Catherine E. Graves
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 26
- Ferroelectric and Negative Capacitance Devices 19
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- Neuroscience and Neural Engineering 10
- Co-authors
- John Paul Strachan (22 shared papers)Can Li (14 shared papers)Noraica Dávila (6 shared papers)Miao Hu (5 shared papers)Ning Ge (5 shared papers)R. Stanley Williams (10 shared papers)Zhiyong Li (5 shared papers)J. Joshua Yang (5 shared papers)
- Journals
- Advanced Materials (4 papers)Applied Physics Letters (3 papers)Advanced Electronic Materials (3 papers)Nano Letters (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Catherine E. Graves
39 papers receiving 3.4k citations
Catherine E. Graves's Hit Papers
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 1.2k
- Electrical and Electronic Engineering 3.1k
- Cognitive Neuroscience 420
- Polymers and Plastics 284
- Artificial Intelligence 632
Countries citing papers authored by Catherine E. Graves
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
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.
All Works
Showing the 20 most-cited of 40 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 → | 2017 | 1039 |
| 2 | Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine Hit paper breakdown → | 2018 | 631 |
| 3 | Dot-product engine for neuromorphic computing Hit paper breakdown → | 2016 | 535 |
| 4 | 2016 | 210 | |
| 5 | 2020 | 133 | |
| 6 | 2015 | 116 | |
| 7 | 2016 | 97 | |
| 8 | 2019 | 92 | |
| 9 | 2020 | 87 | |
| 10 | 2021 | 83 | |
| 11 | 2006 | 60 | |
| 12 | 2022 | 47 | |
| 13 | 2019 | 40 | |
| 14 | 2017 | 40 | |
| 15 | 2015 | 36 | |
| 16 | 2021 | 35 | |
| 17 | 2016 | 25 | |
| 18 | 2022 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2022 | 17 |
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 40 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (19 papers), Neuroscience and Neural Engineering (10 papers), Magnetic properties of thin films (5 papers), Network Packet Processing and Optimization (4 papers), Machine Learning and ELM (4 papers), Neural Networks and Reservoir Computing (3 papers) and Environmental Education and Sustainability (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Electrical and Electronic Engineering (3.1k citations), Cognitive Neuroscience (420 citations), Polymers and Plastics (284 citations) and Artificial Intelligence (632 citations). Catherine E. Graves has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include John Paul Strachan, Can Li, Noraica Dávila, Miao Hu, Ning Ge, R. Stanley Williams, Zhiyong Li, J. Joshua Yang, Eric Montgomery and Hao Jiang. Their work appears in journals such as Advanced Materials, Applied Physics Letters, Advanced Electronic Materials, Nano Letters and Nature Communications.
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.