Catherine E. Graves

5.9k total citations · 3 hit papers
36 papers, 3.3k citations indexed

About

Catherine E. Graves is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Catherine E. Graves has authored 36 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Artificial Intelligence. Recurrent topics in Catherine E. Graves's work include Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (18 papers) and Neuroscience and Neural Engineering (9 papers). Catherine E. Graves is often cited by papers focused on Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (18 papers) and Neuroscience and Neural Engineering (9 papers). Catherine E. Graves collaborates with scholars based in United States, Germany and Hong Kong. Catherine E. Graves's co-authors include John Paul Strachan, R. Stanley Williams, J. Joshua Yang, Noraica Dávila, Can Li, Miao Hu, Ning Ge, Zhiyong Li, Qiangfei Xia and Eric Montgomery and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Catherine E. Graves

35 papers receiving 3.2k 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.

Analogue signal and image processing with large memristor crossbars

2017 986 citations Can Li, Miao Hu et al. Nature Electronics profile →
Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine

2018 601 citations Miao Hu, Catherine E. Graves et al. Advanced Materials profile →
Dot-product engine for neuromorphic computing

2016 522 citations Miao Hu, John Paul Strachan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catherine E. Graves United States	18	3.0k	1.1k	605	399	276	36	3.3k
Noraica Dávila United States	17	2.8k 0.9×	1.1k 1.0×	509 0.8×	426 1.1×	314 1.1×	23	2.9k
Gina C. Adam United States	13	3.1k 1.1×	1.5k 1.3×	526 0.9×	496 1.2×	421 1.5×	46	3.3k
Stefano Ambrogio United States	31	3.8k 1.3×	1.2k 1.1×	692 1.1×	593 1.5×	434 1.6×	82	3.9k
Brian D. Hoskins United States	16	3.4k 1.1×	1.6k 1.5×	538 0.9×	577 1.4×	484 1.8×	41	3.5k
M. Prezioso United States	22	4.3k 1.4×	1.9k 1.7×	721 1.2×	698 1.7×	550 2.0×	43	4.5k
Pritish Narayanan United States	24	4.2k 1.4×	1.0k 1.0×	1.1k 1.8×	482 1.2×	443 1.6×	87	4.6k
Pai-Yu Chen United States	32	4.8k 1.6×	1.5k 1.4×	810 1.3×	412 1.0×	493 1.8×	58	5.0k
Yunning Li United States	14	3.6k 1.2×	1.5k 1.4×	709 1.2×	720 1.8×	322 1.2×	18	3.8k
Wenqiang Zhang China	17	4.3k 1.4×	1.5k 1.4×	1.0k 1.7×	706 1.8×	451 1.6×	41	4.6k
Irem Boybat Switzerland	19	3.9k 1.3×	1.2k 1.1×	1.0k 1.7×	581 1.5×	447 1.6×	41	4.1k

Countries citing papers authored by Catherine E. Graves

Since Specialization

Citations

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

Fields of papers citing papers by Catherine E. Graves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine E. Graves. 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 Catherine E. Graves. The network helps show where Catherine E. Graves may publish in the future.

Co-authorship network of co-authors of Catherine E. Graves

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine E. Graves. A scholar is included among the top collaborators of Catherine E. Graves 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 Catherine E. Graves. Catherine E. Graves 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

Subramanian, Suvinay, et al.. (2025). RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving. 974–989. 2 indexed citations

Pedretti, Giacomo, Fabian Böhm, Arne Heittmann, et al.. (2025). Solving Boolean satisfiability problems with resistive content addressable memories. 2(1). 1 indexed citations

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

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

Kazemi, Arman, Ann Franchesca Laguna, Rui Lin, et al.. (2022). Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search. Nature Communications. 13(1). 6284–6284. 43 indexed citations

Pedretti, Giacomo, Catherine E. Graves, Can Li, et al.. (2021). Tree-based machine learning performed in-memory with memristive analog CAM. arXiv (Cornell University). 78 indexed citations

Graves, Catherine E., et al.. (2020). In‐Memory Computing with Memristor Content Addressable Memories for Pattern Matching. Advanced Materials. 32(37). e2003437–e2003437. 82 indexed citations

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

Graves, Catherine E., Sity Lam, Xuema Li, et al.. (2019). Memristor TCAMs Accelerate Regular Expression Matching for Network Intrusion Detection. IEEE Transactions on Nanotechnology. 18. 963–970. 38 indexed citations

10.

Sheng, Xia, Catherine E. Graves, Suhas Kumar, et al.. (2019). Low‐Conductance and Multilevel CMOS‐Integrated Nanoscale Oxide Memristors. Advanced Electronic Materials. 5(9). 86 indexed citations

11.

Hu, Miao, Catherine E. Graves, Can Li, et al.. (2018). Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine. Advanced Materials. 30(9). 601 indexed citations breakdown →

12.

Graves, Catherine E., Wen Ma, Xia Sheng, et al.. (2018). Regular Expression Matching with Memristor TCAMs for Network Security. 65–71. 7 indexed citations

13.

Graves, Catherine E., et al.. (2017). Temperature and field-dependent transport measurements in continuously tunable tantalum oxide memristors expose the dominant state variable. Applied Physics Letters. 110(12). 36 indexed citations

14.

Chalamalasetti, Sai Rahul, Chris Dalton, Izzat El Hajj, et al.. (2017). Generalize or Die: Operating Systems Support for Memristor-Based Accelerators. 1–8. 9 indexed citations

15.

Li, Can, Miao Hu, Yunning Li, et al.. (2017). Analogue signal and image processing with large memristor crossbars. Nature Electronics. 1(1). 52–59. 986 indexed citations breakdown →

16.

Wu, Baoliin, T. Wang, Catherine E. Graves, et al.. (2016). Elimination of X-Ray Diffraction through Stimulated X-Ray Transmission. Physical Review Letters. 117(2). 27401–27401. 20 indexed citations

17.

Kumar, Suhas, Catherine E. Graves, John Paul Strachan, et al.. (2016). Direct Observation of Localized Radial Oxygen Migration in Functioning Tantalum Oxide Memristors. Advanced Materials. 28(14). 2772–2776. 92 indexed citations

18.

Kim, Kyung Min, Jiaming Zhang, Catherine E. Graves, et al.. (2016). Low-Power, Self-Rectifying, and Forming-Free Memristor with an Asymmetric Programing Voltage for a High-Density Crossbar Application. Nano Letters. 16(11). 6724–6732. 203 indexed citations

19.

Graves, Catherine E., Ryan McAllister, William J. Rosoff, & Jeffrey S. Urbach. (2009). Optical neuronal guidance in three-dimensional matrices. Journal of Neuroscience Methods. 179(2). 278–283. 15 indexed citations

20.

Sisan, Daniel R., et al.. (2006). Spatially Resolved Fluorescence Correlation Spectroscopy Using a Spinning Disk Confocal Microscope. Biophysical Journal. 91(11). 4241–4252. 52 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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