Cory Merkel

842 total citations
47 papers, 439 citations indexed

About

Cory Merkel is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Cory Merkel has authored 47 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 27 papers in Artificial Intelligence and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Cory Merkel's work include Advanced Memory and Neural Computing (40 papers), Ferroelectric and Negative Capacitance Devices (16 papers) and Neural Networks and Reservoir Computing (15 papers). Cory Merkel is often cited by papers focused on Advanced Memory and Neural Computing (40 papers), Ferroelectric and Negative Capacitance Devices (16 papers) and Neural Networks and Reservoir Computing (15 papers). Cory Merkel collaborates with scholars based in United States, India and Kazakhstan. Cory Merkel's co-authors include Dhireesha Kudithipudi, Bryant Wysocki, Garrett S. Rose, Robinson E. Pino, Jun Ma, Mark J. Zoran, Wei Li, Ruochen Liu, Jingjing Qiu and Shiren Wang and has published in prestigious journals such as Computer, Neurocomputing and IEEE Transactions on Computers.

In The Last Decade

Cory Merkel

44 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cory Merkel United States 12 366 202 123 108 31 47 439
Thomas Dalgaty France 13 400 1.1× 142 0.7× 131 1.1× 125 1.2× 32 1.0× 26 468
S. Bianchi Italy 11 353 1.0× 106 0.5× 122 1.0× 137 1.3× 15 0.5× 21 396
Jaehyun Kim South Korea 8 309 0.8× 100 0.5× 106 0.9× 88 0.8× 43 1.4× 15 367
Olga Krestinskaya Kazakhstan 12 615 1.7× 192 1.0× 182 1.5× 207 1.9× 29 0.9× 41 719
Morteza Hosseini United States 10 446 1.2× 223 1.1× 170 1.4× 144 1.3× 31 1.0× 19 607
Arnab Neelim Mazumder United States 8 441 1.2× 207 1.0× 127 1.0× 132 1.2× 33 1.1× 19 578
Guanrui Wang China 9 446 1.2× 153 0.8× 131 1.1× 135 1.3× 22 0.7× 17 554
Dabin Wu China 4 578 1.6× 137 0.7× 73 0.6× 163 1.5× 16 0.5× 7 636
Hakaru Tamukoh Japan 10 360 1.0× 303 1.5× 134 1.1× 49 0.5× 29 0.9× 109 553
Bo Marr United States 6 438 1.2× 158 0.8× 92 0.7× 90 0.8× 54 1.7× 11 490

Countries citing papers authored by Cory Merkel

Since Specialization
Citations

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

Fields of papers citing papers by Cory Merkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cory Merkel

This figure shows the co-authorship network connecting the top 25 collaborators of Cory Merkel. A scholar is included among the top collaborators of Cory Merkel 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 Cory Merkel. Cory Merkel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Merkel, Cory, et al.. (2025). Enabling Long Chain Lengths and High-Throughput for Time-Domain Neuromorphic Computing. IEEE Transactions on Circuits & Systems II Express Briefs. 72(8). 983–987.
2.
Yakopcic, Chris, et al.. (2024). Memristor Based Liquid State Machine With Method for In-Situ Training. IEEE Transactions on Nanotechnology. 23. 376–385. 3 indexed citations
3.
Sutton, C. A., et al.. (2024). Realizing linear synaptic plasticity in electric double layer-gated transistors for improved predictive accuracy and efficiency in neuromorphic computing. Journal of Physics Materials. 8(1). 15008–15008. 2 indexed citations
4.
Merkel, Cory, et al.. (2024). Throughput Optimization for Time-Domain Neuromorphic Computing. 136–140.
5.
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7.
Liu, Dongfang, et al.. (2023). Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators. 351–356. 1 indexed citations
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10.
Herbert, Andrew M., et al.. (2021). Exploring CNN features in the context of adversarial robustness and human perception. 37. 42–42. 1 indexed citations
11.
Fountain, Andrew G. & Cory Merkel. (2020). Energy Constraints Improve Liquid State Machine Performance. 1–8. 2 indexed citations
12.
Merkel, Cory, Dhireesha Kudithipudi, Manan Suri, & Bryant Wysocki. (2017). Stochastic CBRAM-Based Neuromorphic Time Series Prediction System. ACM Journal on Emerging Technologies in Computing Systems. 13(3). 1–14. 4 indexed citations
13.
Kudithipudi, Dhireesha, et al.. (2016). Design and Analysis of a Neuromemristive Reservoir Computing Architecture for Biosignal Processing. Frontiers in Neuroscience. 9. 502–502. 74 indexed citations
14.
Merkel, Cory, Raqibul Hasan, Nicholas Soures, et al.. (2016). Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer. 49(10). 56–64. 25 indexed citations
15.
16.
Merkel, Cory, et al.. (2015). Design and analysis of neuromemristive echo state networks with limited-precision synapses. 2. 1–6. 6 indexed citations
17.
Merkel, Cory & Dhireesha Kudithipudi. (2014). A stochastic learning algorithm for neuromemristive systems. 359–364. 8 indexed citations
18.
Merkel, Cory, et al.. (2014). Memristive Reservoir Computing Architecture for Epileptic Seizure Detection. Procedia Computer Science. 41. 249–254. 29 indexed citations
19.
Merkel, Cory & Dhireesha Kudithipudi. (2014). Neuromemristive Extreme Learning Machines for Pattern Classification. 77–82. 9 indexed citations
20.
Merkel, Cory & Dhireesha Kudithipudi. (2012). Towards Thermal Profiling in CMOS/Memristor Hybrid RRAM Architectures. 167–172. 11 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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