LabCompass

Guiomar Niso

Neuroscience · Indiana University

Publications

81

Citations

2,674

Est. group size

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Guiomar Niso works in neuroscience with a focus on the methods and data standards used to study human brain activity, particularly brain imaging techniques such as EEG (electroencephalography, which records electrical brain signals), MEG (magnetoencephalography, which records magnetic brain signals), and related recording methods. Much of the recent work develops shared data-organization standards and reporting templates so that brain research can be more transparent and reproducible. This includes tools for describing oscillatory (rhythmic) brain activity and for standardizing how experiments are documented and shared.

Brain imaging data standards (BIDS extensions)EEG/ERP methods and reproducibilityMEG and neural oscillation analysisOpen science and preregistrationFunctional brain connectivity

Publication activity has grown over the last decade, rising from a few papers per year to double digits in recent years, averaging about 9 per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 9.2/year recently
2017: 2 publications172018: 3 publications182019: 7 publications192020: 2 publications202021: 7 publications212022: 7 publications222023: 7 publications232024: 12 publications242025: 7 publications252026: 13 publications1326
Recent publications
Publishes in
  • Scientific Data×5
  • NeuroImage×4
  • UC San Diego×4
  • Frontiers in Neuroscience×3
  • bioRxiv (Cold Spring Harbor Laboratory)×3

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 11, 2026.

Claim or correct this profile