Simon Neukom
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- CCD and CMOS Imaging Sensors 4
- Advanced Memory and Neural Computing 3
- Photonic and Optical Devices 1
- Thin-Film Transistor Technologies 1
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- Neuroscience and Neural Engineering 4
- Co-authors
- Alessandro Maccione (3 shared papers)Kilian Imfeld (3 shared papers)Luca Berdondini (3 shared papers)Sérgio Martinoia (3 shared papers)M. Koudelka‐Hep (3 shared papers)Mariateresa Tedesco (1 shared paper)Yannick Bornat (1 shared paper)Pierre-André Farine (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)Lab on a Chip (1 paper)Journal of Applied Physics (1 paper)Conference proceedings (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (4 papers)
- Partner nations
- SwitzerlandItalyFrance
In The Last Decade
Simon Neukom
9 papers receiving 462 citations
Peers
Comparison fields: 5 of 53
- Cellular and Molecular Neuroscience 333
- Cognitive Neuroscience 218
- Instrumentation 35
- Electrochemistry 40
- Bioengineering 28
Countries citing papers authored by Simon Neukom
This map shows the geographic impact of Simon Neukom'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 Simon Neukom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Neukom more than expected).
Fields of papers citing papers by Simon Neukom
This network shows the impact of papers produced by Simon Neukom. 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 Simon Neukom. The network helps show where Simon Neukom may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Neukom, 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 | 2009 | 261 | |
| 2 | 2008 | 105 | |
| 3 | 2011 | 49 | |
| 4 | 2005 | 29 | |
| 5 | 2007 | 7 | |
| 6 | 2008 | 7 | |
| 7 | 2006 | 7 | |
| 8 | 2008 | 6 | |
| 9 | 2002 | 1 |
About Simon Neukom
Simon Neukom is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Instrumentation and Computer Networks and Communications, having authored 9 papers that have together received 472 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), CCD and CMOS Imaging Sensors (4 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (3 papers), Advanced Optical Sensing Technologies (2 papers), Photonic and Optical Devices (1 paper), Thin-Film Transistor Technologies (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (333 citations), Cognitive Neuroscience (218 citations), Instrumentation (35 citations), Electrochemistry (40 citations) and Bioengineering (28 citations). Simon Neukom has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Alessandro Maccione, Kilian Imfeld, Luca Berdondini, Sérgio Martinoia, M. Koudelka‐Hep, Mariateresa Tedesco, Yannick Bornat, Pierre-André Farine, R. Kaufmann and Ana Sánchez. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Lab on a Chip, Journal of Applied Physics, Conference proceedings and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.