Laura E Barnes

Laura E Barnes

University of Virginia

H-index: 34

North America-United States

About Laura E Barnes

Laura E Barnes, With an exceptional h-index of 34 and a recent h-index of 31 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Ubiquitous computing, medical informatics, robotics, healthcare systems.

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

Web-based interpretation bias training to reduce anxiety: A sequential multiple-assignment randomized trial

SYSTEMS AND METHODS FOR CONTEXT-AWARE ANXIETY INTERVENTIONS

Online cognitive bias modification for interpretation to reduce anxious thinking during the COVID-19 pandemic

Behavioral Engagement and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety

Shifting episodic prediction with online cognitive bias modification: A randomized controlled trial

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis

Assessing Emotion Polyregulation in Daily Life: Who Uses It, When Is It Used, and How Effective Is It?

Designing adaptive passive personal mobile sensing methods using reinforcement learning framework

Laura E Barnes Information

University

Position

___

Citations(all)

6070

Citations(since 2020)

5081

Cited By

2478

hIndex(all)

34

hIndex(since 2020)

31

i10Index(all)

102

i10Index(since 2020)

82

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

Laura E Barnes Skills & Research Interests

Ubiquitous computing

medical informatics

robotics

healthcare systems

Top articles of Laura E Barnes

Title

Journal

Author(s)

Publication Date

Web-based interpretation bias training to reduce anxiety: A sequential multiple-assignment randomized trial

Katharine E Daniel

Jeremy William Eberle

Bethany Teachman

2020/12/3

SYSTEMS AND METHODS FOR CONTEXT-AWARE ANXIETY INTERVENTIONS

2024/2/29

Online cognitive bias modification for interpretation to reduce anxious thinking during the COVID-19 pandemic

Behaviour Research and Therapy

Maria A Larrazabal

Jeremy W Eberle

Angel Vela de la Garza Evia

Mehdi Boukhechba

Daniel H Funk

...

2024/2/1

Behavioral Engagement and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety

AFV de la Garza Evia

JW Eberle

S Baee

EC Wolfe

M Boukhechba

...

2024/3/19

Shifting episodic prediction with online cognitive bias modification: A randomized controlled trial

Clinical Psychological Science

Jeremy W Eberle

Mehdi Boukhechba

Jianhui Sun

Diheng Zhang

Daniel H Funk

...

2023/9

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis

Zhiyuan Wang

Mark Rucker

Emma R Toner

Maria A Larrazabal

Mehdi Boukhechba

...

2023/10/9

Assessing Emotion Polyregulation in Daily Life: Who Uses It, When Is It Used, and How Effective Is It?

Affective Science

Ilana Ladis

Emma R Toner

Alexander R Daros

Katharine E Daniel

Mehdi Boukhechba

...

2023/6

Designing adaptive passive personal mobile sensing methods using reinforcement learning framework

Journal of Ambient Intelligence and Humanized Computing

Lihua Cai

Laura E Barnes

Mehdi Boukhechba

2023/4

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline

Zhiyuan Wang

Mingyue Tang

Maria A Larrazabal

Emma R Toner

Mark Rucker

...

2023/7/24

Detecting social contexts from mobile sensing indicators in virtual interactions with socially anxious individuals

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Zhiyuan Wang

Maria A Larrazabal

Mark Rucker

Emma R Toner

Katharine E Daniel

...

2023/9/27

Minimal effect of messaging on engagement in a digital anxiety intervention.

Professional Psychology: Research and Practice

Alexandra L Silverman

Jennifer M Boggs

Jeremy W Eberle

Megan Baldwin

Henry C Behan

...

2023/6

Relationship Between Interpretation Bias, Racial or Ethnic Identity, and COVID-19 Anxiety

Tylar Nicole Schmitt

Maria A Larrazabal

Jeremy William Eberle

Mehdi Boukhechba

Laura Barnes

...

2023/3/16

Minimal Effect of Culturally Informed Marketing Messages on Engagement With a Digital Anxiety Intervention Among Latinx Individuals

Alexandra Lee Silverman

Ángel F Vela de la Garza

Mehdi Boukhechba

Laura Barnes

Bethany Teachman

2023/9/17

Feasibility and acceptability testing of CommSense: A novel communication technology to enhance health equity in clinician–patient interactions

Digital Health

Virginia LeBaron

Tabor Flickinger

David Ling

Hansung Lee

James Edwards

...

2023/7

Graph neural networks in IoT: A survey

Guimin Dong

Mingyue Tang

Zhiyuan Wang

Jiechao Gao

Sikun Guo

...

2023/4/5

NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes

Information Fusion

Nicholas J Napoli

Chad L Stephens

Kellie D Kennedy

Laura E Barnes

Ezequiel Juarez Garcia

...

2023/3/1

Pilot Feasibility and Acceptability of a Spanish Translation of Web-Based Cognitive Bias Modification for Interpretation Among Spanish-Speaking Latinx Individuals With Anxiety

Alexandra Lee Silverman

Ángel F Vela de la Garza

Maria A Larrazabal

Liza Khutsisvili

Mehdi Boukhechba

...

2023/9/8

Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models

Ezequiel Juarez Garcia

Victoria R Rodrigues

Mehrdad Fazli

Laura E Barnes

Nicholas J Napoli

2023/6/27

Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing

arXiv preprint arXiv:2312.12666

Guimin Dong

Lihua Cai

Mingyue Tang

Laura E Barnes

Mehdi Boukhechba

2023/12/19

Wearable sensor-based multimodal physiological responses of socially anxious individuals across social contexts

arXiv preprint arXiv:2304.01293

Emma R Toner

Mark Rucker

Zhiyuan Wang

Maria A Larrazabal

Lihua Cai

...

2023/4/3

See List of Professors in Laura E Barnes University(University of Virginia)

Co-Authors

H-index: 59
Bethany Teachman

Bethany Teachman

University of Virginia

H-index: 53
KIMON   P   VALAVANIS

KIMON P VALAVANIS

University of Denver

H-index: 30
Jenny Roe

Jenny Roe

University of Virginia

H-index: 24
Rupa S. Valdez

Rupa S. Valdez

University of Virginia

H-index: 23
Kamran Kowsari

Kamran Kowsari

University of California, Los Angeles

H-index: 18
Jennifer Mason Lobo

Jennifer Mason Lobo

University of Virginia

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