Elliot J. Fuller

4.9k total citations · 4 hit papers
56 papers, 4.1k citations indexed

About

Elliot J. Fuller is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Elliot J. Fuller has authored 56 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 11 papers in Polymers and Plastics and 11 papers in Materials Chemistry. Recurrent topics in Elliot J. Fuller's work include Advanced Memory and Neural Computing (28 papers), Semiconductor materials and devices (10 papers) and Advancements in Battery Materials (9 papers). Elliot J. Fuller is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Semiconductor materials and devices (10 papers) and Advancements in Battery Materials (9 papers). Elliot J. Fuller collaborates with scholars based in United States, Spain and Italy. Elliot J. Fuller's co-authors include A. Alec Talin, Sapan Agarwal, Matthew Marinella, Alberto Salleo, Scott T. Keene, Yoeri van de Burgt, Gregório Couto Faria, Conrad D. James, Yiyang Li and Armantas Melianas and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Elliot J. Fuller

47 papers receiving 4.0k citations

Hit Papers

A non-volatile organic electrochemical device as a low-vo... 2016 2026 2019 2022 2017 2019 2016 2018 400 800 1.2k

Peers

Elliot J. Fuller
Matthew Marinella United States
Sapan Agarwal United States
Changhwan Choi South Korea
Yoeri van de Burgt Netherlands
Ping Feng China
Jiewei Chen Hong Kong
Gunuk Wang South Korea
Matthew Marinella United States
Elliot J. Fuller
Citations per year, relative to Elliot J. Fuller Elliot J. Fuller (= 1×) peers Matthew Marinella

Countries citing papers authored by Elliot J. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Elliot J. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elliot J. Fuller. 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 Elliot J. Fuller. The network helps show where Elliot J. Fuller may publish in the future.

Co-authorship network of co-authors of Elliot J. Fuller

This figure shows the co-authorship network connecting the top 25 collaborators of Elliot J. Fuller. A scholar is included among the top collaborators of Elliot J. Fuller 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 Elliot J. Fuller. Elliot J. Fuller 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.
Iyer, Prasad P., Gaurang R. Bhatt, Saaketh Desai, et al.. (2025). Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing. Advanced Intelligent Systems. 8(1).
2.
González, Martín, Catalin D. Spataru, Joshua D. Sugar, et al.. (2025). Dynamic Doping of Nickelates with Lithium Reveals a Widely Tunable Insulator–Metal Transition with Charge Filling and Band Renormalization Regimes. ACS Nano. 19(31). 28422–28431.
3.
Léonard, François, Elliot J. Fuller, Corinne Teeter, & Craig M. Vineyard. (2024). Role of depth in optical diffractive neural networks. Optics Express. 32(13). 23125–23125. 1 indexed citations
4.
Oh, Sangheon, T. Patrick Xiao, Christopher R. Bennett, et al.. (2024). Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. 1–2.
5.
Brown, Timothy D., Elliot J. Fuller, A. Alec Talin, et al.. (2024). Axon-like active signal transmission. Nature. 633(8031). 804–810. 10 indexed citations
6.
Perez, Christopher, Scott R. Ellis, Eric J. Smoll, et al.. (2024). Picosecond carrier dynamics in InAs and GaAs revealed by ultrafast electron microscopy. Science Advances. 10(20). eadn8980–eadn8980. 11 indexed citations
7.
Woo, Kyung Seok, Timothy D. Brown, Minseong Park, et al.. (2024). True random number generation using the spin crossover in LaCoO3. Nature Communications. 15(1). 4656–4656. 20 indexed citations
8.
Marinella, Matthew, Christopher H. Bennett, György Vizkelethy, et al.. (2024). Heavy-Ion-Induced Displacement Damage Effects on WO x ECRAM. IEEE Transactions on Nuclear Science. 71(4). 579–584. 3 indexed citations
9.
Oh, Sangheon, T. Patrick Xiao, Christopher H. Bennett, et al.. (2023). Bayesian Neural Network Implemented by Dynamically Programmable Noise in Vanadium Oxide. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
10.
Segovia, P., M.A. González, Matteo Jugovac, et al.. (2023). Physical Delithiation of Epitaxial LiCoO2 Battery Cathodes as a Platform for Surface Electronic Structure Investigation. ACS Applied Materials & Interfaces. 15(30). 36224–36232. 1 indexed citations
11.
Li, Jingxian, Kai Sun, Joshua D. Sugar, et al.. (2022). Nonvolatile Electrochemical Random‐Access Memory under Short Circuit. Advanced Electronic Materials. 9(1). 16 indexed citations
12.
Talin, A. Alec, Yiyang Li, D. Robinson, Elliot J. Fuller, & Suhas Kumar. (2022). ECRAM Materials, Devices, Circuits and Architectures: A Perspective. Advanced Materials. 35(37). e2204771–e2204771. 55 indexed citations
13.
Fuller, Elliot J., David S. Ashby, C. Polop, et al.. (2022). Imaging Phase Segregation in Nanoscale LixCoO2 Single Particles. ACS Nano. 16(10). 16363–16371. 13 indexed citations
14.
Merrill, Laura C., Bryan R. Wygant, David S. Ashby, et al.. (2022). Room-Temperature Pseudo-Solid-State Iron Fluoride Conversion Battery with High Ionic Conductivity. ACS Applied Materials & Interfaces. 15(1). 893–902. 3 indexed citations
15.
Ellis, Scott R., N. C. Bartelt, François Léonard, et al.. (2021). Scanning ultrafast electron microscopy reveals photovoltage dynamics at a deeply buried pSi/SiO2 interface. Physical review. B.. 104(16). 12 indexed citations
16.
Li, Yiyang, Elliot J. Fuller, Shiva Asapu, et al.. (2019). Low-Voltage, CMOS-Free Synaptic Memory Based on LiXTiO2 Redox Transistors. ACS Applied Materials & Interfaces. 11(42). 38982–38992. 94 indexed citations
17.
Agarwal, Sapan, John Niroula, Robin Jacobs-Gedrim, et al.. (2019). Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 5(1). 52–57. 32 indexed citations
18.
Fuller, Elliot J., Scott T. Keene, Armantas Melianas, et al.. (2019). Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing. Science. 364(6440). 570–574. 598 indexed citations breakdown →
19.
Keene, Scott T., Armantas Melianas, Elliot J. Fuller, et al.. (2018). Optimized pulsed write schemes improve linearity and write speed for low-power organic neuromorphic devices. Journal of Physics D Applied Physics. 51(22). 224002–224002. 58 indexed citations
20.
Stewart, David M., Alexander J Pearse, Nam Soo Kim, et al.. (2018). Tin Oxynitride Anodes by Atomic Layer Deposition for Solid-State Batteries. Chemistry of Materials. 30(8). 2526–2534. 17 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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