Judith E. Dayhoff
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
Papers in
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- Neural Networks and Applications 19
- Neural Networks and Reservoir Computing 4
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- Neural dynamics and brain function 11
- Co-authors
- G. L. Gerstein (2 shared papers)Rafael Lahoz-Beltrá (9 shared papers)Stuart R. Hameroff (9 shared papers)Daw-Tung Lin (9 shared papers)Benjamin A. Shoemaker (1 shared paper)Anna R. Panchenko (1 shared paper)Stephen H. Bryant (1 shared paper)Panos A. Ligomenides (6 shared papers)
- Journals
- Bulletin of Mathematical Biology (2 papers)Journal of Neurophysiology (2 papers)Neurocomputing (1 paper)Mathematical and Computer Modelling (1 paper)Cancer (1 paper)
- Partner nations
- United StatesSpainSweden
In The Last Decade
Judith E. Dayhoff
43 papers receiving 923 citations
Peers
Comparison fields: 5 of 154
- Cognitive Neuroscience 191
- Industrial and Manufacturing Engineering 90
- Artificial Intelligence 262
- Cellular and Molecular Neuroscience 132
- Health Informatics 7
Countries citing papers authored by Judith E. Dayhoff
This map shows the geographic impact of Judith E. Dayhoff'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 Judith E. Dayhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith E. Dayhoff more than expected).
Fields of papers citing papers by Judith E. Dayhoff
This network shows the impact of papers produced by Judith E. Dayhoff. 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 Judith E. Dayhoff. The network helps show where Judith E. Dayhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith E. Dayhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 351 | |
| 2 | 1983 | 96 | |
| 3 | 1983 | 80 | |
| 4 | 2009 | 60 | |
| 5 | 1995 | 49 | |
| 6 | 1992 | 41 | |
| 7 | 1993 | 38 | |
| 8 | 1986 | 34 | |
| 9 | 1994 | 32 | |
| 10 | 1986 | 28 | |
| 11 | 1992 | 25 | |
| 12 | 2001 | 21 | |
| 13 | 1987 | 18 | |
| 14 | 2007 | 15 | |
| 15 | 1984 | 13 | |
| 16 | 1990 | 10 | |
| 17 | 2001 | 9 | |
| 18 | 1984 | 9 | |
| 19 | 1994 | 8 | |
| 20 | A Learning Algorithm for Adaptive Time-Delays in a Temporal Neural Network | 1992 | 8 |
About Judith E. Dayhoff
Judith E. Dayhoff is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering, Molecular Biology and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (5 papers), Microtubule and mitosis dynamics (4 papers), Neural Networks and Reservoir Computing (4 papers), Scheduling and Optimization Algorithms (3 papers), Fractal and DNA sequence analysis (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (191 citations), Industrial and Manufacturing Engineering (90 citations), Artificial Intelligence (262 citations), Cellular and Molecular Neuroscience (132 citations) and Health Informatics (7 citations). Judith E. Dayhoff has collaborated with scholars based in United States, Spain and Sweden. Frequent co-authors include G. L. Gerstein, Rafael Lahoz-Beltrá, Stuart R. Hameroff, Daw-Tung Lin, Benjamin A. Shoemaker, Anna R. Panchenko, Stephen H. Bryant, Panos A. Ligomenides, Steen Rasmussen and Alexei V. Samsonovich. Their work appears in journals such as Bulletin of Mathematical Biology, Journal of Neurophysiology, Neurocomputing, Mathematical and Computer Modelling and Cancer.
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.