E. N. Johnson
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
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- Neurobiology and Insect Physiology Research
Papers in
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- Visual perception and processing mechanisms 6
- Neural dynamics and brain function 4
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- Neurobiology and Insect Physiology Research 4
- Co-authors
- Michael J. Hawken (4 shared papers)Robert Shapley (4 shared papers)J. M. Camhi (1 shared paper)Greg D. Field (2 shared papers)Katherine Mancuso (1 shared paper)Kowa Koida (1 shared paper)Gregory D. Horwitz (1 shared paper)Bevil R. Conway (1 shared paper)
- Journals
- Journal of Neuroscience (4 papers)Journal of Neurophysiology (1 paper)The Journal of Comparative Neurology (1 paper)Journal of Experimental Biology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
E. N. Johnson
11 papers receiving 838 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 640
- Cellular and Molecular Neuroscience 200
- Social Psychology 206
- Sensory Systems 48
- Atomic and Molecular Physics, and Optics 237
Countries citing papers authored by E. N. Johnson
This map shows the geographic impact of E. N. 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 E. N. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. N. Johnson more than expected).
Fields of papers citing papers by E. N. Johnson
This network shows the impact of papers produced by E. N. 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 E. N. Johnson. The network helps show where E. N. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside E. N. Johnson, 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 | 2001 | 293 | |
| 2 | 2008 | 137 | |
| 3 | 2004 | 123 | |
| 4 | 2010 | 117 | |
| 5 | 1999 | 117 | |
| 6 | 2010 | 21 | |
| 7 | 2017 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2022 | 8 | |
| 10 | 2018 | 5 | |
| 11 | 2019 | 4 |
About E. N. Johnson
E. N. Johnson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Atomic and Molecular Physics, and Optics and Human-Computer Interaction, having authored 11 papers that have together received 856 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (6 papers), Neural dynamics and brain function (4 papers), Neurobiology and Insect Physiology Research (4 papers), Color Science and Applications (2 papers), Retinal Development and Disorders (2 papers), Gaze Tracking and Assistive Technology (1 paper), Evolutionary Psychology and Human Behavior (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (640 citations), Cellular and Molecular Neuroscience (200 citations), Social Psychology (206 citations), Sensory Systems (48 citations) and Atomic and Molecular Physics, and Optics (237 citations). E. N. Johnson has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Michael J. Hawken, Robert Shapley, J. M. Camhi, Greg D. Field, Katherine Mancuso, Kowa Koida, Gregory D. Horwitz, Bevil R. Conway, Soumya Chatterjee and David Fitzpatrick. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, The Journal of Comparative Neurology, Journal of Experimental Biology and Nature Neuroscience.
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.