Nicholas C. Sinclair

621 citations
10 papers · 213 · h-index 7

Impact in

Papers in

Nicholas C. Sinclair

10 papers receiving 213 citations

Peers

Nicholas C. Sinclair
Comparison fields: 5 of 30
  • Cellular and Molecular Neuroscience 182
  • Cognitive Neuroscience 97
  • Electrical and Electronic Engineering 116
  • Molecular Biology 46
  • Signal Processing 7
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Ryan Huang China
Spiros H. Courellis United States
Florian Jetter Germany
Fleur Zeldenrust Netherlands
Baptiste Lefebvre France
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Cole Hurwitz United Kingdom
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Citations per year

Countries citing papers authored by Nicholas C. Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas C. Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas C. Sinclair. 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 Nicholas C. Sinclair. The network helps show where Nicholas C. Sinclair may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201456
2 201639
3 201636
4 201725
5 201716
6 201516
7 201210
8
Psychophysics of a suprachoroidal retinal prosthesis
20136
9 20105
10
Vision Processing with Lanczos2 Improves Low Vision Test Results in Implanted Visual Prosthetic Patients
20144

About Nicholas C. Sinclair

Nicholas C. Sinclair is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 213 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Advanced Memory and Neural Computing (7 papers), EEG and Brain-Computer Interfaces (6 papers), Photoreceptor and optogenetics research (3 papers), Blind Source Separation Techniques (2 papers), Neural dynamics and brain function (2 papers), CCD and CMOS Imaging Sensors (1 paper) and Retinal and Macular Surgery (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (182 citations), Cognitive Neuroscience (97 citations), Electrical and Electronic Engineering (116 citations), Molecular Biology (46 citations) and Signal Processing (7 citations). Nicholas C. Sinclair has collaborated with scholars based in Australia. Frequent co-authors include Peter J. Blamey, Hugh J. McDermott, Mohit N. Shivdasani, Lauren N. Ayton, Thushara Perera, Nick Barnes, Lisa N. Gillespie, Chi D. Luu, Mary Varsamidis and Peter Dimitrov. Their work appears in journals such as Investigative Ophthalmology & Visual Science, IEEE Transactions on Biomedical Engineering, Physica D Nonlinear Phenomena, Journal of Neural Engineering and IEEE Journal of Translational Engineering in Health and Medicine.

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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