Jesse Gomez

2.4k citations
31 papers · 1.3k · h-index 18

Impact in

Papers in

Jesse Gomez

31 papers receiving 1.3k citations

Peers

Jesse Gomez
Comparison fields: 5 of 91
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 253
  • Computer Vision and Pattern Recognition 223
  • Radiology, Nuclear Medicine and Imaging 224
  • Sensory Systems 31
Replace Vaidehi Natu with:
Vaidehi Natu United States
Zonglei Zhen China
Mariya V. Cherkasova United States
Thomas Habekost Denmark
Kate Humphreys United States
Henry P. Brent Canada
Lúcia Garrido United Kingdom
Yigal Agam United States
Stephanie A. McMains United States
Melissa Sàenz United States
Jesse Gomez relative to Vaidehi Natu United States Vaidehi Natu's profile →
Citations per field
00.5×1.5×
Vaidehi Natu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jesse Gomez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jesse Gomez Line = papers co-authored together Jesse Gomez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019194
2 2017173
3 2015132
4 2013108
5 2017108
6 201886
7 201655
8 201753
9 202149
10 201948
11 201847
12 201940
13 202134
14 202029
15 202325
16 201925
17 202222
18 201817
19 201816
20 202112

About Jesse Gomez

Jesse Gomez is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology and Biophysics, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face Recognition and Perception (19 papers), Visual perception and processing mechanisms (16 papers), Neural dynamics and brain function (11 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Visual Attention and Saliency Detection (4 papers), Evolutionary Psychology and Human Behavior (3 papers), Face recognition and analysis (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (253 citations), Computer Vision and Pattern Recognition (223 citations), Radiology, Nuclear Medicine and Imaging (224 citations) and Sensory Systems (31 citations). Jesse Gomez has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Kalanit Grill‐Spector, Kevin S. Weiner, Vaidehi Natu, Michael Barnett, Kendrick Kay, Brianna Jeska, Kirsten A. Dalrymple, Brad Duchaine, Zonglei Zhen and Anthony Stigliani. Their work appears in journals such as Journal of Vision, Nature Communications, Cerebral Cortex, NeuroImage and Nature Human Behaviour.

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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