Jacob L. Yates

2.4k total citations · 1 hit paper
32 papers, 1.4k citations indexed

About

Jacob L. Yates is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jacob L. Yates has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 6 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jacob L. Yates's work include Neural dynamics and brain function (22 papers), Visual perception and processing mechanisms (17 papers) and Retinal Development and Disorders (5 papers). Jacob L. Yates is often cited by papers focused on Neural dynamics and brain function (22 papers), Visual perception and processing mechanisms (17 papers) and Retinal Development and Disorders (5 papers). Jacob L. Yates collaborates with scholars based in United States, Australia and Italy. Jacob L. Yates's co-authors include Alexander C. Huk, Jonathan W. Pillow, P. Peckol, Jonathan Matthis, Mary Hayhoe, Leor N. Katz, Kenneth W. Latimer, Anthony M. Norcia, Justin M. Ales and Miriam L. R. Meister and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Jacob L. Yates

30 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.

Gaze and the Control of Foot Placement When Walking in Natural Terrain

2018 256 citations Jonathan Matthis, Jacob L. Yates et al. Current Biology profile →

Peers

Jacob L. Yates

CN

OCEAN

CMN

ECOLO

SP

Takashi Kawai Japan

Lore Thaler United Kingdom

Russell L. Martin Australia

Clémentine François France

Axel Kohler Germany

F. Uhl Austria

John H. Mills United States

Jan Drewes Germany

Aureli Soria‐Frisch Spain

Matthew Cieslak United States

Takashi Kawai Japan

Jacob L. Yates

282 ×0.3

CN

232 ×1.0

OCEAN

54 ×0.3

CMN

256 ×2.8

ECOLO

97 ×1.2

SP

Citations per year, relative to Jacob L. Yates Jacob L. Yates (= 1×) peers Takashi Kawai

Countries citing papers authored by Jacob L. Yates

Since Specialization

Citations

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

Fields of papers citing papers by Jacob L. Yates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob L. Yates. 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 Jacob L. Yates. The network helps show where Jacob L. Yates may publish in the future.

Co-authorship network of co-authors of Jacob L. Yates

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

All Works

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20 of 20 papers shown

1.

Yates, Jacob L., et al.. (2024). Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development. 1–7.

2.

Cao, Ruiming, et al.. (2024). Noise2Image: noise-enabled static scene recovery for event cameras. Optica. 12(1). 46–46. 3 indexed citations

3.

Kang, In‐Cheol, et al.. (2024). Is the impact of spontaneous movements on early visual cortex species specific?. Trends in Neurosciences. 48(1). 7–21. 2 indexed citations

4.

Butts, Daniel A., et al.. (2023). Running modulates primate and rodent visual cortex differently. eLife. 12. 1 indexed citations

5.

Parker, Philip R. L., et al.. (2023). A dynamic sequence of visual processing initiated by gaze shifts. Nature Neuroscience. 26(12). 2192–2202. 13 indexed citations

6.

Yates, Jacob L., et al.. (2023). Detailed characterization of neural selectivity in free viewing primates. Nature Communications. 14(1). 3656–3656. 14 indexed citations

7.

Yates, Jacob L., et al.. (2023). Pre-saccadic Neural Enhancements in Marmoset Area MT. Journal of Neuroscience. 44(4). e2034222023–e2034222023.

8.

Kang, In‐Cheol, et al.. (2023). Activity in primate visual cortex is minimally driven by spontaneous movements. Nature Neuroscience. 26(11). 1953–1959. 24 indexed citations

9.

Yates, Jacob L. & Benjamin Scholl. (2022). Unraveling Functional Diversity of Cortical Synaptic Architecture Through the Lens of Population Coding. Frontiers in Synaptic Neuroscience. 14. 888214–888214. 3 indexed citations

10.

Beck, Jeffrey M., et al.. (2021). A confirmation bias in perceptual decision-making due to hierarchical approximate inference. PLoS Computational Biology. 17(11). e1009517–e1009517. 23 indexed citations

11.

Zhao, Yuan, et al.. (2020). Stimulus-choice (mis)alignment in primate area MT. PLoS Computational Biology. 16(5). e1007614–e1007614. 17 indexed citations

12.

Cloherty, Shaun L., et al.. (2019). Motion Perception in the Common Marmoset. Cerebral Cortex. 30(4). 2659–2673. 8 indexed citations

13.

Latimer, Kenneth W., et al.. (2019). Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-Making. Neuron. 102(6). 1249–1258.e10. 29 indexed citations

14.

Matthis, Jonathan, Jacob L. Yates, & Mary Hayhoe. (2018). Gaze and the Control of Foot Placement When Walking in Natural Terrain. Current Biology. 28(8). 1224–1233.e5. 256 indexed citations breakdown →

15.

Katz, Leor N., Jacob L. Yates, Jonathan W. Pillow, & Alexander C. Huk. (2016). Dissociated functional significance of decision-related activity in the primate dorsal stream. Nature. 535(7611). 285–288. 186 indexed citations

16.

Latimer, Kenneth W., Jacob L. Yates, Miriam L. R. Meister, Alexander C. Huk, & Jonathan W. Pillow. (2015). Single-trial spike trains in parietal cortex reveal discrete steps during decision-making. Science. 349(6244). 184–187. 179 indexed citations

17.

Bonnen, Kathryn, Johannes Burge, Jacob L. Yates, Jonathan W. Pillow, & Lawrence K. Cormack. (2015). Continuous psychophysics: Target-tracking to measure visual sensitivity. Journal of Vision. 15(3). 14–14. 52 indexed citations

18.

Yates, Jacob L., Alexander C. Huk, Lawrence K. Cormack, & Jonathan W. Pillow. (2012). Psychophysical reverse correlation of motion perception. Journal of Vision. 12(9). 746–746. 1 indexed citations

19.

Ales, Justin M., Jacob L. Yates, & Anthony M. Norcia. (2012). On determining the intracranial sources of visual evoked potentials from scalp topography: A reply to Kelly et al. (this issue). NeuroImage. 64. 703–711. 31 indexed citations

20.

Ales, Justin M., Jacob L. Yates, & Anthony M. Norcia. (2010). V1 is not uniquely identified by polarity reversals of responses to upper and lower visual field stimuli. NeuroImage. 52(4). 1401–1409. 83 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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