Peter Deaville

536 citations
12 papers · 366 · 1 hit paper · h-index 6

Impact in

Papers in

Peter Deaville

12 papers receiving 359 citations

Hit Papers

In-Memory Computing: Advances and Prospects 2019 · 269 citations
2690+2+4Years since publication50100150200250

Peers

Peter Deaville
Comparison fields: 5 of 34
  • Hardware and Architecture 46
  • Electrical and Electronic Engineering 334
  • Artificial Intelligence 96
  • Computer Vision and Pattern Recognition 30
  • Cellular and Molecular Neuroscience 25
Replace Yun-Chen Lo with:
Yun-Chen Lo Taiwan
Tai-Hao Wen Taiwan
Leibin Ni China
Qilin Zheng China
Sih-Han Li Taiwan
Wei-Hsing Huang Taiwan
Chin-I Su Taiwan
Chung-Cheng Chou Taiwan
Hui-Yao Kao Taiwan
Ameya D. Patil United States
Peter Deaville relative to Yun-Chen Lo Taiwan Yun-Chen Lo's profile →
Citations per field
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Yun-Chen Lo · 1×
Citations per year

Countries citing papers authored by Peter Deaville

Since Specialization
Citations

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

Fields of papers citing papers by Peter Deaville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Peter Deaville, 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 Peter Deaville Line = papers co-authored together Peter Deaville links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
In-Memory Computing: Advances and Prospects
Hit paper breakdown →
2019269
2 202239
3 202126
4 20247
5 20216
6 20235
7 20244
8 20233
9 20192
10 20192
11 20222
12 20241

About Peter Deaville

Peter Deaville is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering and Infectious Diseases, having authored 12 papers that have together received 366 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Semiconductor materials and devices (6 papers), Advanced Data Storage Technologies (2 papers), Radio Frequency Integrated Circuit Design (2 papers), Low-power high-performance VLSI design (2 papers), Machine Learning and ELM (2 papers) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Hardware and Architecture (46 citations), Electrical and Electronic Engineering (334 citations), Artificial Intelligence (96 citations), Computer Vision and Pattern Recognition (30 citations) and Cellular and Molecular Neuroscience (25 citations). Peter Deaville has collaborated with scholars based in United States, Finland and Egypt. Frequent co-authors include Naveen Verma, Bonan Zhang, Hongyang Jia, Hossein Valavi, Yinqi Tang, Lauri Anttila, Mikko Valkama, Shuvra S. Bhattacharyya, Marilyn Wolf and Pavan Kumar Hanumolu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Magazine, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Proceedings of the 59th ACM/IEEE Design Automation Conference and 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).

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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