Piergiulio Mannocci

679 total citations
26 papers, 351 citations indexed

About

Piergiulio Mannocci is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Piergiulio Mannocci has authored 26 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 12 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Piergiulio Mannocci's work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (21 papers) and Neural Networks and Reservoir Computing (9 papers). Piergiulio Mannocci is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (21 papers) and Neural Networks and Reservoir Computing (9 papers). Piergiulio Mannocci collaborates with scholars based in Italy, China and United States. Piergiulio Mannocci's co-authors include Daniele Ielmini, Matteo Farronato, Zhong Sun, Giacomo Pedretti, Saverio Ricci, Christian Monzio Compagnoni, Valerio Milo, Shahin Hashemkhani, Elisabetta Chicca and Alessandro Bricalli and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Science Advances.

In The Last Decade

Piergiulio Mannocci

24 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Piergiulio Mannocci Italy	11	316	131	60	35	31	26	351
Matteo Farronato Italy	9	325 1.0×	89 0.7×	96 1.6×	73 2.1×	48 1.5×	19	348
Yasmin Halawani United Arab Emirates	9	268 0.8×	62 0.5×	79 1.3×	27 0.8×	25 0.8×	29	318
Loai Danial Israel	8	267 0.8×	84 0.6×	97 1.6×	29 0.8×	24 0.8×	17	317
Hyeongsu Kim South Korea	13	365 1.2×	151 1.2×	86 1.4×	52 1.5×	21 0.7×	29	463
Jaehyun Kim South Korea	8	309 1.0×	100 0.8×	88 1.5×	106 3.0×	25 0.8×	15	367
Janguk Han South Korea	10	395 1.3×	180 1.4×	120 2.0×	100 2.9×	26 0.8×	29	431
Wonbo Shim United States	12	478 1.5×	87 0.7×	64 1.1×	22 0.6×	64 2.1×	33	509
Jae Hyun In South Korea	9	288 0.9×	60 0.5×	122 2.0×	51 1.5×	33 1.1×	15	359
Alexander H. Hsia United States	7	419 1.3×	107 0.8×	117 1.9×	38 1.1×	24 0.8×	11	460

Countries citing papers authored by Piergiulio Mannocci

Since Specialization

Citations

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

Fields of papers citing papers by Piergiulio Mannocci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piergiulio Mannocci

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Farronato, Matteo, Piergiulio Mannocci, Alessandro Milozzi, et al.. (2025). Seizure detection via reservoir computing in MoS ₂ -based charge trap memory devices. Science Advances. 11(3). eadr3241–eadr3241. 5 indexed citations

Zhang, Teng, Stanisław Woźniak, Syed Ghazi Sarwat, et al.. (2025). Emerging Materials and Computing Paradigms for Temporal Signal Analysis. Advanced Materials. 37(12). e2408566–e2408566. 4 indexed citations

Mannocci, Piergiulio, Saverio Ricci, Matteo Farronato, et al.. (2025). 3-D Vertical Resistive Switching Random Access Memory (3D-VRRAM) With Multilevel Programming for High-Density, Energy-Efficient In-Memory Computing. IEEE Transactions on Electron Devices. 72(5). 2677–2684.

Mannocci, Piergiulio, Saverio Ricci, Matteo Farronato, et al.. (2024). High-Density Multilevel 3D Vertical Resistive Switching Memory (VRRAM) for Massively Parallel in-Memory Computing. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 1 indexed citations

Mannocci, Piergiulio, et al.. (2024). Compact Modeling and Mitigation of Parasitics in Crosspoint Accelerators of Neural Networks. IEEE Transactions on Electron Devices. 71(3). 1900–1906. 4 indexed citations

Mannocci, Piergiulio, et al.. (2023). In-memory computing with emerging memory devices: Status and outlook. SHILAP Revista de lepidopterología. 1(1). 64 indexed citations

Chen, Zirui, Yue Zhou, Yaoyao Fu, et al.. (2023). An Ultrafast (< 200 ns) Sparse Solution Solver made by HfWO_x/VO_y Threshold Tunable Neurons. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4.

Mannocci, Piergiulio, et al.. (2023). An SRAM-based reconfigurable analog in-memory computing circuit for solving linear algebra problems. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 4 indexed citations

Mannocci, Piergiulio & Daniele Ielmini. (2023). A Generalized Block-Matrix Circuit for Closed-Loop Analog In-Memory Computing. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 9(1). 47–55. 10 indexed citations

10.

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

11.

Farronato, Matteo, et al.. (2023). In-Memory Computing for Machine Learning and Deep Learning. IEEE Journal of the Electron Devices Society. 11. 587–601. 11 indexed citations

12.

Ielmini, Daniele, et al.. (2022). Status and challenges of in-memory computing for neural accelerators. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–2. 2 indexed citations

13.

Ricci, Saverio, Piergiulio Mannocci, Matteo Farronato, Shahin Hashemkhani, & Daniele Ielmini. (2022). Forming‐Free Resistive Switching Memory Crosspoint Arrays for In‐Memory Machine Learning. SHILAP Revista de lepidopterología. 4(8). 18 indexed citations

14.

Farronato, Matteo, et al.. (2022). Reservoir Computing with Charge‐Trap Memory Based on a MoS₂ Channel for Neuromorphic Engineering. Advanced Materials. 35(37). e2205381–e2205381. 60 indexed citations

15.

Mannocci, Piergiulio, Cristian Zambelli, P. Olivo, et al.. (2022). In-Memory Principal Component Analysis by Crosspoint Array of Resistive Switching Memory: A new hardware approach for energy-efficient data analysis in edge computing. IEEE Nanotechnology Magazine. 16(2). 4–13. 8 indexed citations

16.

Mannocci, Piergiulio, et al.. (2022). Modeling and Compensation of IR Drop in Crosspoint Accelerators of Neural Networks. IEEE Transactions on Electron Devices. 69(3). 1575–1581. 30 indexed citations

17.

Pedretti, Giacomo, Piergiulio Mannocci, Can Li, et al.. (2021). Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part II: Applications and Benchmark. IEEE Transactions on Electron Devices. 68(9). 4379–4383. 6 indexed citations

18.

Pedretti, Giacomo, Piergiulio Mannocci, Can Li, et al.. (2021). Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part I: Programming Techniques. IEEE Transactions on Electron Devices. 68(9). 4373–4378. 17 indexed citations

19.

Pedretti, Giacomo, Valerio Milo, Shahin Hashemkhani, et al.. (2020). A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 4 indexed citations

20.

Pedretti, Giacomo, Piergiulio Mannocci, Shahin Hashemkhani, et al.. (2020). A Spiking Recurrent Neural Network With Phase-Change Memory Neurons and Synapses for the Accelerated Solution of Constraint Satisfaction Problems. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 6(1). 89–97. 28 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