Vanessa Frías Martínez

Vanessa Frías Martínez

University of Maryland, Baltimore

H-index: 30

North America-United States

About Vanessa Frías Martínez

Vanessa Frías Martínez, With an exceptional h-index of 30 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Maryland, Baltimore, specializes in the field of Urban Data Science, Human Mobility, Data Science for Social Good, Applied Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparing e-bike and conventional bicycle use patterns in a public bike share system: A case study of Richmond, VA

Auditing the fairness of place-based crime prediction models implemented with deep learning approaches

Analysis of performance improvements and bias associated with the use of human mobility data in covid-19 case prediction models

Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study

A fairness assessment of mobility-based COVID-19 case prediction models

Using COVID-19 vaccine attitudes on Twitter to improve vaccine uptake forecast models in the United States: infodemiology study of Tweets

The BALTO Toolkit-A New Approach to Ethical and Sustainable Data Collection for Equitable Public Transit

Enhancing short-term crime prediction with human mobility flows and deep learning architectures

Vanessa Frías Martínez Information

University

Position

Associate Professor iSchool and UMIACS

Citations(all)

2880

Citations(since 2020)

1424

Cited By

2323

hIndex(all)

30

hIndex(since 2020)

21

i10Index(all)

56

i10Index(since 2020)

39

Email

University Profile Page

University of Maryland, Baltimore

Google Scholar

View Google Scholar Profile

Vanessa Frías Martínez Skills & Research Interests

Urban Data Science

Human Mobility

Data Science for Social Good

Applied Machine Learning

Top articles of Vanessa Frías Martínez

Title

Journal

Author(s)

Publication Date

Comparing e-bike and conventional bicycle use patterns in a public bike share system: A case study of Richmond, VA

Journal of Cycling and Micromobility Research

Yifan Yang

Elliott Sloate

Nashid Khadem

Celeste Chavis

Vanessa Frías-Martínez

2024/4/4

Auditing the fairness of place-based crime prediction models implemented with deep learning approaches

Computers, Environment and Urban Systems

Jiahui Wu

Saad Mohammad Abrar

Naman Awasthi

Vanessa Frías-Martínez

2023/6/1

Analysis of performance improvements and bias associated with the use of human mobility data in covid-19 case prediction models

ACM Journal on Computing and Sustainable Societies

Saad Mohammad Abrar

Naman Awasthi

Daniel Smolyak

Vanessa Frias-Martinez

2023/12/6

Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study

JMIR infodemiology

Nekabari Sigalo

Vanessa Frias-Martinez

2023/11/30

A fairness assessment of mobility-based COVID-19 case prediction models

Plos one

Abdolmajid Erfani

Vanessa Frias-Martinez

2023/10/18

Using COVID-19 vaccine attitudes on Twitter to improve vaccine uptake forecast models in the United States: infodemiology study of Tweets

JMIR infodemiology

Nekabari Sigalo

Naman Awasthi

Saad Mohammad Abrar

Vanessa Frias-Martinez

2023/8/21

The BALTO Toolkit-A New Approach to Ethical and Sustainable Data Collection for Equitable Public Transit

Vanessa Frias-Martinez

Saad Abrar

Naman Awasthi

Sunyup Park

Jessica Vitak

2023/8/16

Enhancing short-term crime prediction with human mobility flows and deep learning architectures

EPJ data science

Jiahui Wu

Saad Mohammad Abrar

Naman Awasthi

Enrique Frias-Martinez

Vanessa Frias-Martinez

2022/12/1

Using social media to predict food deserts in the united states: infodemiology study of tweets

JMIR Public Health and Surveillance

Nekabari Sigalo

Beth St Jean

Vanessa Frias-Martinez

2022/7/5

Framework to Study Migration Decisions Using Call Detail Record (CDR) Data

IEEE Transactions on Computational Social Systems

Viren Dias

Lasantha Fernando

Yusen Lin

Vanessa Frias-Martinez

Louiqa Raschid

2022/6/8

Spatial sensitivity analysis for urban hotspots using cell phone traces

Environment and Planning B: Urban Analytics and City Science

Jiahui Wu

Enrique Frias-Martinez

Vanessa Frias-Martinez

2021/1/13

E-Bikes’ Effect on Mode and Route Choice: A Case Study of Richmond, VA Bike Share

Celeste Chavis

Vanessa Frias Martinez

Equity Center

2021/3/31

Constructing evacuation evolution patterns and decisions using mobile device location data: A case study of hurricane irma

arXiv preprint arXiv:2102.12600

Aref Darzi

Vanessa Frias-Martinez

Sepehr Ghader

Hannah Younes

Lei Zhang

2021/2/24

Causal effect of low-income areas on shared dockless e-scooter use

Transportation research part D: transport and environment

Vanessa Frias-Martinez

Elliott Sloate

Himanshi Manglunia

Jiahui Wu

2021/11/1

Clasificación multiclase y visualización de quejas de organismos oficiales en twitter

TecnoLógicas

Beatriz Hernández-Pajares

Diana Pérez-Marín

Vanessa Frías-Martínez

2020/4

Visualization and Multiclass Classification of Complaints to Official Organisms on Twitter

TecnoLógicas

Beatriz Hernández-Pajares

Diana Pérez-Marín

Vanessa Frías-Martínez

2020/1/30

Modeling and predicting evacuation flows during hurricane Irma

EPJ Data Science

Lingzi Hong

Vanessa Frias-Martinez

2020/12/1

Addressing under-reporting to enhance fairness and accuracy in mobility-based crime prediction

Jiahui Wu

Enrique Frias-Martinez

Vanessa Frias-Martinez

2020/11/3

See List of Professors in Vanessa Frías Martínez University(University of Maryland, Baltimore)