Steven Decker
Impact in
- Biomedical Engineering top 5%
- Analog and Mixed-Signal Circuit Design
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- CCD and CMOS Imaging Sensors
- Advanced Memory and Neural Computing
- Low-power high-performance VLSI design
Papers in
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- Analog and Mixed-Signal Circuit Design 8
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- CCD and CMOS Imaging Sensors 3
- Advanced Memory and Neural Computing 1
- Co-authors
- C.G. Sodini (5 shared papers)Hongxing Li (2 shared papers)Ron Kapusta (3 shared papers)Junhua Shen (2 shared papers)D.F. Kelly (4 shared papers)Paul Wilkin (2 shared papers)Siddharth Devarajan (2 shared papers)L.A. Singer (2 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (4 papers)Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference (5 papers)IEEE Intelligent Vehicles Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Steven Decker
11 papers receiving 554 citations
Peers
Comparison fields: 5 of 24
- Biomedical Engineering 334
- Electrical and Electronic Engineering 274
- Instrumentation 7
- Computer Vision and Pattern Recognition 27
- Hardware and Architecture 9
Countries citing papers authored by Steven Decker
This map shows the geographic impact of Steven Decker'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 Steven Decker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Decker more than expected).
Fields of papers citing papers by Steven Decker
This network shows the impact of papers produced by Steven Decker. 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 Steven Decker. The network helps show where Steven Decker may publish in the future.
Co-authors
The 20 scholars most cited alongside Steven Decker, 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 | 1998 | 231 | |
| 2 | 2013 | 111 | |
| 3 | 2009 | 91 | |
| 4 | 1992 | 53 | |
| 5 | 2009 | 42 | |
| 6 | 2013 | 25 | |
| 7 | 2002 | 18 | |
| 8 | 2002 | 16 | |
| 9 | 2006 | 5 | |
| 10 | New Architecture Paradigms for Analog VLSI Chips | 1995 | 1 |
| 11 | 2005 | 1 |
About Steven Decker
Steven Decker is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Automotive Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 594 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (8 papers), CCD and CMOS Imaging Sensors (3 papers), Advanced Memory and Neural Computing (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Biomedical Engineering (334 citations), Electrical and Electronic Engineering (274 citations), Instrumentation (7 citations), Computer Vision and Pattern Recognition (27 citations) and Hardware and Architecture (9 citations). Steven Decker has collaborated with scholars based in United States. Frequent co-authors include C.G. Sodini, Hongxing Li, Ron Kapusta, Junhua Shen, D.F. Kelly, Paul Wilkin, Siddharth Devarajan, L.A. Singer, Haiyang Zhu and John L. Wyatt. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference and IEEE Intelligent Vehicles Symposium.
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.