John Lazzaro

13 papers receiving 264 citations

Peers

John Lazzaro
Comparison fields: 5 of 48
  • Ceramics and Composites 52
  • Signal Processing 52
  • Cognitive Neuroscience 91
  • Computer Vision and Pattern Recognition 56
  • Electrical and Electronic Engineering 154
Replace Motonobu Hattori with:
Motonobu Hattori Japan
Yuanjian Liu China
Thomas Jacob Koickal United Kingdom
Luiz Carlos Gouveia United Kingdom
Yaoyuan Wang China
X. Arreguit Switzerland
J. Lazzaro United States
Frank Klefenz Germany
Davis Barch United States
Long To United States
John Lazzaro relative to Motonobu Hattori Japan Motonobu Hattori's profile →
Citations per field
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Motonobu Hattori · 1×
Citations per year

Countries citing papers authored by John Lazzaro

Since Specialization
Citations

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

Fields of papers citing papers by John Lazzaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside John Lazzaro, 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 Lazzaro Line = papers co-authored together John Lazzaro links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 198982
2 198363
3 199233
4
A Delay-Line Based Motion Detection Chip
199032
5 200132
6 19999
7 19978
8
Temporal Adaptation in a Silicon Auditory Nerve
19917
9
A Micropower Analog VLSI HMM State Decoder for Wordspotting
19967
10 19936
11 20064
12
CNS-1 Architecture Specification
19933
13
Silicon baroreceptors: modeling cardiovascular pressure transduction in analog VLSI
19912
14 20160

About John Lazzaro

John Lazzaro is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing and Biomedical Engineering, having authored 14 papers that have together received 288 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (5 papers), Neural dynamics and brain function (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (2 papers), Neuroscience and Neural Engineering (2 papers), Image Processing Techniques and Applications (2 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Ceramics and Composites (52 citations), Signal Processing (52 citations), Cognitive Neuroscience (91 citations), Computer Vision and Pattern Recognition (56 citations) and Electrical and Electronic Engineering (154 citations). John Lazzaro has collaborated with scholars based in United States. Frequent co-authors include Carver Mead, John Wawrzynek, J. C. Corelli, Christof Koch, Andrew W. Moore, Timothy K. Horiuchi, Andrew Moore, Wyeth Bair, Richard P. Lippmann and James S. Schwaber. Their work appears in journals such as Neural Computation, International Journal of Computer Vision, Analog Integrated Circuits and Signal Processing, Journal of the American Ceramic Society and Journal of the Audio Engineering Society.

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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