Patrick Sheridan

3.3k citations
21 papers · 2.9k · 3 hit papers · h-index 14

Impact in

Papers in

Patrick Sheridan

21 papers receiving 2.8k citations

Patrick Sheridan's Hit Papers

Sparse coding with memristor networks 2017 · 528 citations
5280+3+7Years since publication100200300400500

Peers

Patrick Sheridan
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 1.5k
  • Electrical and Electronic Engineering 2.6k
  • Cognitive Neuroscience 687
  • Polymers and Plastics 354
  • Artificial Intelligence 332
Replace Yijun Li with:
Yijun Li China
Lifeng Liu China
Vikas Rana Germany
Wen Ma United States
Peng Yan United States
Adrien F. Vincent France
Nan Du Germany
Bingjie Dang China
Gianluca Milano Italy
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Countries citing papers authored by Patrick Sheridan

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Sheridan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Patrick Sheridan, 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 Patrick Sheridan Line = papers co-authored together Patrick Sheridan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sparse coding with memristor networks
Hit paper breakdown →
2017528
2
Experimental Demonstration of a Second-Order Memristor and Its Ability to Biorealistically Implement Synaptic Plasticity
Hit paper breakdown →
2015511
3
Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics
Hit paper breakdown →
2015394
4 2011362
5 2013262
6 2017162
7 2004139
8 2015119
9 2015116
10 201182
11 201565
12 201438
13 200319
14 200417
15 201311
16 201210
17 20126
18 20154
19 20144
20 20192

About Patrick Sheridan

Patrick Sheridan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pollution and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Neuroscience and Neural Engineering (10 papers), Neural dynamics and brain function (8 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Photoreceptor and optogenetics research (4 papers), CCD and CMOS Imaging Sensors (4 papers), Environmental Toxicology and Ecotoxicology (3 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Electrical and Electronic Engineering (2.6k citations), Cognitive Neuroscience (687 citations), Polymers and Plastics (354 citations) and Artificial Intelligence (332 citations). Patrick Sheridan has collaborated with scholars based in United States and Canada. Frequent co-authors include Wei Lü, Chao Du, Shinhyun Choi, Wen Ma, Ting‐Chang Chang, Siddharth Gaba, Wen Ma, Fuxi Cai, Zhengya Zhang and Sungho Kim. Their work appears in journals such as Nanoscale, Nano Letters, Environmental Toxicology and Chemistry, Applied Physics A and Advanced Functional Materials.

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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