Giacomo Pedretti

2.8k total citations · 1 hit paper
64 papers, 2.0k citations indexed

About

Giacomo Pedretti is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Giacomo Pedretti has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 25 papers in Artificial Intelligence and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Giacomo Pedretti's work include Advanced Memory and Neural Computing (50 papers), Ferroelectric and Negative Capacitance Devices (29 papers) and Neural dynamics and brain function (14 papers). Giacomo Pedretti is often cited by papers focused on Advanced Memory and Neural Computing (50 papers), Ferroelectric and Negative Capacitance Devices (29 papers) and Neural dynamics and brain function (14 papers). Giacomo Pedretti collaborates with scholars based in Italy, United States and Germany. Giacomo Pedretti's co-authors include Daniele Ielmini, Valerio Milo, Wei Wang, Nirmal Ramaswamy, Alessandro Calderoni, Roberto Carboni, Elia Ambrosi, Zhong Sun, Carlo Ricciardi and Shahin Hashemkhani and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Giacomo Pedretti

55 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks

2021 322 citations Giacomo Pedretti, Saverio Ricci et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giacomo Pedretti Italy	21	1.8k	631	595	459	169	64	2.0k
Akhilesh Jaiswal United States	17	2.1k 1.2×	660 1.0×	422 0.7×	503 1.1×	125 0.7×	60	2.4k
Christian Gamrat France	18	2.2k 1.2×	452 0.7×	1.0k 1.7×	639 1.4×	188 1.1×	36	2.3k
Sukru Burc Eryilmaz United States	8	1.7k 0.9×	368 0.6×	623 1.0×	257 0.6×	188 1.1×	14	1.8k
Seung Hwan Lee United States	17	2.4k 1.3×	983 1.6×	606 1.0×	625 1.4×	244 1.4×	36	2.6k
Valerio Milo Italy	21	1.6k 0.9×	271 0.4×	709 1.2×	363 0.8×	185 1.1×	34	1.7k
Noraica Dávila United States	17	2.8k 1.6×	509 0.8×	1.1k 1.8×	426 0.9×	314 1.9×	23	2.9k
Christian Mayr Germany	21	1.3k 0.7×	242 0.4×	642 1.1×	528 1.2×	99 0.6×	131	1.5k
Fuxi Cai United States	12	2.8k 1.6×	1.2k 1.9×	898 1.5×	772 1.7×	217 1.3×	20	3.0k
Abhronil Sengupta United States	27	1.8k 1.0×	739 1.2×	296 0.5×	362 0.8×	120 0.7×	79	2.2k
Daniel Belkin United States	5	1.3k 0.7×	278 0.4×	552 0.9×	287 0.6×	119 0.7×	8	1.4k

Countries citing papers authored by Giacomo Pedretti

Since Specialization

Citations

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

Fields of papers citing papers by Giacomo Pedretti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Pedretti

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

Zhao, Lei, et al.. (2025). Enhancing FPGAs with Analog In-Memory Computing Macros. 179–179. 1 indexed citations

Valiante, E., Moslem Noori, Fabian Böhm, et al.. (2025). Parallel tempering–inspired distributed binary optimization with in-memory computing. Physical Review Applied. 23(3).

Pedretti, Giacomo, et al.. (2025). Real-time raw signal genomic analysis using fully integrated memristor hardware. Nature Computational Science. 5(10). 940–951.

Dong, Shuai, Giacomo Pedretti, Xia Sheng, et al.. (2025). Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks. Nature Communications. 16(1). 1136–1136. 4 indexed citations

Pedretti, Giacomo, Sergey Serebryakov, Omar Eldash, et al.. (2024). CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. 1–9.

Pedretti, Giacomo, Lei Zhao, J. W. Moon, et al.. (2024). Memristive Quaternary Content-Addressable Memories for Implementing Boolean Functions. 1–5. 1 indexed citations

Aysu, Aydın, et al.. (2024). RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost. ACM Transactions on Reconfigurable Technology and Systems. 17(4). 1–33. 3 indexed citations

Pedretti, Giacomo, Xia Sheng, Jim Ignowski, et al.. (2024). Computing high-degree polynomial gradients in memory. Nature Communications. 15(1). 8211–8211. 10 indexed citations

Pedretti, Giacomo, Sergey Serebryakov, Ron M. Roth, et al.. (2024). X-TIME: Accelerating Large Tree Ensembles Inference for Tabular Data With Analog CAMs. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 10. 116–124. 2 indexed citations

10.

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

11.

Pedretti, Giacomo, et al.. (2024). HO-FPIA: High-Order Field-Programmable Ising Arrays with In-Memory Computing. 252–259.

12.

Pedretti, Giacomo, Fabian Böhm, Tanmoy Bhattacharya, et al.. (2023). Zeroth and higher-order logic with content addressable memories. 1–4. 3 indexed citations

13.

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

14.

Li, Can, Catherine E. Graves, Xia Sheng, et al.. (2020). Analog content-addressable memories with memristors. Nature Communications. 11(1). 1638–1638. 124 indexed citations

15.

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

16.

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

17.

Sun, Zhong, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, & Daniele Ielmini. (2020). In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 22. 26–30. 1 indexed citations

18.

Covi, Erika, Yu‐Hsuan Lin, Wei Wang, et al.. (2019). A Volatile RRAM Synapse for Neuromorphic Computing. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 903–906. 22 indexed citations

19.

Wang, Wei, Giacomo Pedretti, Valerio Milo, et al.. (2018). Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses. Science Advances. 4(9). eaat4752–eaat4752. 211 indexed citations

20.

Pedretti, Giacomo, Valerio Milo, Stefano Ambrogio, et al.. (2017). Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity. Scientific Reports. 7(1). 132 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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