Sapan Agarwal

5.2k total citations · 3 hit papers
89 papers, 4.2k citations indexed

About

Sapan Agarwal is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sapan Agarwal has authored 89 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sapan Agarwal's work include Advanced Memory and Neural Computing (54 papers), Semiconductor materials and devices (42 papers) and Ferroelectric and Negative Capacitance Devices (38 papers). Sapan Agarwal is often cited by papers focused on Advanced Memory and Neural Computing (54 papers), Semiconductor materials and devices (42 papers) and Ferroelectric and Negative Capacitance Devices (38 papers). Sapan Agarwal collaborates with scholars based in United States, United Kingdom and Japan. Sapan Agarwal's co-authors include Matthew Marinella, Elliot J. Fuller, A. Alec Talin, Scott T. Keene, Alberto Salleo, Yoeri van de Burgt, Gregório Couto Faria, Conrad D. James, Steven J. Plimpton and Robin Jacobs-Gedrim and has published in prestigious journals such as Science, Advanced Materials and Nature Materials.

In The Last Decade

Sapan Agarwal

78 papers receiving 4.1k 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.

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

2017 1.5k citations Elliot J. Fuller, Scott T. Keene et al. profile →
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

2019 598 citations Elliot J. Fuller, Scott T. Keene et al. Science profile →
Li‐Ion Synaptic Transistor for Low Power Analog Computing

2016 504 citations Elliot J. Fuller, Sapan Agarwal et al. profile →

Peers

Sapan Agarwal

EEE

CMN

Elliot J. Fuller United States

Feichi Zhou China

Matthew Marinella United States

Yoeri van de Burgt Netherlands

Changhwan Choi South Korea

Shilei Dai China

Guangdong Zhou China

Jiewei Chen Hong Kong

Haifeng Ling China

Elliot J. Fuller United States

Sapan Agarwal

3.8k ×1.0

EEE

1.5k ×1.1

CMN

1.3k ×1.2

519 ×0.9

566 ×1.0

Citations per year, relative to Sapan Agarwal Sapan Agarwal (= 1×) peers Elliot J. Fuller

Countries citing papers authored by Sapan Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Sapan Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sapan Agarwal

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

Xiao, T. Patrick, Donald A. Wilson, Christopher H. Bennett, et al.. (2025). In Situ Analog In-Memory Computing Under Ionizing Radiation Exposure. IEEE Transactions on Nuclear Science. 72(4). 1243–1251.

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.

Xiao, T. Patrick, Christopher H. Bennett, A. Alec Talin, et al.. (2024). The Effect of Heavy-Ion Strikes on Charge Trap Memory Arrays With Analog State Programmability. IEEE Transactions on Nuclear Science. 72(4). 1375–1383.

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

Liu, Samuel, Christopher H. Bennett, Sapan Agarwal, et al.. (2023). Parallel Matrix Multiplication Using Voltage-Controlled Magnetic Anisotropy Domain Wall Logic. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 9(1). 65–73. 7 indexed citations

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

Xiao, T. Patrick, Donald A. Wilson, Christopher H. Bennett, et al.. (2023). Total Ionizing Dose Response of 128 Analog States in Computational Charge-Trap Memory. IEEE Transactions on Nuclear Science. 71(4). 446–453. 3 indexed citations

Bennett, Christopher H., et al.. (2023). The Impact of Analog-to-Digital Converter Architecture and Variability on Analog Neural Network Accuracy. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 9(2). 176–184. 3 indexed citations

Bennett, Christopher R., T. Patrick Xiao, Dennis Wilson, et al.. (2023). TID Response of an Analog In-Memory Neural Network Accelerator. 1–6. 1 indexed citations

10.

Xiao, T. Patrick, et al.. (2022). An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Transactions on Circuits and Systems I Regular Papers. 69(4). 1480–1493. 17 indexed citations

11.

Xiao, T. Patrick, Christopher H. Bennett, Sapan Agarwal, et al.. (2021). Ionizing Radiation Effects in SONOS-Based Neuromorphic Inference Accelerators. IEEE Transactions on Nuclear Science. 68(5). 762–769. 7 indexed citations

12.

Xiao, T. Patrick, Christopher H. Bennett, Sapan Agarwal, et al.. (2021). Single-Event Effects Induced by Heavy Ions in SONOS Charge Trapping Memory Arrays. IEEE Transactions on Nuclear Science. 69(3). 406–413. 6 indexed citations

13.

Xiao, T. Patrick, et al.. (2021). Analysis and mitigation of parasitic resistance effects for analog in-memory neural network acceleration. Semiconductor Science and Technology. 36(11). 114004–114004. 7 indexed citations

14.

Xiao, T. Patrick, Christopher H. Bennett, Ben Feinberg, Sapan Agarwal, & Matthew Marinella. (2020). Analog architectures for neural network acceleration based on non-volatile memory. Applied Physics Reviews. 7(3). 137 indexed citations

15.

Li, Yiyang, Elliot J. Fuller, Shiva Asapu, et al.. (2019). Low-Voltage, CMOS-Free Synaptic Memory Based on Li_XTiO₂ Redox Transistors. ACS Applied Materials & Interfaces. 11(42). 38982–38992. 94 indexed citations

16.

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

17.

Xiao, T. Patrick, Matthew Marinella, Christopher H. Bennett, et al.. (2019). Energy and Performance Benchmarking of a Domain Wall-Magnetic Tunnel Junction Multibit Adder. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 5(2). 188–196. 21 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.

Jacobs-Gedrim, Robin, Sapan Agarwal, Ronald S. Goeke, et al.. (2018). Analog high resistance bilayer RRAM device for hardware acceleration of neuromorphic computation. Journal of Applied Physics. 124(20). 14 indexed citations

20.

Jacobs-Gedrim, Robin, David Russell Hughart, Sapan Agarwal, et al.. (2018). Training a Neural Network on Analog TaO_{<italic>x</italic>} ReRAM Devices Irradiated With Heavy Ions: Effects on Classification Accuracy Demonstrated With CrossSim. IEEE Transactions on Nuclear Science. 66(1). 54–60. 11 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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