Justin L. Gardner
- Cognitive Neuroscience top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Spectroscopy top 1%
- Molecular Biology
- Atmospheric Science top 10%
- Co-authors
- James A. R. SamsonDavid J. HeegerKang ChengStephen G. LisbergerKenichi UenoG. N. HaddadElisha P. MerriamJ. Anthony Movshon
- Topics
- Neural dynamics and brain function (36 papers)Visual perception and processing mechanisms (33 papers)Calibration and Measurement Techniques (21 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Justin L. Gardner
107 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 136
- Cognitive Neuroscience 1.6k
- Atomic and Molecular Physics, and Optics 1.2k
- Spectroscopy 665
- Molecular Biology 285
- Atmospheric Science 248
Countries citing papers authored by Justin L. Gardner
This map shows the geographic impact of Justin L. Gardner'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 Justin L. Gardner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin L. Gardner more than expected).
Fields of papers citing papers by Justin L. Gardner
This network shows the impact of papers produced by Justin L. Gardner. 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 Justin L. Gardner. The network helps show where Justin L. Gardner may publish in the future.
Co-authorship network of co-authors of Justin L. Gardner
This figure shows the co-authorship network connecting the top 25 collaborators of Justin L. Gardner. A scholar is included among the top collaborators of Justin L. Gardner 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 Justin L. Gardner. Justin L. Gardner 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 | 33 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 26 | |
| 8 | 26 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 89 | |
| 12 | 139 | |
| 13 | 152 | |
| 14 | 146 | |
| 15 | 31 | |
| 16 | 167 | |
| 17 | 23 | |
| 18 | 44 | |
| 19 | 89 | |
| 20 | 1 |
About Justin L. Gardner
Justin L. Gardner is a scholar working on Cognitive Neuroscience, Statistics, Probability and Uncertainty and Spectroscopy, having authored 109 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (36 papers), Visual perception and processing mechanisms (33 papers) and Calibration and Measurement Techniques (21 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Spectroscopy (665 citations) and Atomic and Molecular Physics, and Optics (1.2k citations). Justin L. Gardner has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include James A. R. Samson, David J. Heeger, Kang Cheng, Stephen G. Lisberger, Kenichi Ueno, G. N. Haddad, Elisha P. Merriam, J. Anthony Movshon, Keiji Tanaka and Franco Pestilli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.