John Cohn

1.1k total citations
18 papers, 489 citations indexed

About

John Cohn is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Cohn has authored 18 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Hardware and Architecture and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Cohn's work include VLSI and FPGA Design Techniques (3 papers), VLSI and Analog Circuit Testing (3 papers) and Advanced Memory and Neural Computing (3 papers). John Cohn is often cited by papers focused on VLSI and FPGA Design Techniques (3 papers), VLSI and Analog Circuit Testing (3 papers) and Advanced Memory and Neural Computing (3 papers). John Cohn collaborates with scholars based in United States, United Kingdom and Czechia. John Cohn's co-authors include Joanne L. Martin, Jing Xiao, Takeo Kanade, Leon Stok, David Z. Pan, Ruchir Puri, David S. Kung, S. Kulkarni, Dennis Sylvester and Ashish Srivastava and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IBM Journal of Research and Development and Pacific Journal of Mathematics.

In The Last Decade

John Cohn

15 papers receiving 411 citations

Peers

John Cohn
Tingyuan Nie China
Barry Drake United States
Michael Scott Ireland
W Brauer Germany
Philip J. Fleming United States
Ramakrishnan Durairajan United States
Sreela Sasi United States
Erwan Le Merrer France
Maurizio Patrignani Italy
Hongyi Chen China
Tingyuan Nie China
John Cohn
Citations per year, relative to John Cohn John Cohn (= 1×) peers Tingyuan Nie

Countries citing papers authored by John Cohn

Since Specialization
Citations

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

Fields of papers citing papers by John Cohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Cohn

This figure shows the co-authorship network connecting the top 25 collaborators of John Cohn. A scholar is included among the top collaborators of John Cohn 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 John Cohn. John Cohn 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.
Cohn, John, et al.. (2025). Efficient Circuit Performance Prediction Using Machine Learning: From Schematic to Layout and Silicon Measurement With Minimal Data Input. IEEE Transactions on Circuits and Systems I Regular Papers. 72(12). 7503–7515.
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Zhang, Xin, et al.. (2025). Digital In-Memory Compute for Machine Learning Applications With Input and Model Security. IEEE Journal of Solid-State Circuits. 60(9). 3390–3402.
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Chen, Chun-Fu Richard, Rameswar Panda, Rogério Feris, et al.. (2021). Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. 6161–6171. 67 indexed citations
7.
Lin, Ji, Weiming Chen, Yujun Lin, et al.. (2020). MCUNet: Tiny Deep Learning on IoT Devices. arXiv (Cornell University). 33. 11711–11722. 8 indexed citations
8.
Ploennigs, Joern, John Cohn, & Andy Stanford-Clark. (2018). The Future of IoT. IEEE Internet of Things Magazine. 1(1). 28–33. 26 indexed citations
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Martin, Joanne L., et al.. (2010). Preface: Technologies for a Smarter Planet. IBM Journal of Research and Development. 54(4). 1–2. 108 indexed citations
11.
Kahng, Andrew B., et al.. (2007). Roundtable: Design and CAD Challenges for Leading-Edge Multimedia Designs. IEEE Design & Test of Computers. 24(1). 83–93. 2 indexed citations
12.
Xiao, Jing, Takeo Kanade, & John Cohn. (2003). Robust full-motion recovery of head by dynamic templates and re-registration techniques. 163–169. 58 indexed citations
13.
Puri, Ruchir, Leon Stok, John Cohn, et al.. (2003). Pushing ASIC performance in a power envelope. 788–793. 106 indexed citations
14.
Kahng, Andrew B., et al.. (2003). Nanometer design. 546–547. 2 indexed citations
15.
Stok, Leon & John Cohn. (2003). There is life left in ASICs. 48–50. 7 indexed citations
16.
Bergamaschi, Reinaldo A. & John Cohn. (2002). The A to Z of SoCs. Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design. 790–798. 23 indexed citations
17.
Cohn, John. (1977). The length of the period of the simple continued fraction ofd1∕2. Pacific Journal of Mathematics. 71(1). 21–32. 27 indexed citations
18.
Cohn, John. (1972). Squares in some recurrent sequences. Pacific Journal of Mathematics. 41(3). 631–646. 52 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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