John Reuben

586 total citations
32 papers, 371 citations indexed

About

John Reuben is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Hardware and Architecture. According to data from OpenAlex, John Reuben has authored 32 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Hardware and Architecture. Recurrent topics in John Reuben's work include Advanced Memory and Neural Computing (20 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Semiconductor materials and devices (12 papers). John Reuben is often cited by papers focused on Advanced Memory and Neural Computing (20 papers), Ferroelectric and Negative Capacitance Devices (19 papers) and Semiconductor materials and devices (12 papers). John Reuben collaborates with scholars based in Germany, India and Israel. John Reuben's co-authors include Dietmar Fey, Christian Wenger, Vikramkumar Pudi, Shahar Kvatinsky, Rotem Ben-Hur, Nishil Talati, Pierre‐Emmanuel Gaillardon, Nimrod Wald, Harish M. Kittur and Eduardo Pérez and has published in prestigious journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Electronics.

In The Last Decade

John Reuben

30 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Reuben Germany 10 350 102 50 31 30 32 371
Pravin Mane India 6 393 1.1× 129 1.3× 90 1.8× 35 1.1× 34 1.1× 18 430
Hassen Aziza France 12 494 1.4× 99 1.0× 56 1.1× 31 1.0× 35 1.2× 45 521
Mathieu Moreau France 11 330 0.9× 66 0.6× 35 0.7× 12 0.4× 27 0.9× 34 345
Hoang Anh Du Nguyen Netherlands 14 544 1.6× 241 2.4× 76 1.5× 32 1.0× 40 1.3× 23 572
Liang Yan China 5 214 0.6× 50 0.5× 50 1.0× 42 1.4× 43 1.4× 13 271
Yun-Chen Lo Taiwan 7 311 0.9× 47 0.5× 37 0.7× 19 0.6× 78 2.6× 18 356
Chin-I Su Taiwan 8 437 1.2× 83 0.8× 44 0.9× 33 1.1× 73 2.4× 10 476
Binh Le United States 9 256 0.7× 31 0.3× 29 0.6× 26 0.8× 31 1.0× 26 312
Miguel Ángel Lastras-Montaño United States 10 349 1.0× 138 1.4× 29 0.6× 16 0.5× 34 1.1× 24 363
Hui-Yao Kao Taiwan 7 515 1.5× 83 0.8× 52 1.0× 30 1.0× 88 2.9× 7 552

Countries citing papers authored by John Reuben

Since Specialization
Citations

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

Fields of papers citing papers by John Reuben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Reuben

This figure shows the co-authorship network connecting the top 25 collaborators of John Reuben. A scholar is included among the top collaborators of John Reuben 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 Reuben. John Reuben 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.
Pudi, Vikramkumar, et al.. (2024). In-Memory Implementation of an Approximate Adder With Reduced Latency and Error. IEEE Transactions on Circuits and Systems I Regular Papers. 72(5). 2128–2138.
2.
Reuben, John, Suzanne Lancaster, Dietmar Fey, & Stefan Slesazeck. (2024). On-chip READ and WRITE Circuits for Multi-bit Ferroelectric Tunnel Junction Memory. 1–6. 2 indexed citations
3.
Reuben, John, Dietmar Fey, Suzanne Lancaster, & Stefan Slesazeck. (2023). A Low-Power Ternary Adder Using Ferroelectric Tunnel Junctions. Electronics. 12(5). 1163–1163. 4 indexed citations
4.
Reuben, John, Dietmar Fey, & Stefan Slesazeck. (2023). A Reference-less Sense Amplifier to Sense pA Currents in Ferroelectric Tunnel Junction Memories. 1–4.
5.
Slesazeck, Stefan, et al.. (2023). Hyper Dimensional Computing with Ferroelectric Tunneling Junctions. 1–2. 1 indexed citations
6.
Reuben, John, et al.. (2022). Majority Logic Based In-Memory Comparator. 105–108. 2 indexed citations
7.
Romero‐Zaliz, Rocío, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, et al.. (2021). Toward Reliable Compact Modeling of Multilevel 1T-1R RRAM Devices for Neuromorphic Systems. Electronics. 10(6). 645–645. 35 indexed citations
8.
Reuben, John, et al.. (2021). A Novel In-Memory Wallace Tree Multiplier Architecture Using Majority Logic. IEEE Transactions on Circuits and Systems I Regular Papers. 69(3). 1148–1158. 26 indexed citations
9.
Fey, Dietmar & John Reuben. (2020). Direct state transfer in MLC based memristive ReRAM devices for ternary computing. 1–5. 9 indexed citations
10.
Reuben, John, et al.. (2020). Incorporating Variability of Resistive RAM in Circuit Simulations Using the Stanford–PKU Model. IEEE Transactions on Nanotechnology. 19. 508–518. 28 indexed citations
11.
Reuben, John. (2020). Binary Addition in Resistance Switching Memory Array by Sensing Majority. Micromachines. 11(5). 496–496. 17 indexed citations
12.
Reuben, John, et al.. (2020). A Parallel-friendly Majority Gate to Accelerate In-memory Computation. ERef Bayreuth (University of Bayreuth). 93–100. 13 indexed citations
13.
Reuben, John, Dietmar Fey, & Christian Wenger. (2019). A Modeling Methodology for Resistive RAM Based on Stanford-PKU Model With Extended Multilevel Capability. IEEE Transactions on Nanotechnology. 18. 647–656. 54 indexed citations
14.
Reuben, John, Rotem Ben-Hur, Nimrod Wald, et al.. (2017). Memristive logic: A framework for evaluation and comparison. 1–8. 63 indexed citations
15.
Reuben, John, et al.. (2016). Power Efficient 3D Clock Distribution Network Design with TSV Count Optimization. Procedia Computer Science. 93. 169–175. 1 indexed citations
16.
Reuben, John, et al.. (2014). A novel clock generation algorithm for system-on-chip based on least common multiple. Computers & Electrical Engineering. 40(7). 2113–2125. 3 indexed citations
17.
Reuben, John, et al.. (2014). A low power dual modulus prescaler for fractional-N PLL synthesizer. 1–4. 3 indexed citations
18.
Reuben, John, et al.. (2014). Buffer reduction algorithm for mesh-based clock distribution. 1–4. 2 indexed citations
19.
Reuben, John, et al.. (2013). Capacitance driven clock mesh synthesis to minimize skew and power dissipation. IEICE Electronics Express. 10(24). 20130850–20130850. 5 indexed citations
20.

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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