Kevin H. Knuth
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 7
- Signal Processing top 5%
- Blind Source Separation Techniques 8
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- Statistical Mechanics and Entropy 13
- Sensory Systems top 5%
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- Stellar, planetary, and galactic studies 12
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- Bayesian Modeling and Causal Inference 10
- Neural Networks and Applications 9
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- Astronomy and Astrophysical Research 8
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- Rough Sets and Fuzzy Logic 6
- Co-authors
- Ankoor S. ShahGeorge KarmosIstván UlbertCharles M. SchroederPéter LakatosMingzhou DingWilson TruccoloSteven L. Bressler
- Journals
- The Astrophysical Journal (3 papers)American Journal of Psychiatry (1 paper)Journal of Neurophysiology (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Kevin H. Knuth
88 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 1.3k
- Signal Processing 225
- Cellular and Molecular Neuroscience 372
- Statistical and Nonlinear Physics 159
- Sensory Systems 61
Countries citing papers authored by Kevin H. Knuth
This map shows the geographic impact of Kevin H. Knuth'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 H. Knuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin H. Knuth more than expected).
Fields of papers citing papers by Kevin H. Knuth
This network shows the impact of papers produced by Kevin H. Knuth. 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 H. Knuth. The network helps show where Kevin H. Knuth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin H. Knuth, 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 | 2025 | 0 | |
| 2 | BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering | 2012 | 3 |
| 3 | The Physics of Events: A Potential Foundation for Emergent Space-Time | 2012 | 2 |
| 4 | 2011 | 4 | |
| 5 | 2007 | 2 | |
| 6 | 2007 | 1 | |
| 7 | 2007 | 1 | |
| 8 | 2007 | 2 | |
| 9 | 2007 | 11 | |
| 10 | 2007 | 0 | |
| 11 | 2007 | 2 | |
| 12 | 2007 | 2 | |
| 13 | 2007 | 0 | |
| 14 | 2007 | 0 | |
| 15 | 2007 | 2 | |
| 16 | 2006 | 13 | |
| 17 | Toward Question-Asking Machines: The Logic of Questions and the Inquiry Calculus | 2005 | 5 |
| 18 | An Oscillatory Hierarchy Controlling Neuronal Excitability and Stimulus Processing in the Auditory Cortexbreakdown → | 2005 | 882 |
| 19 | 2004 | 146 | |
| 20 | 2002 | 8 |
About Kevin H. Knuth
Kevin H. Knuth is a scholar working on Instrumentation, Statistical and Nonlinear Physics and Signal Processing, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (13 papers), Stellar, planetary, and galactic studies (12 papers), Bayesian Modeling and Causal Inference (10 papers), Neural Networks and Applications (9 papers), Blind Source Separation Techniques (8 papers), Astronomy and Astrophysical Research (8 papers), Neural dynamics and brain function (7 papers) and Rough Sets and Fuzzy Logic (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Signal Processing (225 citations) and Cellular and Molecular Neuroscience (372 citations). Kevin H. Knuth has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Ankoor S. Shah, George Karmos, István Ulbert, Charles M. Schroeder, Péter Lakatos, Mingzhou Ding, Wilson Truccolo, Steven L. Bressler, Richard Nakamura and Kevin Wheeler. Their work appears in journals such as The Astrophysical Journal, American Journal of Psychiatry and Journal of Neurophysiology.
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.