John Reuben

603 citations
36 papers · 438 · h-index 12

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Memory and Neural Computing
    • Ferroelectric and Negative Capacitance Devices
    • Semiconductor materials and devices
    • Low-power high-performance VLSI design
    • CCD and CMOS Imaging Sensors

Papers in

John Reuben

33 papers receiving 432 citations

Peers

John Reuben
Comparison fields: 5 of 28
  • Hardware and Architecture 55
  • Electrical and Electronic Engineering 405
  • Cellular and Molecular Neuroscience 123
  • Computational Theory and Mathematics 28
  • Polymers and Plastics 22
Replace Mathieu Moreau with:
Mathieu Moreau France
Hoang Anh Du Nguyen Netherlands
Miguel Ángel Lastras-Montaño United States
Pravin Mane India
Liang Yan China
Rotem Ben-Hur Israel
Harika Manem United States
Wonbo Shim United States
Xingqi Zou China
Christopher Bengel Germany
John Reuben relative to Mathieu Moreau France Mathieu Moreau's profile →
Citations per field
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Citations per year

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-authors

The 20 scholars most cited alongside John Reuben, 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 John Reuben Line = papers co-authored together John Reuben links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201955
3 202137
4 202136
5 202032
6 201930
7 202129
8 202023
9 202018
10 202013
11 201912
12 201912
13 20209
14 20218
15 20138
16 20165
17 20135
18 20234
19 20124
20 20143

About John Reuben

John Reuben is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 36 papers that have together received 438 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (20 papers), Semiconductor materials and devices (12 papers), Low-power high-performance VLSI design (9 papers), Neuroscience and Neural Engineering (8 papers), VLSI and FPGA Design Techniques (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Advancements in PLL and VCO Technologies (4 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Electrical and Electronic Engineering (405 citations), Cellular and Molecular Neuroscience (123 citations), Computational Theory and Mathematics (28 citations) and Polymers and Plastics (22 citations). John Reuben has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Dietmar Fey, Christian Wenger, Rotem Ben-Hur, Shahar Kvatinsky, Nishil Talati, Nimrod Wald, Pierre‐Emmanuel Gaillardon, Vikramkumar Pudi, Harish M. Kittur and Ameer Haj-Ali. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Nanotechnology, Electronics, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Computers & Electrical Engineering.

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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