Tommaso Zanotti

547 total citations
31 papers, 409 citations indexed

About

Tommaso Zanotti is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Hardware and Architecture. According to data from OpenAlex, Tommaso Zanotti has authored 31 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Hardware and Architecture. Recurrent topics in Tommaso Zanotti's work include Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (24 papers) and Semiconductor materials and devices (11 papers). Tommaso Zanotti is often cited by papers focused on Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (24 papers) and Semiconductor materials and devices (11 papers). Tommaso Zanotti collaborates with scholars based in Italy, Spain and Saudi Arabia. Tommaso Zanotti's co-authors include Francesco Maria Puglisi, Paolo Pavan, Kaichen Zhu, Mario Lanza, Xuehua Li, Tao Wang, Wenwen Zheng, J.B. Roldán, Victoria Chen and Chao Wen and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Tommaso Zanotti

29 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tommaso Zanotti Italy 11 367 129 54 54 42 31 409
Siyan Lin China 7 348 0.9× 120 0.9× 66 1.2× 73 1.4× 57 1.4× 19 432
Chrong-Jung Lin Taiwan 10 538 1.5× 74 0.6× 91 1.7× 85 1.6× 44 1.0× 33 581
Hassen Aziza France 12 494 1.3× 99 0.8× 56 1.0× 29 0.5× 35 0.8× 45 521
Karsten Beckmann United States 13 480 1.3× 153 1.2× 58 1.1× 67 1.2× 52 1.2× 55 503
Jae Hyun In South Korea 9 288 0.8× 122 0.9× 95 1.8× 33 0.6× 60 1.4× 15 359
Xingqi Zou China 11 290 0.8× 52 0.4× 26 0.5× 31 0.6× 47 1.1× 24 347
Chorng-Jung Lin Taiwan 8 766 2.1× 145 1.1× 78 1.4× 45 0.8× 99 2.4× 9 804
Hui-Yao Kao Taiwan 7 515 1.4× 83 0.6× 52 1.0× 26 0.5× 88 2.1× 7 552
Jeeson Kim South Korea 10 438 1.2× 166 1.3× 133 2.5× 54 1.0× 48 1.1× 21 520

Countries citing papers authored by Tommaso Zanotti

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Zanotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Zanotti

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Zanotti. A scholar is included among the top collaborators of Tommaso Zanotti 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 Tommaso Zanotti. Tommaso Zanotti 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.
Zanotti, Tommaso, et al.. (2025). Simulation and benchmarking of crossbar parasitic resistance models: Accuracy and performance comparison. SHILAP Revista de lepidopterología. 3(2).
2.
Gandolfi, Daniela, et al.. (2024). Information Transfer in Neuronal Circuits: From Biological Neurons to Neuromorphic Electronics. SHILAP Revista de lepidopterología. 3. 2 indexed citations
3.
Zanotti, Tommaso, Alok Ranjan, S. J. O’Shea, et al.. (2024). Guidelines for the Design of Random Telegraph Noise-Based True Random Number Generators. IEEE Transactions on Device and Materials Reliability. 24(2). 184–193. 5 indexed citations
4.
Pazos, Sebastián, Tommaso Zanotti, Wenwen Zheng, et al.. (2024). Embedded true random number generators enabled by hexagonal boron nitride memristors. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–5. 1 indexed citations
5.
Zanotti, Tommaso, et al.. (2023). Ultra-low power logic in memory with commercial grade memristors and FPGA-based smart-IMPLY architecture. Microelectronic Engineering. 280. 112062–112062. 5 indexed citations
6.
7.
Zanotti, Tommaso, Paolo Pavan, & Francesco Maria Puglisi. (2022). Comprehensive physics-based RRAM compact model including the effect of variability and multi-level random telegraph noise. Microelectronic Engineering. 266. 111886–111886. 7 indexed citations
8.
Pazos, Sebastián, Wenwen Zheng, Tommaso Zanotti, et al.. (2022). Hardware implementation of a true random number generator integrating a hexagonal boron nitride memristor with a commercial microcontroller. Nanoscale. 15(5). 2171–2180. 24 indexed citations
9.
Zanotti, Tommaso. (2022). Reliability and Prospects of Logic-in-Memory Circuits. IRIS UNIMORE (University of Modena and Reggio Emilia). 369–371.
10.
Zanotti, Tommaso, Paolo Pavan, & Francesco Maria Puglisi. (2022). Self-consistent Automated Parameter Extraction of RRAM Physics-Based Compact Model. IRIS UNIMORE (University of Modena and Reggio Emilia). 316–319. 1 indexed citations
11.
Zanotti, Tommaso, Paolo Pavan, & Francesco Maria Puglisi. (2021). Multi-Input Logic-in-Memory for Ultra-Low Power Non-Von Neumann Computing. Micromachines. 12(10). 1243–1243. 7 indexed citations
12.
Zanotti, Tommaso, Paolo Pavan, & Francesco Maria Puglisi. (2021). Performances and Trade-offs of Low-Bit Precision Neural Networks based on Resistive Memories. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–5. 1 indexed citations
13.
Puglisi, Francesco Maria, Tommaso Zanotti, & Paolo Pavan. (2021). Optimized Synthesis Method for Ultra-Low Power Multi-Input Material Implication Logic With Emerging Non-Volatile Memories. IEEE Transactions on Circuits and Systems I Regular Papers. 68(11). 4433–4443. 2 indexed citations
14.
Wen, Chao, Xuehua Li, Tommaso Zanotti, et al.. (2021). Data Encryption: Advanced Data Encryption using 2D Materials (Adv. Mater. 27/2021). Advanced Materials. 33(27). 2 indexed citations
15.
Zanotti, Tommaso, Francesco Maria Puglisi, & Paolo Pavan. (2020). Reliability-Aware Design Strategies for Stateful Logic-in-Memory Architectures. IEEE Transactions on Device and Materials Reliability. 20(2). 278–285. 17 indexed citations
16.
Zanotti, Tommaso, Francesco Maria Puglisi, & Paolo Pavan. (2020). Smart Logic-in-Memory Architecture For Ultra-Low Power Large Fan-In Operations. IRIS UNIMORE (University of Modena and Reggio Emilia). 7. 31–35. 7 indexed citations
17.
Zanotti, Tommaso, Francesco Maria Puglisi, & Paolo Pavan. (2020). Circuit Reliability Analysis of In-Memory Inference in Binarized Neural Networks. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–5. 4 indexed citations
18.
Puglisi, Francesco Maria, Tommaso Zanotti, & Paolo Pavan. (2019). Unimore Resistive Random Access Memory (RRAM) Verilog-A Model. IRIS UNIMORE (University of Modena and Reggio Emilia). 18 indexed citations
19.
Puglisi, Francesco Maria, Tommaso Zanotti, & Paolo Pavan. (2019). SIMPLY: Design of a RRAM-Based Smart Logic-in-Memory Architecture using RRAM Compact Model. IRIS UNIMORE (University of Modena and Reggio Emilia). 130–133. 13 indexed citations
20.
Zanotti, Tommaso, Francesco Maria Puglisi, & Paolo Pavan. (2019). Circuit Reliability of Low-Power RRAM-Based Logic-in-Memory Architectures. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–5. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Siyan Lin Breakdown of academic impact, for papers by Chrong-Jung Lin Breakdown of academic impact, for papers by Hassen Aziza Breakdown of academic impact, for papers by Karsten Beckmann Breakdown of academic impact, for papers by Jae Hyun In Breakdown of academic impact, for papers by Xingqi Zou Breakdown of academic impact, for papers by Chorng-Jung Lin Breakdown of academic impact, for papers by Hui-Yao Kao Breakdown of academic impact, for papers by Jeeson Kim
Rankless by CCL
2026