LabCompass

Julie D. Golomb

Neuroscience · The Ohio State University

Mid career · publishing since 2004Rising activity

Publications

179

Citations

3,767

Est. group size

~12

Recurring co-author estimate

Active years

23

Publishing since 2004

Research summary
AI-generated

Julie D. Golomb studies how the human brain represents visual information, focusing on visual attention, working memory, and object recognition. Her work combines behavioral experiments with neuroimaging methods like EEG to understand how attention and memory can distort or stabilize what we perceive, especially when visual scenes are cluttered with distracting or moving information.

Visual attention and distractionVisual working memoryNeural encoding of visual featuresObject and spatial perceptionEEG-based neural reconstruction methods

Publication output has grown over the last decade, rising from roughly 10-13 papers per year around 2017-2020 to a peak of 22 in 2024, indicating an increasingly active research program.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 15.6/year recently
2017: 11 publications172018: 13 publications182019: 11 publications192020: 10 publications202021: 16 publications212022: 12 publications222023: 19 publications232024: 22 publications22242025: 19 publications252026: 6 publications26
Recent publications
Publishes in
  • Journal of Vision×68
  • bioRxiv (Cold Spring Harbor Laboratory)×9
  • Journal of Experimental Psychology Human Perception & Performance×6
  • Attention Perception & Psychophysics×6
  • Psychonomic Bulletin & Review×5
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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