Catherine E. Graves

5.9k citations

36 papers · 3.3k indexed · 3 hit papers · h-index 18

Cellular and Molecular Neuroscience top 2%
- Neuroscience and Neural Engineering 9
Electrical and Electronic Engineering top 1%
- Advanced Memory and Neural Computing 24
- Ferroelectric and Negative Capacitance Devices 18
Cognitive Neuroscience top 5%
Polymers and Plastics top 5%
Artificial Intelligence top 2%
- Machine Learning and ELM 4
- Neural Networks and Reservoir Computing 2
Atomic and Molecular Physics, and Optics
- Magnetic properties of thin films 5
Hardware and Architecture
- Network Packet Processing and Optimization 4
Computer Networks and Communications
- Caching and Content Delivery 2

Co-authors: John Paul Strachan R. Stanley Williams J. Joshua Yang Noraica Dávila Can Li Miao Hu Ning Ge Zhiyong Li
Cited by: Cellular and Molecular Neuroscience Electrical and Electronic Engineering Cognitive Neuroscience
Journals: Advanced Materials (4 papers)Applied Physics Letters (3 papers)Advanced Electronic Materials (3 papers)
Partner nations: United States Germany Hong Kong

In The Last Decade

Catherine E. Graves

35 papers receiving 3.2k citations

Hit Papers

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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.

2018 Advanced Materials
2017 Nature Electronics
2016 Dot-product engine for neuromorphic computing

Peers

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

The 25 scholars most cited alongside Catherine E. Graves, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Catherine E. Graves Line = papers co-authored together Catherine E. Graves links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving Qiaobo Zhang,Suvinay Subramanian,Catherine E. Graves,Gustavo Alonso,Amir Yazdanbakhsh,Vidushi Dadu	2025	2
2	Solving Boolean satisfiability problems with resistive content addressable memories Giacomo Pedretti,Fabian Böhm,هبه أحمد عوض,Arne Heittmann,ROSLIZA ROSLI,V. Bucchetti,George Hutchinson,Dongseok Kwon,J. W. Moon,E. Valiante,Jeremias Gollnau,Catherine E. Graves,Jim Ignowski,Masoud Mohseni,John Paul Strachan,Dmitri B. Strukov,Ray Beausoleil,Thomas Van Vaerenbergh	2025	1
3	CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM Robert A. Freeborn,Giacomo Pedretti,顾馨梅,Sergey Serebryakov,Omar Eldash,Shima SORORI,Catherine E. Graves,Paolo Faraboschi,Jim Ignowski	2024	0
4	X-TIME: Accelerating Large Tree Ensembles Inference for Tabular Data With Analog CAMs IEEE Journal on Exploratory Solid-State Computational Devices and Circuits ·Giacomo Pedretti,Robert A. Freeborn,顾馨梅,Sergey Serebryakov,Ron M. Roth,Shima SORORI,Emanuelle Maria Pagliarini,Lei Zhao,Chung-Yin Stanley Chan,Cong Xu,Martin Foltín,Paolo Faraboschi,Jim Ignowski,Catherine E. Graves	2024	2
5	Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search Nature Communications ·孙继兵,Yali Mu,Arman Kazemi,Casasola Pardo,Ann Franchesca Laguna,Rui Lin,Ngai Wong,Michael Niemier,Xiaobo Sharon Hu,Xia Sheng,Catherine E. Graves,John Paul Strachan,Can Li	2022	43
6	Tree-based machine learning performed in-memory with memristive analog CAM arXiv (Cornell University) ·Giacomo Pedretti,Catherine E. Graves,Can Li,Sergey Serebryakov,Xia Sheng,Martin Foltín,孙继兵,John Paul Strachan	2021	78
7	Analog content-addressable memories with memristors Nature Communications ·Can Li,Catherine E. Graves,Xia Sheng,J. Rodriguez-Tellez,Martin Foltín,Giacomo Pedretti,John Paul Strachan	2020	124
8	In‐Memory Computing with Memristor Content Addressable Memories for Pattern Matching Advanced Materials ·Catherine E. Graves,Can Li,Xia Sheng,J. Rodriguez-Tellez,Jim Ignowski,Jang Sung Jin,John Paul Strachan	2020	82
9	Memristor TCAMs Accelerate Regular Expression Matching for Network Intrusion Detection IEEE Transactions on Nanotechnology ·Catherine E. Graves,Sity Lam,Xuema Li,Jang Sung Jin,Martin Foltín,Matthew P. Hardy,John Paul Strachan,Can Li,Xia Sheng,Wen Ma,Sai Rahul Chalamalasetti,J. Rodriguez-Tellez,Jim Ignowski,杨杉,R. Frazier	2019	38
10	Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Enginebreakdown → Advanced Materials ·Miao Hu,Catherine E. Graves,Can Li,Yunning Li,Ning Ge,Eric Montgomery,Noraica Dávila,Hao Jiang,R. Stanley Williams,J. Joshua Yang,Qiangfei Xia,John Paul Strachan	2018	601
11	Regular Expression Matching with Memristor TCAMs for Network Security Catherine E. Graves,Wen Ma,Xia Sheng,杨杉,R. Frazier,Sity Lam,Xuema Li,Sai Rahul Chalamalasetti,Jang Sung Jin,Martin Foltín,John Paul Strachan,Matthew P. Hardy	2018	7
12	Temperature and field-dependent transport measurements in continuously tunable tantalum oxide memristors expose the dominant state variable Applied Physics Letters ·Catherine E. Graves,Noraica Dávila,T. MINOWA,Sity Lam,John Paul Strachan,R. Stanley Williams	2017	36
13	Generalize or Die: Operating Systems Support for Memristor-Based Accelerators 顾馨梅,Sai Rahul Chalamalasetti,Chris Dalton,Izzat El Hajj,Alfredo Goldman,Catherine E. Graves,Wen‐mei Hwu,Phil Laplante,Dejan Milojičić,Geoffrey Ndu,John Paul Strachan	2017	9
14	Analogue signal and image processing with large memristor crossbarsbreakdown → Nature Electronics ·Can Li,Miao Hu,Yunning Li,Hao Jiang,Ning Ge,Eric Montgomery,Jiaming Zhang,Wenhao Song,Noraica Dávila,Catherine E. Graves,Zhiyong Li,John Paul Strachan,Peng Lin,Zhongrui Wang,Mark Barnell,Qing Wu,R. Stanley Williams,J. Joshua Yang,Qiangfei Xia	2017	986
15	Elimination of X-Ray Diffraction through Stimulated X-Ray Transmission Physical Review Letters ·Baoliin Wu,T. Wang,Catherine E. Graves,Diling Zhu,W. F. Schlotter,Joshua J. Turner,Olav Hellwig,Zhebo Chen,H. A. Dürr,Andreas Scherz,J. Stöhr	2016	20
16	Low-Power, Self-Rectifying, and Forming-Free Memristor with an Asymmetric Programing Voltage for a High-Density Crossbar Application Nano Letters ·Kyung Min Kim,Jiaming Zhang,Catherine E. Graves,J. Joshua Yang,Byung Joon Choi,Cheol Seong Hwang,Zhiyong Li,R. Stanley Williams	2016	203
17	Direct Observation of Localized Radial Oxygen Migration in Functioning Tantalum Oxide Memristors Advanced Materials ·Suhas Kumar,Catherine E. Graves,John Paul Strachan,Bibiano Martin Cerna Maguina,A. L. D. Kilcoyne,Tolek Tyliszczak,Johanna Nelson Weker,Yoshio Nishi,R. Stanley Williams	2016	92
18	Dot-product engine for neuromorphic computingbreakdown → Miao Hu,John Paul Strachan,Zhiyong Li,Bibiano Martin Cerna Maguina,Noraica Dávila,Catherine E. Graves,Sity Lam,Ning Ge,J. Joshua Yang,R. Stanley Williams	2016	522
19	Optical neuronal guidance in three-dimensional matrices Journal of Neuroscience Methods ·Catherine E. Graves,Ryan McAllister,William J. Rosoff,Jeffrey S. Urbach	2009	15
20	Spatially Resolved Fluorescence Correlation Spectroscopy Using a Spinning Disk Confocal Microscope Biophysical Journal ·Daniel R. Sisan,一正小松原,Catherine E. Graves,Ryan McAllister,Jeffrey S. Urbach	2006	52

About Catherine E. Graves

Catherine E. Graves is a scholar working on Structural Biology, Hardware and Architecture and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (18 papers), Neuroscience and Neural Engineering (9 papers), Magnetic properties of thin films (5 papers), Machine Learning and ELM (4 papers), Network Packet Processing and Optimization (4 papers), Neural Networks and Reservoir Computing (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Electrical and Electronic Engineering (3.0k citations) and Cognitive Neuroscience (399 citations). Catherine E. Graves has collaborated with scholars based in United States, Germany and Hong Kong. Frequent 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 Hao Jiang. Their work appears in journals such as Advanced Materials, Applied Physics Letters, Advanced Electronic Materials, Nature Communications and Nano Letters.

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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