John Vista
Impact in
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- Neuroscience and Neural Engineering
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
- Advancements in Semiconductor Devices and Circuit Design
Papers in
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- Advanced Memory and Neural Computing 7
- CCD and CMOS Imaging Sensors 4
- Advancements in PLL and VCO Technologies 3
- Radio Frequency Integrated Circuit Design 2
- Ferroelectric and Negative Capacitance Devices 1
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- Analog and Mixed-Signal Circuit Design 8
- Co-authors
- Ashish Ranjan (13 shared papers)Santosh Kumar (1 shared paper)Ravi Kumar (2 shared papers)Alak Majumder (1 shared paper)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2 papers)Analog Integrated Circuits and Signal Processing (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)IEEE Transactions on Electron Devices (1 paper)AEU - International Journal of Electronics and Communications (1 paper)
In The Last Decade
John Vista
12 papers receiving 320 citations
Peers
Comparison fields: 5 of 24
- Cellular and Molecular Neuroscience 140
- Electrical and Electronic Engineering 309
- Statistical and Nonlinear Physics 36
- Cognitive Neuroscience 42
- Artificial Intelligence 55
Countries citing papers authored by John Vista
This map shows the geographic impact of John Vista'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 Vista with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Vista more than expected).
Fields of papers citing papers by John Vista
This network shows the impact of papers produced by John Vista. 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 Vista. The network helps show where John Vista may publish in the future.
Co-authors
The 4 scholars most cited alongside John Vista, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2019 | 50 | |
| 3 | 2020 | 47 | |
| 4 | 2022 | 45 | |
| 5 | 2020 | 36 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 17 | |
| 8 | 2018 | 11 | |
| 9 | 2016 | 9 | |
| 10 | 2019 | 5 | |
| 11 | 2017 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2019 | 0 |
About John Vista
John Vista is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 325 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (8 papers), Neuroscience and Neural Engineering (7 papers), Advanced Memory and Neural Computing (7 papers), CCD and CMOS Imaging Sensors (4 papers), Advancements in PLL and VCO Technologies (3 papers), Radio Frequency Integrated Circuit Design (2 papers), Advanced Control Systems Design (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (140 citations), Electrical and Electronic Engineering (309 citations), Statistical and Nonlinear Physics (36 citations), Cognitive Neuroscience (42 citations) and Artificial Intelligence (55 citations). John Vista has collaborated with scholars based in India and China. Frequent co-authors include Ashish Ranjan, Santosh Kumar, Ravi Kumar and Alak Majumder. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Analog Integrated Circuits and Signal Processing, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Electron Devices and AEU - International Journal of Electronics and Communications.
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.