Jesse Gomez

2.4k total citations
31 papers, 1.3k citations indexed

About

Jesse Gomez is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jesse Gomez has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jesse Gomez's work include Face Recognition and Perception (19 papers), Visual perception and processing mechanisms (16 papers) and Neural dynamics and brain function (11 papers). Jesse Gomez is often cited by papers focused on Face Recognition and Perception (19 papers), Visual perception and processing mechanisms (16 papers) and Neural dynamics and brain function (11 papers). Jesse Gomez collaborates with scholars based in United States, Germany and China. Jesse Gomez's co-authors include Kalanit Grill‐Spector, Kevin S. Weiner, Vaidehi Natu, Michael Barnett, Kendrick Kay, Brianna Jeska, Brad Duchaine, Kirsten A. Dalrymple, Zonglei Zhen and Anthony Stigliani and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jesse Gomez

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse Gomez United States 18 1.1k 253 224 223 100 31 1.3k
Zonglei Zhen China 20 1.3k 1.2× 333 1.3× 327 1.5× 155 0.7× 110 1.1× 67 1.6k
Vaidehi Natu United States 20 1.6k 1.4× 344 1.4× 191 0.9× 332 1.5× 149 1.5× 35 1.9k
Thomas Habekost Denmark 22 1.6k 1.4× 267 1.1× 68 0.3× 120 0.5× 167 1.7× 49 1.8k
Melissa Sàenz United States 15 1.4k 1.3× 268 1.1× 121 0.5× 117 0.5× 107 1.1× 27 1.5k
Kate Humphreys United States 16 1.7k 1.5× 374 1.5× 250 1.1× 282 1.3× 167 1.7× 24 2.0k
Yiying Song China 23 1.2k 1.1× 524 2.1× 89 0.4× 198 0.9× 240 2.4× 61 1.5k
Yigal Agam United States 17 976 0.9× 187 0.7× 68 0.3× 52 0.2× 99 1.0× 25 1.1k
Stephanie A. McMains United States 12 1.3k 1.2× 214 0.8× 73 0.3× 136 0.6× 97 1.0× 18 1.4k
David E. Osher United States 12 1.1k 1.0× 156 0.6× 328 1.5× 42 0.2× 69 0.7× 28 1.3k
Kathleen M. O’Craven United States 9 2.4k 2.2× 476 1.9× 271 1.2× 225 1.0× 266 2.7× 13 2.6k

Countries citing papers authored by Jesse Gomez

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Gomez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse Gomez. 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 Jesse Gomez. The network helps show where Jesse Gomez may publish in the future.

Co-authorship network of co-authors of Jesse Gomez

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Gomez. A scholar is included among the top collaborators of Jesse Gomez 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 Jesse Gomez. Jesse Gomez 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.
Uquillas, Federico d’Oleire, Bing Li, Jakob Seidlitz, et al.. (2024). Multimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption. Molecular Psychiatry. 30(4). 1558–1572. 2 indexed citations
2.
Uquillas, Federico d’Oleire, Jakob Seidlitz, Mikhail Kislin, et al.. (2024). The Cerebellum Plays a Protective Role in Cognitive Aging and Disease: Insights from a Multi‐Cohort Study. Alzheimer s & Dementia. 20(S2). 1 indexed citations
3.
Himmelberg, Marc M., et al.. (2023). Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field. Nature Communications. 14(1). 1561–1561. 25 indexed citations
4.
Grotheer, Mareike, et al.. (2022). White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood. Cerebral Cortex. 33(6). 2485–2506. 10 indexed citations
5.
Uquillas, Federico d’Oleire, et al.. (2022). A multifaceted gradient in human cerebellum of structural and functional development. Nature Neuroscience. 25(9). 1129–1133. 22 indexed citations
6.
Weiner, Kevin S. & Jesse Gomez. (2021). Third Visual Pathway, Anatomy, and Cognition across Species. Trends in Cognitive Sciences. 25(7). 548–549. 12 indexed citations
7.
Gomez, Jesse, Zonglei Zhen, & Kevin S. Weiner. (2021). The relationship between transcription and eccentricity in human V1. Brain Structure and Function. 226(9). 2807–2818. 6 indexed citations
8.
Nordt, Marisa, et al.. (2021). Cortical recycling in high-level visual cortex during childhood development. Nature Human Behaviour. 5(12). 1686–1697. 49 indexed citations
9.
Finzi, Dawn, et al.. (2021). Differential spatial computations in ventral and lateral face-selective regions are scaffolded by structural connections. Nature Communications. 12(1). 2278–2278. 34 indexed citations
10.
Natu, Vaidehi, Michael J. Arcaro, Michael Barnett, et al.. (2020). Sulcal Depth in the Medial Ventral Temporal Cortex Predicts the Location of a Place-Selective Region in Macaques, Children, and Adults. Cerebral Cortex. 31(1). 48–61. 29 indexed citations
11.
Voorhies, Willa I., Jesse Gomez, Guo Jiahui, et al.. (2020). ON THE ROLE OF TERTIARY SULCI IN DEVELOPMENTAL PROSOPAGNOSIA. The FASEB Journal. 34(S1). 1–1. 2 indexed citations
12.
Natu, Vaidehi, Jesse Gomez, Michael Barnett, et al.. (2019). Apparent thinning of human visual cortex during childhood is associated with myelination. Proceedings of the National Academy of Sciences. 116(41). 20750–20759. 194 indexed citations
13.
Gomez, Jesse, Zonglei Zhen, & Kevin S. Weiner. (2019). Human visual cortex is organized along two genetically opposed hierarchical gradients with unique developmental and evolutionary origins. PLoS Biology. 17(7). e3000362–e3000362. 25 indexed citations
14.
Nordt, Marisa, Jesse Gomez, Vaidehi Natu, et al.. (2018). Learning to Read Increases the Informativeness of Distributed Ventral Temporal Responses. Cerebral Cortex. 29(7). 3124–3139. 17 indexed citations
15.
Gomez, Jesse, Vaidehi Natu, Brianna Jeska, Michael Barnett, & Kalanit Grill‐Spector. (2018). Development differentially sculpts receptive fields across early and high-level human visual cortex. Nature Communications. 9(1). 86 indexed citations
16.
17.
Weiner, Kevin S., Michael Barnett, Nathan Witthoft, et al.. (2017). Defining the most probable location of the parahippocampal place area using cortex-based alignment and cross-validation. NeuroImage. 170. 373–384. 53 indexed citations
18.
Natu, Vaidehi, et al.. (2016). Development of Neural Sensitivity to Face Identity Correlates with Perceptual Discriminability. Journal of Neuroscience. 36(42). 10893–10907. 55 indexed citations
19.
Gomez, Jesse, Franco Pestilli, Nathan Witthoft, et al.. (2015). Functionally Defined White Matter Reveals Segregated Pathways in Human Ventral Temporal Cortex Associated with Category-Specific Processing. Neuron. 85(1). 216–227. 132 indexed citations
20.
Dalrymple, Kirsten A., Jesse Gomez, & Brad Duchaine. (2013). The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set. PLoS ONE. 8(11). e79131–e79131. 108 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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