Patrick Degenaar
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- Neuroscience and Neural Engineering 82
- Photoreceptor and optogenetics research 76
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 23
- EEG and Brain-Computer Interfaces 12
- Biomedical Engineering top 5%
- Molecular Communication and Nanonetworks 9
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- Advanced Memory and Neural Computing 32
- CCD and CMOS Imaging Sensors 16
- Condensed Matter Physics top 10%
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- Retinal Development and Disorders 9
- Co-authors
- Konstantin NikolićNir GrossmanC. ToumazouRolando Berlinguer‐PalminiJuan BurroneMark A. A. NeilWalid Al‐AtabanyMatthew S. Grubb
- Journals
- Journal of Neural Engineering (7 papers)IEEE Transactions on Biomedical Circuits and Systems (5 papers)Electronics Letters (3 papers)
- Partner nations
- United KingdomEgyptChina
In The Last Decade
Patrick Degenaar
123 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 1.3k
- Cognitive Neuroscience 572
- Biomedical Engineering 697
- Electrical and Electronic Engineering 695
- Condensed Matter Physics 105
Countries citing papers authored by Patrick Degenaar
This map shows the geographic impact of Patrick Degenaar'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 Patrick Degenaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Degenaar more than expected).
Fields of papers citing papers by Patrick Degenaar
This network shows the impact of papers produced by Patrick Degenaar. 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 Patrick Degenaar. The network helps show where Patrick Degenaar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick Degenaar, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 40 | |
| 10 | 2018 | 29 | |
| 11 | 2015 | 44 | |
| 12 | 2014 | 19 | |
| 13 | 2011 | 8 | |
| 14 | 2011 | 17 | |
| 15 | 2010 | 10 | |
| 16 | 2010 | 30 | |
| 17 | 2009 | 85 | |
| 18 | 2009 | 7 | |
| 19 | 2007 | 17 | |
| 20 | 2001 | 16 |
About Patrick Degenaar
Patrick Degenaar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (82 papers), Photoreceptor and optogenetics research (76 papers), Advanced Memory and Neural Computing (32 papers), Neural dynamics and brain function (23 papers), CCD and CMOS Imaging Sensors (16 papers), EEG and Brain-Computer Interfaces (12 papers), Molecular Communication and Nanonetworks (9 papers) and Retinal Development and Disorders (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cognitive Neuroscience (572 citations) and Biomedical Engineering (697 citations). Patrick Degenaar has collaborated with scholars based in United Kingdom, Egypt and China. Frequent co-authors include Konstantin Nikolić, Nir Grossman, C. Toumazou, Rolando Berlinguer‐Palmini, Juan Burrone, Mark A. A. Neil, Walid Al‐Atabany, Matthew S. Grubb, Emmanuel M. Drakakis and Brian McGovern. Their work appears in journals such as Journal of Neural Engineering, IEEE Transactions on Biomedical Circuits and Systems, Electronics Letters, BioMedical Engineering OnLine and IEEE Transactions on Biomedical Engineering.
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.