Patrick Sheridan

3.3k total citations · 3 hit papers
18 papers, 2.7k citations indexed

About

Patrick Sheridan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Patrick Sheridan has authored 18 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Patrick Sheridan's work include Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Neural Engineering (8 papers). Patrick Sheridan is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Neural Engineering (8 papers). Patrick Sheridan collaborates with scholars based in United States and Canada. Patrick Sheridan's co-authors include Wei Lü, Chao Du, Shinhyun Choi, Wen Ma, Sungho Kim, Ting‐Chang Chang, Siddharth Gaba, Wen Ma, Fuxi Cai and Zhengya Zhang and has published in prestigious journals such as Nano Letters, Nature Nanotechnology and Advanced Functional Materials.

In The Last Decade

Patrick Sheridan

18 papers receiving 2.6k citations

Hit Papers

Sparse coding with memristor networks 2015 2026 2018 2022 2017 2015 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Sheridan United States 14 2.5k 1.4k 662 341 313 18 2.7k
Yijun Li China 17 1.1k 0.4× 374 0.3× 207 0.3× 198 0.6× 311 1.0× 39 1.6k
Vikas Rana Germany 18 1.6k 0.7× 694 0.5× 139 0.2× 291 0.9× 51 0.2× 62 1.8k
Nan Du Germany 17 686 0.3× 295 0.2× 95 0.1× 191 0.6× 33 0.1× 79 962
Wen Ma United States 12 1.7k 0.7× 755 0.5× 529 0.8× 235 0.7× 597 1.9× 15 2.0k
Ziwen Wang China 13 772 0.3× 265 0.2× 192 0.3× 162 0.5× 87 0.3× 42 965
Andrea Adami Italy 17 456 0.2× 76 0.1× 271 0.4× 107 0.3× 14 0.0× 71 1.2k
Ali Khiat United Kingdom 22 1.9k 0.8× 1.0k 0.7× 441 0.7× 303 0.9× 151 0.5× 51 2.0k
Ya‐Nan Zhong China 17 1.5k 0.6× 361 0.3× 386 0.6× 219 0.6× 695 2.2× 54 1.7k
Navnidhi K. Upadhyay United States 12 1.5k 0.6× 610 0.4× 347 0.5× 221 0.6× 364 1.2× 14 1.6k

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-authorship network of co-authors of Patrick Sheridan

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Sheridan. A scholar is included among the top collaborators of Patrick Sheridan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick Sheridan. Patrick Sheridan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Sheridan, Patrick, Fuxi Cai, Chao Du, et al.. (2017). Sparse coding with memristor networks. Nature Nanotechnology. 12(8). 784–789. 506 indexed citations breakdown →
2.
Choi, Shinhyun, Jong Hoon Shin, Jihang Lee, Patrick Sheridan, & Wei Lü. (2017). Experimental Demonstration of Feature Extraction and Dimensionality Reduction Using Memristor Networks. Nano Letters. 17(5). 3113–3118. 155 indexed citations
3.
Choi, Shinhyun, Patrick Sheridan, & Wei Lü. (2015). Data Clustering using Memristor Networks. Scientific Reports. 5(1). 10492–10492. 113 indexed citations
4.
Sheridan, Patrick & Wei Lü. (2015). Defect consideratons for robust sparse coding using memristor arrays. 137–138. 4 indexed citations
5.
Sheridan, Patrick, Chao Du, & Wei Lü. (2015). Feature Extraction Using Memristor Networks. IEEE Transactions on Neural Networks and Learning Systems. 27(11). 2327–2336. 60 indexed citations
6.
Du, Chao, Wen Ma, Ting‐Chang Chang, Patrick Sheridan, & Wei Lü. (2015). Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics. Advanced Functional Materials. 25(27). 4290–4299. 381 indexed citations breakdown →
7.
Kim, Sungho, Chao Du, Patrick Sheridan, et al.. (2015). Experimental Demonstration of a Second-Order Memristor and Its Ability to Biorealistically Implement Synaptic Plasticity. Nano Letters. 15(3). 2203–2211. 493 indexed citations breakdown →
8.
Chen, Bing, Fuxi Cai, Jiantao Zhou, et al.. (2015). Efficient in-memory computing architecture based on crossbar arrays. 17.5.1–17.5.4. 108 indexed citations
9.
Gaba, Siddharth, Patrick Sheridan, Chao Du, & Wei Lü. (2014). 3-D Vertical Dual-Layer Oxide Memristive Devices. IEEE Transactions on Electron Devices. 61(7). 2581–2583. 4 indexed citations
10.
Sheridan, Patrick, Wen Ma, & Wei Lü. (2014). Pattern recognition with memristor networks. 1078–1081. 37 indexed citations
11.
Gaba, Siddharth, Patrick Sheridan, Jiantao Zhou, Shinhyun Choi, & Wei Lü. (2013). Stochastic memristive devices for computing and neuromorphic applications. Nanoscale. 5(13). 5872–5872. 243 indexed citations
12.
Gaba, Siddharth, Shinhyun Choi, Patrick Sheridan, et al.. (2012). Improvement of RRAM Device Performance Through On-Chip Resistors. MRS Proceedings. 1430. 2 indexed citations
13.
Chang, Ting‐Chang, Patrick Sheridan, & Wei Lü. (2012). Modeling and implementation of oxide memristors for neuromorphic applications. 1–3. 7 indexed citations
14.
Sheridan, Patrick, Sungho Kim, Siddharth Gaba, et al.. (2011). Device and SPICE modeling of RRAM devices. Nanoscale. 3(9). 3833–3833. 76 indexed citations
15.
Chang, Ting‐Chang, Sung‐Hyun Jo, Sungho Kim, et al.. (2011). Synaptic behaviors and modeling of a metal oxide memristive device. Applied Physics A. 102(4). 857–863. 339 indexed citations
16.
Edginton, Andrea N., Patrick Sheridan, Herman J. Boermans, et al.. (2004). A Comparison of Two Factorial Designs, a Complete 3×3 Factorial and a Central Composite Rotatable Design, for Use in Binomial Response Experiments in Aquatic Toxicology. Archives of Environmental Contamination and Toxicology. 46(2). 216–223. 17 indexed citations
17.
Edginton, Andrea N., Patrick Sheridan, Gerald R. Stephenson, Dean G. Thompson, & Herman J. Boermans. (2004). Comparative effects of pH and Vision® herbicide on two life stages of four anuran amphibian species. Environmental Toxicology and Chemistry. 23(4). 815–822. 132 indexed citations
18.
Edginton, Andrea N., Gerald R. Stephenson, Patrick Sheridan, Dean G. Thompson, & Herman J. Boermans. (2003). Effect of pH and release® on two life stages of four anuran amphibians. Environmental Toxicology and Chemistry. 22(11). 2673–2678. 17 indexed citations

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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