Ivan Vo
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in ⓘ
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- Low-power high-performance VLSI design 7
- Advancements in PLL and VCO Technologies 6
- Photonic and Optical Devices 3
- Radio Frequency Integrated Circuit Design 2
- VLSI and FPGA Design Techniques 2
- Electromagnetic Compatibility and Noise Suppression 2
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- Analog and Mixed-Signal Circuit Design 4
- Co-authors
- Jun Sawada (2 shared papers)John V. Arthur (1 shared paper)Brian Taba (1 shared paper)Bryan L. Jackson (1 shared paper)Paul Merolla (1 shared paper)Rathinakumar Appuswamy (1 shared paper)Filipp Akopyan (1 shared paper)Steven K. Esser (1 shared paper)
- Partner nations
- United States
In The Last Decade
Ivan Vo
11 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 1.1k
- Electrical and Electronic Engineering 2.7k
- Cognitive Neuroscience 892
- Artificial Intelligence 854
- Hardware and Architecture 106
Countries citing papers authored by Ivan Vo
This map shows the geographic impact of Ivan Vo'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 Ivan Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Vo more than expected).
Fields of papers citing papers by Ivan Vo
This network shows the impact of papers produced by Ivan Vo. 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 Ivan Vo. The network helps show where Ivan Vo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Vo, 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 | A million spiking-neuron integrated circuit with a scalable communication network and interface Hit paper breakdown → | 2014 | 2780 |
| 2 | 1998 | 44 | |
| 3 | 2002 | 24 | |
| 4 | 2005 | 15 | |
| 5 | 2008 | 11 | |
| 6 | 2002 | 6 | |
| 7 | 2003 | 5 | |
| 8 | 2006 | 4 | |
| 9 | 2008 | 3 | |
| 10 | 2003 | 1 | |
| 11 | 2003 | 1 | |
| 12 | 2007 | 0 |
About Ivan Vo
Ivan Vo is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Hardware and Architecture, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 2.9k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (7 papers), Advancements in PLL and VCO Technologies (6 papers), Analog and Mixed-Signal Circuit Design (4 papers), Photonic and Optical Devices (3 papers), Radio Frequency Integrated Circuit Design (2 papers), VLSI and FPGA Design Techniques (2 papers), Electromagnetic Compatibility and Noise Suppression (2 papers) and VLSI and Analog Circuit Testing (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Electrical and Electronic Engineering (2.7k citations), Cognitive Neuroscience (892 citations), Artificial Intelligence (854 citations) and Hardware and Architecture (106 citations). Ivan Vo has collaborated with scholars based in United States. Frequent co-authors include Jun Sawada, John V. Arthur, Brian Taba, Bryan L. Jackson, Paul Merolla, Rathinakumar Appuswamy, Filipp Akopyan, Steven K. Esser, Nabil Imam and Yutaka Nakamura. Their work appears in journals such as Science and IEEE Journal of Solid-State Circuits.
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.