rich GeSbTe alloys and role of N-doping. Journal of Applied Physics. 128(21). 21 indexed citations

16.

Bernier, Nicolas, Éric Robin, Anass Benayad, et al.. (2019). Understanding the Crystallization Behavior of Surface-Oxidized GeTe Thin Films for Phase-Change Memory Application. ACS Applied Electronic Materials. 1(5). 701–710. 26 indexed citations

17.

Hippert, F., et al.. (2018). Impact of Stoichiometry on the Structure of van der Waals Layered GeTe/Sb₂Te₃ Superlattices Used in Interfacial Phase‐Change Memory (iPCM) Devices. Small. 14(24). e1704514–e1704514. 53 indexed citations

18.

Navarro, G., Anthonin Verdy, G. Bourgeois, et al.. (2017). Innovative PCM+OTS device with high sub-threshold non-linearity for non-switching reading operations and higher endurance performance. T94–T95. 33 indexed citations

19.

Berthier, R., Nicolas Bernier, David Cooper, et al.. (2017). In situ observation of the impact of surface oxidation on the crystallization mechanism of GeTe phase-change thin films by scanning transmission electron microscopy. Journal of Applied Physics. 122(11). 35 indexed citations

20.

Richard, Marie‐Ingrid, Pierre Noé, Cristian Mocuta, et al.. (2016). Stress buildup during crystallization of thin chalcogenide films for memory applications: In situ combination of synchrotron X-Ray diffraction and wafer curvature measurements. Thin Solid Films. 617. 44–47. 9 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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