David Ferster
- Cognitive Neuroscience top 0.1%
- Neural dynamics and brain function 53
- Visual perception and processing mechanisms 39
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research 16
- Neurobiology and Insect Physiology Research 14
- Photoreceptor and optogenetics research 11
- Neuroscience and Neural Engineering 8
- Sensory Systems top 1%
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques 4
- Developmental Biology top 5%
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- Retinal Development and Disorders 7
- Co-authors
- Matteo CarandiniNicholas J. PriebeIlan LamplKenneth D. MillerJeffrey S. AndersonSooyoung ChungS. LindströmSimon LeVay
- Partner nations
- United StatesBulgariaSwitzerland
In The Last Decade
David Ferster
59 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cognitive Neuroscience 7.7k
- Cellular and Molecular Neuroscience 5.2k
- Sensory Systems 286
- Biophysics 308
- Developmental Biology 97
Countries citing papers authored by David Ferster
This map shows the geographic impact of David Ferster'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 David Ferster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ferster more than expected).
Fields of papers citing papers by David Ferster
This network shows the impact of papers produced by David Ferster. 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 David Ferster. The network helps show where David Ferster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Ferster, 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 | 2013 | 21 | |
| 2 | 2010 | 65 | |
| 3 | 2009 | 317 | |
| 4 | 2007 | 182 | |
| 5 | 2007 | 27 | |
| 6 | 2005 | 190 | |
| 7 | 2004 | 167 | |
| 8 | Synfire Chains and Cortical Songs: Elastic Temporal Modules of Cortical Activity | 2004 | 1 |
| 9 | 2001 | 1 | |
| 10 | 2001 | 73 | |
| 11 | 1999 | 305 | |
| 12 | 1998 | 2 | |
| 13 | 1998 | 107 | |
| 14 | The size of thalamic input to simple cells of the cat visual cortex | 1997 | 3 |
| 15 | 1997 | 1 | |
| 16 | 1996 | 410 | |
| 17 | 1994 | 40 | |
| 18 | 1990 | 41 | |
| 19 | 1990 | 4 | |
| 20 | 1988 | 211 |
About David Ferster
David Ferster is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 60 papers that have together received 8.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (53 papers), Visual perception and processing mechanisms (39 papers), Neuroscience and Neuropharmacology Research (16 papers), Neurobiology and Insect Physiology Research (14 papers), Photoreceptor and optogenetics research (11 papers), Neuroscience and Neural Engineering (8 papers), Retinal Development and Disorders (7 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (7.7k citations), Cellular and Molecular Neuroscience (5.2k citations) and Sensory Systems (286 citations). David Ferster has collaborated with scholars based in United States, Bulgaria and Switzerland. Frequent co-authors include Matteo Carandini, Nicholas J. Priebe, Ilan Lampl, Kenneth D. Miller, Jeffrey S. Anderson, Sooyoung Chung, S. Lindström, Simon LeVay, Ian M. Finn and Bharathi Jagadeesh. Their work appears in journals such as Neuron, Journal of Neuroscience, Science, Journal of Neurophysiology and Nature Neuroscience.
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.