Alessandro Fumarola

1.4k total citations · 1 hit paper
11 papers, 1.1k citations indexed

About

Alessandro Fumarola is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alessandro Fumarola has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 4 papers in Artificial Intelligence and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alessandro Fumarola's work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Neural Networks and Reservoir Computing (3 papers). Alessandro Fumarola is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Neural Networks and Reservoir Computing (3 papers). Alessandro Fumarola collaborates with scholars based in Switzerland, South Korea and United States. Alessandro Fumarola's co-authors include Geoffrey W. Burr, Pritish Narayanan, R. M. Shelby, Severin Sidler, Kibong Moon, Yusuf Leblebici, Hyunsang Hwang, Irem Boybat, Abu Sebastian and Masatoshi Ishii and has published in prestigious journals such as IEEE Access, IBM Journal of Research and Development and IEEE Microwave and Wireless Components Letters.

In The Last Decade

Alessandro Fumarola

11 papers receiving 1.1k citations

Hit Papers

Neuromorphic computing using non-volatile memory 2016 2026 2019 2022 2016 250 500 750
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.

  1. Neuromorphic computing using non-volatile memory
    2016 818 citations Geoffrey W. Burr, R. M. Shelby et al. Advances in Physics X profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Fumarola Switzerland 10 1.0k 328 226 164 158 11 1.1k
I‐Ting Wang Taiwan 17 1.2k 1.2× 497 1.5× 160 0.7× 109 0.7× 156 1.0× 44 1.3k
S. G. Hu China 15 779 0.8× 363 1.1× 206 0.9× 219 1.3× 70 0.4× 34 890
Ligang Gao United States 16 1.1k 1.0× 420 1.3× 144 0.6× 133 0.8× 121 0.8× 33 1.1k
Alessandro Bricalli Italy 17 1.3k 1.3× 519 1.6× 178 0.8× 201 1.2× 192 1.2× 32 1.4k
Yaxiong Zhou China 19 1.1k 1.1× 535 1.6× 116 0.5× 110 0.7× 161 1.0× 24 1.2k
S. R. Nandakumar United States 15 1.5k 1.5× 458 1.4× 427 1.9× 225 1.4× 294 1.9× 26 1.6k
Elia Ambrosi Italy 17 1.3k 1.3× 547 1.7× 164 0.7× 209 1.3× 215 1.4× 34 1.4k
Yimao Cai China 20 1.1k 1.1× 359 1.1× 171 0.8× 93 0.6× 154 1.0× 109 1.2k
Junwoo Jang South Korea 16 1.8k 1.7× 666 2.0× 370 1.6× 268 1.6× 149 0.9× 26 1.8k
Riduan Khaddam-Aljameh Switzerland 8 1.5k 1.4× 340 1.0× 343 1.5× 142 0.9× 328 2.1× 16 1.6k

Countries citing papers authored by Alessandro Fumarola

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Fumarola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Fumarola

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

All Works

11 of 11 papers shown
1.
Pandeya, Avanindra K., Alessandro Fumarola, Ilya Kostanovskiy, et al.. (2020). Doping-induced spin Hall ratio enhancement in A15-phase, Ta-doped β-W thin films. Journal of Physics Materials. 3(4). 44001–44001. 6 indexed citations
2.
Ionescu, Adrian M., Matteo Cavalieri, Andrei A. Müller, et al.. (2018). Tunable RF Phase Shifters Based on Vanadium Dioxide Metal Insulator Transition. IEEE Journal of the Electron Devices Society. 6. 965–971. 13 indexed citations
3.
Müller, Andrei A., et al.. (2018). A Reconfigurable Inductor Based on Vanadium Dioxide Insulator-to-Metal Transition. IEEE Microwave and Wireless Components Letters. 28(9). 795–797. 9 indexed citations
4.
Müller, Andrei A., Montserrat Fernández-Bolaños, Alessandro Fumarola, et al.. (2018). Vanadium Oxide Bandstop Tunable Filter for Ka Frequency Bands Based on a Novel Reconfigurable Spiral Shape Defected Ground Plane CPW. IEEE Access. 6. 12206–12212. 35 indexed citations
5.
Fumarola, Alessandro, Severin Sidler, Kibong Moon, et al.. (2017). Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy. IEEE Journal of the Electron Devices Society. 6. 169–178. 22 indexed citations
6.
Narayanan, Pritish, et al.. (2017). Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory. IBM Journal of Research and Development. 61(4/5). 11:1–11:11. 42 indexed citations
7.
Moon, Kibong, Alessandro Fumarola, Severin Sidler, et al.. (2017). Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements. IEEE Journal of the Electron Devices Society. 6. 146–155. 61 indexed citations
8.
Narayanan, Pritish, Alessandro Fumarola, R. M. Shelby, et al.. (2017). Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4. 12 indexed citations
9.
Fumarola, Alessandro, Pritish Narayanan, Severin Sidler, et al.. (2016). Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 22 indexed citations
10.
Sidler, Severin, Irem Boybat, R. M. Shelby, et al.. (2016). Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 440–443. 36 indexed citations
11.
Burr, Geoffrey W., R. M. Shelby, Abu Sebastian, et al.. (2016). Neuromorphic computing using non-volatile memory. Advances in Physics X. 2(1). 89–124. 818 indexed citations breakdown →

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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