Justin L. Gardner

5.0k total citations
109 papers, 3.6k citations indexed

About

Justin L. Gardner is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, Justin L. Gardner has authored 109 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 31 papers in Atomic and Molecular Physics, and Optics and 22 papers in Aerospace Engineering. Recurrent topics in Justin L. Gardner's work include Neural dynamics and brain function (36 papers), Visual perception and processing mechanisms (33 papers) and Calibration and Measurement Techniques (21 papers). Justin L. Gardner is often cited by papers focused on Neural dynamics and brain function (36 papers), Visual perception and processing mechanisms (33 papers) and Calibration and Measurement Techniques (21 papers). Justin L. Gardner collaborates with scholars based in United States, Australia and Japan. Justin L. Gardner's 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, Franco Pestilli and Keiji Tanaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Justin L. Gardner

107 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Justin L. Gardner United States 34 1.6k 1.2k 665 285 248 109 3.6k
Charles H. Anderson United States 33 2.4k 1.5× 1.0k 0.9× 294 0.4× 265 0.9× 96 0.4× 101 6.3k
Alexei Ossadtchi Russia 18 766 0.5× 657 0.5× 328 0.5× 195 0.7× 85 0.3× 63 2.0k
William B. Whitten United States 31 598 0.4× 730 0.6× 830 1.2× 254 0.9× 315 1.3× 141 3.4k
O. V. Lounasmaa Finland 39 4.4k 2.7× 2.1k 1.7× 214 0.3× 106 0.4× 26 0.1× 118 8.1k
J. M. Moran United States 48 342 0.2× 755 0.6× 1.1k 1.6× 61 0.2× 564 2.3× 273 9.3k
Darcy S. Peterka United States 35 1.4k 0.9× 1.2k 0.9× 546 0.8× 483 1.7× 522 2.1× 71 4.5k
R. W. Ditchburn United Kingdom 21 1.0k 0.6× 343 0.3× 118 0.2× 261 0.9× 130 0.5× 66 2.3k
Hugh Christopher Longuet-Higgins United Kingdom 22 623 0.4× 1.6k 1.3× 495 0.7× 84 0.3× 120 0.5× 31 4.4k
W. Jacob Germany 47 173 0.1× 846 0.7× 284 0.4× 153 0.5× 129 0.5× 232 7.6k
R. G. H. Robertson United States 35 1000 0.6× 549 0.4× 190 0.3× 174 0.6× 16 0.1× 111 3.8k

Countries citing papers authored by Justin L. Gardner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Wilson, Joshua M., Hua Wu, Adam B. Kerr, Brian A. Wandell, & Justin L. Gardner. (2024). Limitations of 2-dimensional line-scan MRI for directly measuring neural activity. Imaging Neuroscience. 2. 1 indexed citations
2.
Gardner, Justin L., et al.. (2022). Texture-like representation of objects in human visual cortex. Proceedings of the National Academy of Sciences. 119(17). e2115302119–e2115302119. 33 indexed citations
3.
Himmelberg, Marc M., Justin L. Gardner, & Jonathan Winawer. (2022). What has vision science taught us about functional MRI?. NeuroImage. 261. 119536–119536. 7 indexed citations
4.
Gardner, Justin L., et al.. (2020). Context effects on probability estimation. PLoS Biology. 18(3). e3000634–e3000634. 2 indexed citations
5.
Gardner, Justin L.. (2019). Artificial Intelligence and Machine Learning Algorithms For Informing the Diagnostic Process of Mild Cognitive Impairment and Dementia. Archives of Clinical Neuropsychology. 34(6). 838–838. 1 indexed citations
6.
Birman, Daniel & Justin L. Gardner. (2018). A quantitative framework for motion visibility in human cortex. Journal of Neurophysiology. 120(4). 1824–1839. 6 indexed citations
7.
Gardner, Justin L.. (2014). A case for human systems neuroscience. Neuroscience. 296. 130–137. 6 indexed citations
8.
Merriam, Elisha P., Justin L. Gardner, J. Anthony Movshon, & David J. Heeger. (2013). Modulation of Visual Responses by Gaze Direction in Human Visual Cortex. Journal of Neuroscience. 33(24). 9879–9889. 41 indexed citations
9.
Gardner, Justin L.. (2012). Tristimulus colorimeter calibration matrix uncertainties. Color Research & Application. 38(4). 251–258. 1 indexed citations
10.
Liu, Taosheng, et al.. (2011). Feature-Specific Attentional Priority Signals in Human Cortex. Journal of Neuroscience. 31(12). 4484–4495. 89 indexed citations
11.
Dinstein, Ilan, Justin L. Gardner, Mehrdad Jazayeri, & David J. Heeger. (2008). Executed and Observed Movements Have Different Distributed Representations in Human aIPS. Journal of Neuroscience. 28(44). 11231–11239. 109 indexed citations
12.
Gardner, Justin L., Elisha P. Merriam, J. Anthony Movshon, & David J. Heeger. (2008). Maps of Visual Space in Human Occipital Cortex Are Retinotopic, Not Spatiotopic. Journal of Neuroscience. 28(15). 3988–3999. 152 indexed citations
13.
Gardner, Justin L.. (2003). Uncertainties in interpolated spectral data. Journal of Research of the National Institute of Standards and Technology. 108(1). 69–69. 23 indexed citations
14.
Gardner, Justin L. & Stephen G. Lisberger. (2002). Serial linkage of target selection for orienting and tracking eye movements. Nature Neuroscience. 5(9). 892–899. 44 indexed citations
15.
Gardner, Justin L. & R. B. Frenkel. (1999). Correlation coefficients for tristimulus response value uncertainties. Metrologia. 36(5). 477–480. 9 indexed citations
16.
Gardner, Justin L., et al.. (1998). New basis for the Australian realization of the candela. Metrologia. 35(4). 235–239. 5 indexed citations
17.
Gardner, Justin L. & F. J. Wilkinson. (1997). Angular effects in silicon photodiode responsivity comparisons. Metrologia. 34(2). 111–114. 8 indexed citations
18.
Samson, James A. R. & Justin L. Gardner. (1977). The vibrational energy levels and dissociation energy of O+2 (X 2Πg). The Journal of Chemical Physics. 67(2). 755–758. 23 indexed citations
19.
Gardner, Justin L. & James A. R. Samson. (1975). Photoion and photoelectron spectroscopy of CO and N2. The Journal of Chemical Physics. 62(4). 1447–1452. 70 indexed citations
20.
Gardner, Justin L. & James A. R. Samson. (1975). Collecting efficiency of a cylindrical mirror electron energy analyzer with pre-retarding lens. Journal of Electron Spectroscopy and Related Phenomena. 6(1). 53–60. 29 indexed citations

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.

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