Kevin H. Knuth
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Ankoor S. ShahGeorge KarmosIstván UlbertCharles M. SchroederPéter LakatosMingzhou DingWilson TruccoloSteven L. Bressler
- Topics
- Statistical Mechanics and Entropy (13 papers)Stellar, planetary, and galactic studies (12 papers)Bayesian Modeling and Causal Inference (10 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
- Cellular and Molecular Neuroscience 372
- Artificial Intelligence 273
- Signal Processing 225
- Statistical and Nonlinear Physics 159
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 of co-authors of Kevin H. Knuth
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin H. Knuth. A scholar is included among the top collaborators of Kevin H. Knuth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin H. Knuth. Kevin H. Knuth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 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 | 3 |
| 3 | The Physics of Events: A Potential Foundation for Emergent Space-Time | 2 |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | Toward Question-Asking Machines: The Logic of Questions and the Inquiry Calculus | 5 |
| 18 | An Oscillatory Hierarchy Controlling Neuronal Excitability and Stimulus Processing in the Auditory Cortexbreakdown → | 882 |
| 19 | 146 | |
| 20 | 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) and Bayesian Modeling and Causal Inference (10 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.