G. Servalli

503 total citations
14 papers, 299 citations indexed

About

G. Servalli is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, G. Servalli has authored 14 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 2 papers in Computer Networks and Communications. Recurrent topics in G. Servalli's work include Advanced Memory and Neural Computing (6 papers), Phase-change materials and chalcogenides (6 papers) and Semiconductor materials and devices (6 papers). G. Servalli is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Phase-change materials and chalcogenides (6 papers) and Semiconductor materials and devices (6 papers). G. Servalli collaborates with scholars based in Italy and United States. G. Servalli's co-authors include Luciano Colombo, Andrea Redaelli, Mattia Boniardi, Andrea L. Lacaita, Giuseppe D’Arrigo, F. Pellizzer, Roberto Bez, A. Pirovano, P. Cappelletti and Agostino Pirovano and has published in prestigious journals such as Europhysics Letters (EPL), IEEE Electron Device Letters and MRS Proceedings.

In The Last Decade

G. Servalli

14 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Servalli Italy 7 261 204 48 34 28 14 299
Gabriele Luca Donadio Belgium 13 405 1.6× 304 1.5× 87 1.8× 20 0.6× 74 2.6× 33 459
Gitae Jeong South Korea 10 303 1.2× 151 0.7× 36 0.8× 38 1.1× 78 2.8× 27 345
N. Jossart Belgium 11 310 1.2× 58 0.3× 34 0.7× 30 0.9× 95 3.4× 24 344
Sheng-Chih Lai Taiwan 13 437 1.7× 219 1.1× 20 0.4× 37 1.1× 22 0.8× 37 477
H.-J. Chia Taiwan 5 307 1.2× 193 0.9× 85 1.8× 27 0.8× 78 2.8× 5 336
Daisuke Matsubayashi Japan 13 375 1.4× 196 1.0× 67 1.4× 20 0.6× 32 1.1× 31 394
Junshuai Chai China 12 335 1.3× 190 0.9× 14 0.3× 37 1.1× 63 2.3× 57 423
M. Lamorey United States 6 160 0.6× 91 0.4× 26 0.5× 53 1.6× 82 2.9× 7 201
Kavindra Kandpal India 13 279 1.1× 221 1.1× 22 0.5× 27 0.8× 78 2.8× 73 397
Koji Tsunoda Japan 9 323 1.2× 83 0.4× 67 1.4× 26 0.8× 132 4.7× 21 367

Countries citing papers authored by G. Servalli

Since Specialization
Citations

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

Fields of papers citing papers by G. Servalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Servalli

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

All Works

14 of 14 papers shown
1.
Servalli, G., et al.. (2024). Materials Engineering for High Performance Ferroelectric Memory. 1–4. 3 indexed citations
2.
Visconti, A., M. Bonanomi, A. Locatelli, et al.. (2024). Comprehensive Reliability Assessment of 32Gb (Hf,Zr)O2-Based Ferroelectric NVDRAM. 1–8. 5 indexed citations
3.
Servalli, G.. (2017). Emerging memory technologies for high density applications. 30. 156–159. 3 indexed citations
4.
Boniardi, Mattia, Andrea Redaelli, F. Pellizzer, et al.. (2014). Optimization metrics for Phase Change Memory (PCM) cell architectures. 29.1.1–29.1.4. 44 indexed citations
5.
Redaelli, Andrea, et al.. (2014). High Ion/Ioff ratio BJT selector for 32 cell string Resistive RAM arrays. 104. 238–241. 1 indexed citations
6.
Redaelli, Andrea, Mattia Boniardi, A. Ghetti, et al.. (2013). Interface engineering for thermal disturb immune phase change memory technology. 30.4.1–30.4.4. 15 indexed citations
7.
Bez, Roberto, P. Cappelletti, G. Servalli, & Agostino Pirovano. (2013). Phase Change Memories have taken the field. 13–16. 12 indexed citations
8.
Bez, R., et al.. (2010). Phase Change Memory development trends. 1–4. 6 indexed citations
9.
Servalli, G.. (2009). A 45nm generation Phase Change Memory technology. 1–4. 134 indexed citations
11.
Annunziata, R., G. Ghidini, G. Pavia, et al.. (2000). Analysis and Suppression of Process-Induced Defects in Memory Devices.. MRS Proceedings. 610. 2 indexed citations
12.
Bez, R., et al.. (1998). A new erasing method for a single-voltage long-endurance flash memory. IEEE Electron Device Letters. 19(2). 37–39. 6 indexed citations
13.
Servalli, G. & Luciano Colombo. (1993). Simulation of the Amorphous-Silicon Properties and Their Dependence on Sample Preparation. Europhysics Letters (EPL). 22(2). 107–112. 53 indexed citations
14.
Colombo, Luciano & G. Servalli. (1992). Quantum Simulation of Amorphous Silicon: Preparation, Structure and Properties. MRS Proceedings. 291. 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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