Match tier Confirmed
Presence Current · Arkansas
Last published 2024
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Saima Absar

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Unknown Researcher

2 h-index 4 pubs 16 cited

Biography and Research Information

OverviewAI-generated summary

Saima Absar's research investigates causal discovery from time series data, focusing on methods to identify time-invariant causal structures. Her work explores the application of neural networks and hybrid approaches to uncover these relationships within temporal datasets. Additionally, Absar has conducted pilot studies utilizing activity trackers to identify critically ill subjects, indicating an interest in the application of technology in health monitoring and emergency care.

Metrics

  • h-index: 2
  • Publications: 4
  • Citations: 16

Selected Publications

  • Time Series Causal Discovery Using a Hybrid Method (2024)
    1 citation DOI OpenAlex
  • Neural Time-Invariant Causal Discovery from Time Series Data (2023)
    10 citations DOI OpenAlex
  • 293: UTILIZATION OF ACTIVITY TRACKERS TO IDENTIFY CRITICALLY ILL SUBJECTS: A PILOT STUDY (2022)
    Critical Care Medicine DOI OpenAlex
  • Discovering Time-invariant Causal Structure from Temporal Data (2021)
    4 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

5 Collaborators 3 Institutions 1 Country

Top Collaborators

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