Brian Thoms

Brian Thoms

California State University Channel Islands

H-index: 16

North America-United States

About Brian Thoms

Brian Thoms, With an exceptional h-index of 16 and a recent h-index of 10 (since 2020), a distinguished researcher at California State University Channel Islands, specializes in the field of human computer interaction, informatics, design science.

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

Classifying Vaccine Misinformation in Online Social Media Videos using Natural Language Processing and Machine Learning

Task Oriented Reading of Instructional Materials and Its Relationship to Message Scores in Online Learning Conversations

Formation and Action of a Learning Community with Collaborative Learning Software

Determining Link Relevancy in Tweets Related to Multiple Myeloma Using Natural Language Processing

Cluster analysis in online learning communities: A text mining approach

MEASURING THE EFFECTS OF A DYNAMIC SENTIMENT ANALYZER WITHIN ONLINE SOCIAL NETWORKING SOFTWARE DURING COVID-19

A recommender system for healthy food choices: building a hybrid model for recipe recommendations using big data sets

Effects of recommendations on message quality and community formation in online conversations

Brian Thoms Information

University

Position

___

Citations(all)

950

Citations(since 2020)

382

Cited By

694

hIndex(all)

16

hIndex(since 2020)

10

i10Index(all)

18

i10Index(since 2020)

10

Email

University Profile Page

California State University Channel Islands

Google Scholar

View Google Scholar Profile

Brian Thoms Skills & Research Interests

human computer interaction

informatics

design science

Top articles of Brian Thoms

Title

Journal

Author(s)

Publication Date

Classifying Vaccine Misinformation in Online Social Media Videos using Natural Language Processing and Machine Learning

Sarah Schmidt

Brian Thoms

Evren Eryilmaz

Jason Isaacs

2024/1/3

Task Oriented Reading of Instructional Materials and Its Relationship to Message Scores in Online Learning Conversations

Evren Eryilmaz

Brian Thoms

Justin Mary

Rosemary Kim

Jesus Canelon

2016/1/5

Formation and Action of a Learning Community with Collaborative Learning Software

Journal of management information systems

Evren Eryilmaz

Brian Thoms

Zafor Ahmed

Howard Lee

2023/1/2

Determining Link Relevancy in Tweets Related to Multiple Myeloma Using Natural Language Processing

Sean Van Hoven

Brian Thoms

Nathan Botts

2022/1/4

Cluster analysis in online learning communities: A text mining approach

Communications of the Association for Information Systems

Evren Eryilmaz

Brian Thoms

Zafor Ahmed

2022

MEASURING THE EFFECTS OF A DYNAMIC SENTIMENT ANALYZER WITHIN ONLINE SOCIAL NETWORKING SOFTWARE DURING COVID-19

Brian Thoms

Evren Eryilmaz

2022

A recommender system for healthy food choices: building a hybrid model for recipe recommendations using big data sets

Pallavi Chavan

Brian Thoms

Jason Isaacs

2021

Effects of recommendations on message quality and community formation in online conversations

Education and information technologies

Evren Eryilmaz

Brian Thoms

Zafor Ahmed

Kuo-Hao Lee

2021/1

Affordances of recommender Systems for Disorientation in large online conversations

Journal of Computer Information Systems

Evren Eryilmaz

Brian Thoms

Zafor Ahmed

Kuo-Hao Lee

2021/5/4

Congestion Strategies for Clustered Central Place Foraging

Apurva Bharaswadkar

Vida Vakilian

Brian Thoms

Jason T Isaacs

2021/4/28

Real-time visualization to improve quality in computer mediated communication

Web Intelligence

Brian Thoms

Evren Eryilmaz

Nicole Dubin

Rafael Hernandez

Sara Colon-Cerezo

2020/1/1

Integrating learning analytics to measure message quality in large online conversations

Evren Eryilmaz

Brian Thoms

Zafor Ahmed

Avneet Sandhu

2020/1/7

See List of Professors in Brian Thoms University(California State University Channel Islands)