Kevin L. Briggman
- Structural Biology top 0.2%
- Advanced Electron Microscopy Techniques and Applications 9
- Biophysics top 0.2%
- Cell Image Analysis Techniques 10
- Advanced Fluorescence Microscopy Techniques 7
- Cellular and Molecular Neuroscience top 0.5%
- Photoreceptor and optogenetics research 13
- Neuroscience and Neural Engineering 9
- Neurobiology and Insect Physiology Research 7
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 15
- Aging top 2%
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- Retinal Development and Disorders 18
- Co-authors
- Winfried DenkMoritz HelmstaedterWilliam B. KristanH. Sebastian SeungSrinivas C. TuragaViren JainDavi D. BockHenry D. I. Abarbanel
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Kevin L. Briggman
45 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Structural Biology 565
- Biophysics 949
- Cellular and Molecular Neuroscience 2.0k
- Cognitive Neuroscience 1.5k
- Aging 94
Countries citing papers authored by Kevin L. Briggman
This map shows the geographic impact of Kevin L. Briggman'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 Kevin L. Briggman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin L. Briggman more than expected).
Fields of papers citing papers by Kevin L. Briggman
This network shows the impact of papers produced by Kevin L. Briggman. 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 Kevin L. Briggman. The network helps show where Kevin L. Briggman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin L. Briggman, 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 | 2024 | 6 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 4 | |
| 6 | 2019 | 33 | |
| 7 | 2018 | 38 | |
| 8 | 2018 | 140 | |
| 9 | 2017 | 24 | |
| 10 | Connectomics of irradiance-encoding ON bipolar-cell inputs to ipRGCs | 2016 | 1 |
| 11 | 2015 | 52 | |
| 12 | 2015 | 4 | |
| 13 | Connectomic reconstruction of the inner plexiform layer in the mouse retinabreakdown → | 2013 | 664 |
| 14 | 2012 | 137 | |
| 15 | Learning to Agglomerate Superpixel Hierarchies | 2011 | 36 |
| 16 | Maximin affinity learning of image segmentation | 2009 | 37 |
| 17 | 2008 | 128 | |
| 18 | 2006 | 115 | |
| 19 | 2006 | 27 | |
| 20 | 2006 | 203 |
About Kevin L. Briggman
Kevin L. Briggman is a scholar working on Structural Biology, Biophysics and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 4.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (18 papers), Neural dynamics and brain function (15 papers), Photoreceptor and optogenetics research (13 papers), Cell Image Analysis Techniques (10 papers), Neuroscience and Neural Engineering (9 papers), Advanced Electron Microscopy Techniques and Applications (9 papers), Neurobiology and Insect Physiology Research (7 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). The work is most often cited by research in Structural Biology (565 citations), Biophysics (949 citations) and Cellular and Molecular Neuroscience (2.0k citations). Kevin L. Briggman has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Winfried Denk, Moritz Helmstaedter, William B. Kristan, H. Sebastian Seung, Srinivas C. Turaga, Viren Jain, Davi D. Bock, Henry D. I. Abarbanel, Jeffrey S. Diamond and Robert G. Smith. Their work appears in journals such as Nature, Science and Cell.
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.