John K. Douglass
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 2%
- Computer Networks and Communications top 2%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Co-authors
- Lon A. WilkensFrank MossEleni PantazelouNicholas J. StrausfeldRichard B. ForwardRudi LoeselGerhard ScholtzDavid Pierson
- Topics
- Neurobiology and Insect Physiology Research (17 papers)stochastic dynamics and bifurcation (8 papers)Animal Behavior and Reproduction (7 papers)
- Partner nations
- United StatesNetherlandsPanama
In The Last Decade
John K. Douglass
31 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Statistical and Nonlinear Physics 1.1k
- Cognitive Neuroscience 760
- Computer Networks and Communications 495
- Cellular and Molecular Neuroscience 457
- Molecular Biology 351
Countries citing papers authored by John K. Douglass
This map shows the geographic impact of John K. Douglass'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 John K. Douglass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Douglass more than expected).
Fields of papers citing papers by John K. Douglass
This network shows the impact of papers produced by John K. Douglass. 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 John K. Douglass. The network helps show where John K. Douglass may publish in the future.
Co-authorship network of co-authors of John K. Douglass
This figure shows the co-authorship network connecting the top 25 collaborators of John K. Douglass. A scholar is included among the top collaborators of John K. Douglass 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 John K. Douglass. John K. Douglass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 47 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 33 | |
| 8 | 87 | |
| 9 | 43 | |
| 10 | 24 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 23 | |
| 14 | 25 | |
| 15 | Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonancebreakdown → | 1146 |
| 16 | 59 | |
| 17 | Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons | 2 |
| 18 | 10 | |
| 19 | 32 | |
| 20 | 25 |
About John K. Douglass
John K. Douglass is a scholar working on Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), stochastic dynamics and bifurcation (8 papers) and Animal Behavior and Reproduction (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Cognitive Neuroscience (760 citations) and Cellular and Molecular Neuroscience (457 citations). John K. Douglass has collaborated with scholars based in United States, Netherlands and Panama. Frequent co-authors include Lon A. Wilkens, Frank Moss, Eleni Pantazelou, Nicholas J. Strausfeld, Richard B. Forward, Rudi Loesel, Gerhard Scholtz, David Pierson, Thomas W. Cronin and Charles M. Higgins. Their work appears in journals such as Nature, Journal of Neuroscience and The Journal of Comparative Neurology.
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.