I. Tortorelli

494 total citations
17 papers, 388 citations indexed

About

I. Tortorelli is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, I. Tortorelli has authored 17 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 9 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in I. Tortorelli's work include Phase-change materials and chalcogenides (14 papers), Advanced Memory and Neural Computing (7 papers) and Liquid Crystal Research Advancements (7 papers). I. Tortorelli is often cited by papers focused on Phase-change materials and chalcogenides (14 papers), Advanced Memory and Neural Computing (7 papers) and Liquid Crystal Research Advancements (7 papers). I. Tortorelli collaborates with scholars based in Italy, United States and Switzerland. I. Tortorelli's co-authors include Andrea Redaelli, F. Pellizzer, A. Pirovano, Mattia Boniardi, Daniele Ielmini, P. Zuliani, R. Annunziata, Massimo Borghi, E. Varesi and Andrea L. Lacaita and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Electron Devices and Thin Solid Films.

In The Last Decade

I. Tortorelli

17 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I. Tortorelli Italy	11	362	336	96	89	37	17	388
Daolin Cai China	12	401 1.1×	399 1.2×	118 1.2×	76 0.9×	56 1.5×	46	461
R. Annunziata Italy	11	501 1.4×	459 1.4×	78 0.8×	113 1.3×	74 2.0×	28	535
Jeung-hyun Jeong South Korea	12	327 0.9×	357 1.1×	75 0.8×	88 1.0×	46 1.2×	25	403
N. Takaura Japan	14	353 1.0×	338 1.0×	126 1.3×	54 0.6×	24 0.6×	41	441
Yinyin Lin China	12	380 1.0×	314 0.9×	80 0.8×	85 1.0×	53 1.4×	42	437
D. Kau United States	6	246 0.7×	211 0.6×	88 0.9×	43 0.5×	32 0.9×	9	292
Bong Jin Kuh South Korea	10	532 1.5×	367 1.1×	77 0.8×	85 1.0×	83 2.2×	26	611
Bob Johnson United States	4	261 0.7×	282 0.8×	71 0.7×	66 0.7×	44 1.2×	5	344
T. Lowrey United States	8	373 1.0×	348 1.0×	77 0.8×	99 1.1×	35 0.9×	12	423
Ting-Ao Tang China	14	566 1.6×	419 1.2×	99 1.0×	118 1.3×	126 3.4×	52	662

Countries citing papers authored by I. Tortorelli

Since Specialization

Citations

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

Fields of papers citing papers by I. Tortorelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Tortorelli

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

All Works

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17 of 17 papers shown

Farronato, Matteo, et al.. (2024). Low-energy, high-accuracy convolutional network inference in 3D crosspoint (3DXP) arrays. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 412–415. 1 indexed citations

Mannocci, Piergiulio, et al.. (2023). In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regime. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 2 indexed citations

Zuliani, P., et al.. (2013). Overcoming Temperature Limitations in Phase Change Memories With Optimized ${\rm Ge}_{\rm x}{\rm Sb}_{\rm y}{\rm Te}_{\rm z}$. IEEE Transactions on Electron Devices. 60(12). 4020–4026. 100 indexed citations

Boniardi, Mattia, Andrea Redaelli, I. Tortorelli, F. Pellizzer, & Agostino Pirovano. (2012). Internal Temperature Extraction in Phase-Change Memory Cells During the Reset Operation. IEEE Electron Device Letters. 33(4). 594–596. 20 indexed citations

Boniardi, Mattia, Andrea Redaelli, I. Tortorelli, et al.. (2012). Electrical and Thermal Behavior of Tellurium Poor GeSbTe Compounds for Phase Change Memory. 1–3. 10 indexed citations

Deleruyelle, Damien, Christophe Müller, Sabina Spiga, et al.. (2011). Resistive switching characteristics of NiO films deposited on top of W or Cu pillar bottom electrodes. Thin Solid Films. 519(11). 3798–3803. 7 indexed citations

Boniardi, Mattia, Daniele Ielmini, I. Tortorelli, et al.. (2010). Impact of Ge–Sb–Te compound engineering on the set operation performance in phase-change memories. Solid-State Electronics. 58(1). 11–16. 23 indexed citations

Boniardi, Mattia, Daniele Ielmini, Andrea L. Lacaita, et al.. (2010). Impact of material composition on the write performance of phase-change memory devices. 1–4. 10 indexed citations

Redaelli, Andrea, A. Pirovano, I. Tortorelli, et al.. (2010). Impact of the current density increase on reliability in scaled BJT-selected PCM for high-density applications. 615–619. 21 indexed citations

10.

Annunziata, R., P. Zuliani, Massimo Borghi, et al.. (2009). Phase Change Memory technology for embedded non volatile memory applications for 90nm and beyond. 1–4. 50 indexed citations

11.

Boniardi, Mattia, Andrea Redaelli, A. Pirovano, et al.. (2009). A physics-based model of electrical conduction decrease with time in amorphous Ge2Sb2Te5. Journal of Applied Physics. 105(8). 69 indexed citations

12.

Redaelli, Andrea, A. Pirovano, I. Tortorelli, Daniele Ielmini, & Andrea L. Lacaita. (2008). A Reliable Technique for Experimental Evaluation of Crystallization Activation Energy in PCMs. IEEE Electron Device Letters. 29(1). 41–43. 22 indexed citations

13.

Pasotti, M., Massimo Borghi, P. Zuliani, et al.. (2008). Program circuit for a phase change memory array with 2 MB/s write throughput for embedded applications. 198–201. 10 indexed citations

14.

Pirovano, A., F. Pellizzer, I. Tortorelli, et al.. (2008). Phase-change memory technology with self-aligned μTrench cell architecture for 90nm node and beyond. Solid-State Electronics. 52(9). 1467–1472. 17 indexed citations

15.

Pirovano, A., F. Pellizzer, I. Tortorelli, et al.. (2007). Self-aligned μTrench phase-change memory cell architecture for 90nm technology and beyond. 222–225. 14 indexed citations

16.

Pirovano, A., F. Pellizzer, Andrea Redaelli, et al.. (2005). μTrench phase-change memory cell engineering and optimization. 313–316. 11 indexed citations

17.

Falletti, Emanuela, F. Sellone, & I. Tortorelli. (2002). An adaptive space–time receiver for high‐capacity communications systems based on multichannel multirate DS‐CDMA. Wireless Communications and Mobile Computing. 2(8). 847–866. 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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