Virgil Griffith
Impact in
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- Complex Network Analysis Techniques
- Statistical Mechanics and Entropy
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- Neural dynamics and brain function
Papers in
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- Neural Networks and Applications 3
- Cognitive Science and Mapping 1
- Evolutionary Algorithms and Applications 1
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- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 1
- Co-authors
- Tracey Ho (1 shared paper)Ryan G. James (1 shared paper)James P. Crutchfield (1 shared paper)Edwin K. P. Chong (1 shared paper)Christopher J. Ellison (1 shared paper)Larry Yaeger (1 shared paper)Olaf Sporns (1 shared paper)Phil Maguire (1 shared paper)
- Journals
- Artificial Life (1 paper)Entropy (2 papers)eScholarship (California Digital Library) (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Virgil Griffith
5 papers receiving 86 citations
Peers
Comparison fields: 5 of 39
- Statistical and Nonlinear Physics 22
- Cognitive Neuroscience 31
- Artificial Intelligence 30
- History and Philosophy of Science 4
- Computational Theory and Mathematics 12
Countries citing papers authored by Virgil Griffith
This map shows the geographic impact of Virgil Griffith'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 Virgil Griffith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virgil Griffith more than expected).
Fields of papers citing papers by Virgil Griffith
This network shows the impact of papers produced by Virgil Griffith. 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 Virgil Griffith. The network helps show where Virgil Griffith may publish in the future.
Co-authors
The 9 scholars most cited alongside Virgil Griffith, 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 | 2014 | 49 | |
| 2 | 2015 | 21 | |
| 3 | 2011 | 11 | |
| 4 | Is Consciousness Computable? Quantifying Integrated Information Using Algorithmic Information Theory | 2014 | 7 |
| 5 | 1963 | 2 |
About Virgil Griffith
Virgil Griffith is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Control and Systems Engineering, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 5 papers that have together received 90 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Neural dynamics and brain function (2 papers), Statistical Mechanics and Entropy (1 paper), Computability, Logic, AI Algorithms (1 paper), Cognitive Science and Mapping (1 paper), EEG and Brain-Computer Interfaces (1 paper), Evolutionary Algorithms and Applications (1 paper) and Evolutionary Game Theory and Cooperation (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (22 citations), Cognitive Neuroscience (31 citations), Artificial Intelligence (30 citations), History and Philosophy of Science (4 citations) and Computational Theory and Mathematics (12 citations). Virgil Griffith has collaborated with scholars based in United States and Singapore. Frequent co-authors include Tracey Ho, Ryan G. James, James P. Crutchfield, Edwin K. P. Chong, Christopher J. Ellison, Larry Yaeger, Olaf Sporns, Phil Maguire and Rebecca Maguire. Their work appears in journals such as Artificial Life, Entropy and eScholarship (California Digital Library).
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.