Stefano Ambrogio

6.2k total citations · 1 hit paper
82 papers, 3.9k citations indexed

About

Stefano Ambrogio is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Stefano Ambrogio has authored 82 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Electrical and Electronic Engineering, 24 papers in Artificial Intelligence and 20 papers in Materials Chemistry. Recurrent topics in Stefano Ambrogio's work include Advanced Memory and Neural Computing (76 papers), Ferroelectric and Negative Capacitance Devices (63 papers) and Neural Networks and Reservoir Computing (14 papers). Stefano Ambrogio is often cited by papers focused on Advanced Memory and Neural Computing (76 papers), Ferroelectric and Negative Capacitance Devices (63 papers) and Neural Networks and Reservoir Computing (14 papers). Stefano Ambrogio collaborates with scholars based in United States, Italy and Switzerland. Stefano Ambrogio's co-authors include Daniele Ielmini, Simone Balatti, Nirmal Ramaswamy, Alessandro Calderoni, Hsinyu Tsai, Pritish Narayanan, Geoffrey W. Burr, Zhongqiang Wang, Valerio Milo and R. M. Shelby and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Stefano Ambrogio

82 papers receiving 3.8k citations

Hit Papers

align trajectories

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.

Equivalent-accuracy accelerated neural-network training using analogue memory

2018 770 citations Stefano Ambrogio, Pritish Narayanan et al. Nature profile →

Peers

Countries citing papers authored by Stefano Ambrogio

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Ambrogio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Ambrogio

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

#	Work	Indexed citations
1	Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip 2025 ·Nature Communications ·(unknown), Stefano Ambrogio, Pritish Narayanan, (unknown), Charles Mackin, Andrea Fasoli, Malte J. Rasch, Alexander Friz, (unknown), Takeo Yasuda, Masatoshi Ishii, (unknown), Kohji Hosokawa, (unknown), Seiji Munetoh, Vijay Narayanan, Hsinyu Tsai, Geoffrey W. Burr	1
2	(Invited) Emerging Nonvolatile Memories for Analog Neuromorphic Computing 2024 ·ECS Meeting Abstracts ·An Chen, Stefano Ambrogio, Pritish Narayanan, (unknown), Hsinyu Tsai, Kohji Hosokawa, Charles Mackin, Akiyo Nomura, Alexander Friz, Andrea Fasoli, (unknown), Geoffrey W. Burr	1
3	Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization 2024 ·(unknown), (unknown), Charles Mackin, Luyao Shi, Stefano Ambrogio, (unknown), Viresh Paruthi, (unknown), (unknown), David Beymer, (unknown), (unknown)	2
4	VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation 2024 ·Prashanth Vijayaraghavan, (unknown), Stefano Ambrogio, Charles Mackin, (unknown), David Beymer, (unknown)	4
5	Optimised weight programming for analogue memory-based deep neural networks 2022 ·Nature Communications ·Charles Mackin, Malte J. Rasch, An Chen, (unknown), Robert L. Bruce, Ning Li, Pritish Narayanan, Stefano Ambrogio, Manuel Le Gallo, S. R. Nandakumar, Andrea Fasoli, (unknown), Alexander Friz, Abu Sebastian, Hsinyu Tsai, Geoffrey W. Burr	34
6	Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices 2021 ·Frontiers in Computational Neuroscience ·(unknown), Hsinyu Tsai, An Chen, Malte J. Rasch, Stefano Ambrogio, Charles Mackin, Andrea Fasoli, Alexander Friz, Pritish Narayanan, Miloš Stanisavljević, Geoffrey W. Burr	16
7	Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges 2020 ·Charles Mackin, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, (unknown), Andrea Fasoli, An Chen, Alexander Friz, R. M. Shelby, Geoffrey W. Burr	4
8	Accelerating Deep Neural Networks with Analog Memory Devices 2019 ·Bulletin of the American Physical Society ·Charles Mackin, Pritish Narayanan, Hsinyu Tsai, Stefano Ambrogio, (unknown), Geoffrey W. Burr	1
9	AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed 2019 ·IBM Journal of Research and Development ·(unknown), Pritish Narayanan, (unknown), (unknown), Kohji Hosokawa, Charles Mackin, Hsinyu Tsai, Stefano Ambrogio, A. Chen, Geoffrey W. Burr	39
10	Equivalent-accuracy accelerated neural-network training using analogue memory breakdown → 2018 ·Nature ·Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, R. M. Shelby, Irem Boybat, Carmelo di Nolfo, Severin Sidler, Massimo Giordano, (unknown), (unknown), Benjamin D. Killeen, (unknown), (unknown), Geoffrey W. Burr	770
11	Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity 2017 ·Scientific Reports ·Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, S. Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini	132
12	Neuromorphic Technologies for Next-Generation Cognitive Computing 2017 ·Pritish Narayanan, Geoffrey W. Burr, Stefano Ambrogio, R. M. Shelby	4
13	Analytical Modeling of Current Overshoot in Oxide-Based Resistive Switching Memory (RRAM) 2016 ·IEEE Electron Device Letters ·Stefano Ambrogio, Valerio Milo, Zhongqiang Wang, Simone Balatti, Daniele Ielmini	22
14	Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses 2016 ·Frontiers in Neuroscience ·Stefano Ambrogio, Nicola Ciocchini, Mario Laudato, Valerio Milo, Agostino Pirovano, Paolo Fantini, Daniele Ielmini	185
15	Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity 2016 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini	54
16	A 2-transistor/1-resistor artificial synapse capable of communication and stochastic learning in neuromorphic systems 2015 ·Frontiers in Neuroscience ·Zhongqiang Wang, Stefano Ambrogio, Simone Balatti, Daniele Ielmini	66
17	Understanding pulsed-cycling variability and endurance in HfO<inf>x</inf> RRAM 2015 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Scott Sills, Alessandro Calderoni, Nirmal Ramaswamy, Daniele Ielmini	16
18	Scaling of oxide-based resistive switching devices 2014 ·Daniele Ielmini, Stefano Ambrogio, Simone Balatti	2
19	Pulsed cycling operation and endurance failure of metal-oxide resistive (RRAM) 2014 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Scott Sills, Alessandro Calderoni, Nirmal Ramaswamy, Daniele Ielmini	32
20	Spike-timing dependent plasticity in a transistor-selected resistive switching memory 2013 ·Nanotechnology ·Stefano Ambrogio, Simone Balatti, F. Nardi, Stefano Facchinetti, Daniele Ielmini	81

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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