Catherine E. Graves

5.9k citations
36 papers · 3.3k · 3 hit papers · h-index 18

Impact in

Papers in

Catherine E. Graves

35 papers receiving 3.2k citations

Catherine E. Graves's Hit Papers

Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine 2018 · 601 citations
6010+3+6Years since publication250500750

Peers

Catherine E. Graves
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 1.1k
  • Electrical and Electronic Engineering 3.0k
  • Cognitive Neuroscience 399
  • Polymers and Plastics 276
  • Artificial Intelligence 605
Replace Tomáš Tůma with:
Tomáš Tůma Switzerland
M. Prezioso United States
Rathinakumar Appuswamy United States
Eric Montgomery United States
Xuema Li United States
Carmelo di Nolfo United States
Suhas Kumar United States
Alessandro S. Spinelli Italy
Damien Querlioz France
Ivan Vo United States
Catherine E. Graves relative to Tomáš Tůma Switzerland Tomáš Tůma's profile →
Citations per field
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Tomáš Tůma · 1×
Citations per year

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-authors

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

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analogue signal and image processing with large memristor crossbars
Hit paper breakdown →
2017986
2
Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine
Hit paper breakdown →
2018601
3
Dot-product engine for neuromorphic computing
Hit paper breakdown →
2016522
4 2016203
5 2020124
6 2015113
7 201692
8 201986
9 202082
10 202178
11 200652
12 202243
13 201938
14 201736
15 201536
16 201620
17 201819
18 202219
19 201416
20 200915

About Catherine E. Graves

Catherine E. Graves is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture, 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), Caching and Content Delivery (2 papers) and Magneto-Optical Properties and Applications (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), Cognitive Neuroscience (399 citations), Polymers and Plastics (276 citations) and Artificial Intelligence (605 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, Ning Ge, Miao Hu, Zhiyong Li, Qiangfei Xia and Yunning Li. 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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