Jeffrey S. Johnson
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Electronic, Optical and Magnetic Materials
- Biomedical Engineering
- Co-authors
- Bruno A. OlshausenAlexander J. ShackmanDaniel M. StoutChristine L. LarsonGeoffrey F. WoodmanSteven J. LuckElsie L. BraunTian Zhao
- Topics
- Neural dynamics and brain function (8 papers)Neural and Behavioral Psychology Studies (6 papers)Visual perception and processing mechanisms (4 papers)
- Partner nations
- United StatesSpainIndia
In The Last Decade
Jeffrey S. Johnson
19 papers receiving 637 citations
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 460
- Experimental and Cognitive Psychology 114
- Computer Vision and Pattern Recognition 94
- Electronic, Optical and Magnetic Materials 53
- Biomedical Engineering 53
Countries citing papers authored by Jeffrey S. Johnson
This map shows the geographic impact of Jeffrey S. Johnson'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 Jeffrey S. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Johnson more than expected).
Fields of papers citing papers by Jeffrey S. Johnson
This network shows the impact of papers produced by Jeffrey S. Johnson. 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 Jeffrey S. Johnson. The network helps show where Jeffrey S. Johnson may publish in the future.
Co-authorship network of co-authors of Jeffrey S. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Johnson. A scholar is included among the top collaborators of Jeffrey S. Johnson 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 Jeffrey S. Johnson. Jeffrey S. Johnson 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 36 | |
| 12 | 0 | |
| 13 | 75 | |
| 14 | 17 | |
| 15 | 73 | |
| 16 | 40 | |
| 17 | 45 | |
| 18 | 3 | |
| 19 | 194 | |
| 20 | 1 |
About Jeffrey S. Johnson
Jeffrey S. Johnson is a scholar working on Cognitive Neuroscience, General Decision Sciences and Music, having authored 24 papers that have together received 650 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neural and Behavioral Psychology Studies (6 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cognitive Neuroscience (460 citations), Experimental and Cognitive Psychology (114 citations) and Human-Computer Interaction (29 citations). Jeffrey S. Johnson has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Bruno A. Olshausen, Alexander J. Shackman, Daniel M. Stout, Christine L. Larson, Geoffrey F. Woodman, Steven J. Luck, Elsie L. Braun, Tian Zhao, Kenneth L. Knappenberger and Jeremy W. Jarrett. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neurophysiology and The Journal of Physical Chemistry C.
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.