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Bahman Moghimi

5 papers hereh-index 9264 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.AP4
  • eess.SY1

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedPredicting Short-Term Uber Demand Using Spatio-Temporal Modeling: A New York City Case Study

9 citations · 12 across the 5 of their papers we have counts for

collaborators
Showing 2022 · stat.APShow all

1 paper · 2 filters

stat.AP2022

Non-Stationary Time Series Model for Station Based Subway Ridership During Covid-19 Pandemic (Case Study: New York City)

Bahman Moghimi, Camille Kamga, Abolfazl Safikhani +2

The COVID-19 pandemic in 2020 has caused sudden shocks in transportation systems, specifically the subway ridership patterns in New York City. Understanding the temporal pattern of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.