Jeffrey A. Fredenburg
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience
- Neurology
- Co-authors
- Michael P. FlynnJaehun JeongParag G. PatilJi‐Hyun ChoEuisik YoonThéoden I. NetoffChunyang ZhaiYong Lim
- Topics
- Analog and Mixed-Signal Circuit Design (9 papers)Neuroscience and Neural Engineering (5 papers)CCD and CMOS Imaging Sensors (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceBiomedical EngineeringElectrical and Electronic Engineering
- Journals
- IEEE Journal of Solid-State CircuitsIEEE Transactions on Circuits and Systems I Regular PapersOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
- Partner nations
- United StatesSouth KoreaIsrael
In The Last Decade
Jeffrey A. Fredenburg
13 papers receiving 489 citations
Peers
Comparison fields: 5 of 36
- Electrical and Electronic Engineering 390
- Biomedical Engineering 349
- Cellular and Molecular Neuroscience 169
- Cognitive Neuroscience 91
- Neurology 35
Countries citing papers authored by Jeffrey A. Fredenburg
This map shows the geographic impact of Jeffrey A. Fredenburg'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 Jeffrey A. Fredenburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Fredenburg more than expected).
Fields of papers citing papers by Jeffrey A. Fredenburg
This network shows the impact of papers produced by Jeffrey A. Fredenburg. 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 Jeffrey A. Fredenburg. The network helps show where Jeffrey A. Fredenburg may publish in the future.
Co-authorship network of co-authors of Jeffrey A. Fredenburg
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Fredenburg. A scholar is included among the top collaborators of Jeffrey A. Fredenburg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey A. Fredenburg. Jeffrey A. Fredenburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 18 | |
| 4 | 61 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 12 | |
| 8 | 82 | |
| 9 | 195 | |
| 10 | 14 | |
| 11 | 36 | |
| 12 | 32 | |
| 13 | 4 | |
| 14 | 14 |
About Jeffrey A. Fredenburg
Jeffrey A. Fredenburg is a scholar working on Instrumentation, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 14 papers that have together received 498 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (9 papers), Neuroscience and Neural Engineering (5 papers) and CCD and CMOS Imaging Sensors (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (169 citations), Biomedical Engineering (349 citations) and Electrical and Electronic Engineering (390 citations). Jeffrey A. Fredenburg has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Michael P. Flynn, Jaehun Jeong, Parag G. Patil, Ji‐Hyun Cho, Euisik Yoon, Théoden I. Netoff, Chunyang Zhai, Yong Lim, John Bell and Cynthia A. Chestek. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.