John S. Pezaris

2.0k total citations · 1 hit paper
25 papers, 1.3k citations indexed

About

John S. Pezaris is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, John S. Pezaris has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 16 papers in Electrical and Electronic Engineering. Recurrent topics in John S. Pezaris's work include Neuroscience and Neural Engineering (20 papers), Advanced Memory and Neural Computing (15 papers) and Neural dynamics and brain function (11 papers). John S. Pezaris is often cited by papers focused on Neuroscience and Neural Engineering (20 papers), Advanced Memory and Neural Computing (15 papers) and Neural dynamics and brain function (11 papers). John S. Pezaris collaborates with scholars based in United States, Greece and Spain. John S. Pezaris's co-authors include Maneesh Sahani, Richard A. Andersen, Bijan Pesaran, Partha P. Mitra, R. Clay Reid, Emad N. Eskandar, Sergey Yurgenson, Prakash Kara, Nathaniel J. Killian and Michael Wehr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and PLoS ONE.

In The Last Decade

John S. Pezaris

24 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Temporal structure in neuronal activity during working memory in macaque parietal cortex

2002 753 citations Bijan Pesaran, John S. Pezaris et al. Nature Neuroscience profile →

Peers

John S. Pezaris

CN

CMN

EEE

MB

BE

Samuel A. Neymotin United States

Henrik Lindén Norway

William H. Bosking United States

Chun-I Yeh United States

Zenas C. Chao Japan

Matthias H. Hennig United Kingdom

Frédéric Chavane France

Marcel Stimberg France

Michael Okun United Kingdom

Cyrille Rossant United Kingdom

Samuel A. Neymotin United States

John S. Pezaris

1.0k ×1.0

CN

708 ×0.8

CMN

227 ×0.7

EEE

118 ×1.2

MB

35 ×0.6

BE

Citations per year, relative to John S. Pezaris John S. Pezaris (= 1×) peers Samuel A. Neymotin

Countries citing papers authored by John S. Pezaris

Since Specialization

Citations

This map shows the geographic impact of John S. Pezaris'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 S. Pezaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Pezaris more than expected).

Fields of papers citing papers by John S. Pezaris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Pezaris. 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 S. Pezaris. The network helps show where John S. Pezaris may publish in the future.

Co-authorship network of co-authors of John S. Pezaris

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Pezaris. A scholar is included among the top collaborators of John S. Pezaris 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 S. Pezaris. John S. Pezaris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pezaris, Elizabeth, et al.. (2023). Attitudes of potential recipients toward emerging visual prosthesis technologies. Scientific Reports. 13(1). 10963–10963. 7 indexed citations

2.

Pezaris, John S., et al.. (2023). The Influence of Phosphene Synchrony in Driving Object Binding in a Simulation of Artificial Vision. Investigative Ophthalmology & Visual Science. 64(15). 5–5.

3.

Moutoussis, Konstantinos, et al.. (2022). Reading text works better than watching videos to improve acuity in a simulation of artificial vision. Scientific Reports. 12(1). 12953–12953. 5 indexed citations

4.

Pezaris, John S., et al.. (2021). Full gaze contingency provides better reading performance than head steering alone in a simulation of prosthetic vision. Scientific Reports. 11(1). 11121–11121. 9 indexed citations

5.

Moleirinho, Susana, Andrew J. Whalen, Shelley I. Fried, & John S. Pezaris. (2021). The impact of synchronous versus asynchronous electrical stimulation in artificial vision. Journal of Neural Engineering. 18(5). 51001–51001. 8 indexed citations

6.

Kimchi, Eyal Y., et al.. (2020). OpBox: Open Source Tools for Simultaneous EEG and EMG Acquisition from Multiple Subjects. eNeuro. 7(5). ENEURO.0212–20.2020. 5 indexed citations

7.

Pezaris, John S., et al.. (2019). Contemporary approaches to visual prostheses. Military Medical Research. 6(1). 19–19. 36 indexed citations

8.

Pezaris, John S., et al.. (2019). Eye Movement Compensation and Spatial Updating in Visual Prosthetics: Mechanisms, Limitations and Future Directions. Frontiers in Systems Neuroscience. 12. 73–73. 27 indexed citations

9.

Pezaris, John S., et al.. (2018). Improvement in reading performance through training with simulated thalamic visual prostheses. Scientific Reports. 8(1). 16310–16310. 10 indexed citations

10.

Killian, Nathaniel J., et al.. (2016). Perceptual learning in a non-human primate model of artificial vision. Scientific Reports. 6(1). 36329–36329. 15 indexed citations

11.

Pezaris, John S., et al.. (2014). Simulation of thalamic prosthetic vision: reading accuracy, speed, and acuity in sighted humans. Frontiers in Human Neuroscience. 8. 816–816. 32 indexed citations

12.

Werblin, Frank S., Daniel Palanker, Daniel L. Rathbun, et al.. (2014). Chapter 7 Restoring Vision to the Blind: Advancements in Vision Aids for the Visually Impaired The Lasker/IRRF Initiative for Innovation in Vision Science. 3 indexed citations

13.

Pezaris, John S., et al.. (2013). Visual Acuity of Simulated Thalamic Visual Prostheses in Normally Sighted Humans. PLoS ONE. 8(9). e73592–e73592. 18 indexed citations

14.

Killian, Nathaniel J., et al.. (2013). Mapping the primate lateral geniculate nucleus: A review of experiments and methods. Journal of Physiology-Paris. 108(1). 3–10. 24 indexed citations

15.

Pezaris, John S. & Emad N. Eskandar. (2009). Getting signals into the brain: visual prosthetics through thalamic microstimulation. Neurosurgical FOCUS. 27(1). E6–E6. 57 indexed citations

16.

Pezaris, John S. & R. Clay Reid. (2008). Simulations of Electrode Placement for a Thalamic Visual Prosthesis. IEEE Transactions on Biomedical Engineering. 56(1). 172–178. 29 indexed citations

17.

Pesaran, Bijan, John S. Pezaris, Maneesh Sahani, Partha P. Mitra, & Richard A. Andersen. (2002). Temporal structure in neuronal activity during working memory in macaque parietal cortex. Nature Neuroscience. 5(8). 805–811. 753 indexed citations breakdown →

18.

Sahani, Maneesh, John S. Pezaris, & RA Andersen. (1998). Tetrode recording in macaque parietal cortex Spike-time structure in the memory-period response. UCL Discovery (University College London). 24. 1141. 1 indexed citations

19.

Sahani, Maneesh, John S. Pezaris, & Richard A. Andersen. (1997). On the Separation of Signals from Neighboring Cells in Tetrode Recordings. CaltechAUTHORS (California Institute of Technology). 10. 222–228. 34 indexed citations

20.

Ward, Steve, et al.. (1993). The NuMesh. 230–239. 6 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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