Michael Bales

Michael Bales

Cornell University

H-index: 15

North America-United States

About Michael Bales

Michael Bales, With an exceptional h-index of 15 and a recent h-index of 11 (since 2020), a distinguished researcher at Cornell University, specializes in the field of data mining, social network analysis, natural language processing, SQL, Java.

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

A Retrospective Case Study of Successful Translational Research: Cardiovascular Disease Risk Assessment, Experiences in Community Engagement

WICER Infographics Comprehension Testing, 2015-2017

ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions

56326 Heart to Heart: An Interdisciplinary Community Collaboration to Address Health Disparities Through Cardiovascular Disease Risk Assessments in Underserved Urban Neighborhoods

Social network analysis on verbal violence and bullying behavior in Korean tweets mentioning covid-19

Natural language processing on AI literature to gain insights for culturally appropriate interventions for African American and hispanic alzheimer’s caregivers

5α-Reductase deficiency syndrome: the impact of androgens on gender identity and gender role

Application of topic modeling to tweets as the foundation for health disparity research for COVID-19

Michael Bales Information

University

Position

Research Impact and Evaluation Informationist, Weill Cornell Medicine

Citations(all)

957

Citations(since 2020)

429

Cited By

670

hIndex(all)

15

hIndex(since 2020)

11

i10Index(all)

18

i10Index(since 2020)

11

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Michael Bales Skills & Research Interests

data mining

social network analysis

natural language processing

SQL

Java

Top articles of Michael Bales

Title

Journal

Author(s)

Publication Date

A Retrospective Case Study of Successful Translational Research: Cardiovascular Disease Risk Assessment, Experiences in Community Engagement

Journal of Clinical and Translational Science

Kelli Qua

Shannon Swiatkowski

Umut Gurkan

Clara M Pelfrey

2021

WICER Infographics Comprehension Testing, 2015-2017

Adriana Arcia

Suzanne R Bakken

Niurka M Suero-Tejeda

Sunmoo Yoon

Michael Bales

...

2022

ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions

Plos one

Paul J Albert

Sarbajit Dutta

Jie Lin

Zimeng Zhu

Michael Bales

...

2021/4/1

56326 Heart to Heart: An Interdisciplinary Community Collaboration to Address Health Disparities Through Cardiovascular Disease Risk Assessments in Underserved Urban Neighborhoods

Journal of Clinical and Translational Science

Michael E Bales

Jifeng Zhu

Farid Aboharb

Neville Dusaj

Lior Shtayer

...

2021/3

Social network analysis on verbal violence and bullying behavior in Korean tweets mentioning covid-19

APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24-28)

Michelle Odlum

Haeyoung Lee

Peter Broadwell

Nicole Davis

Michael Bales

...

2020/3/2

Natural language processing on AI literature to gain insights for culturally appropriate interventions for African American and hispanic alzheimer’s caregivers

APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24-28)

Sunmoo Yoon

Peter Broadwell

Nicole Davis

Michael Bales

Amy Zeng

...

2020/10/27

5α-Reductase deficiency syndrome: the impact of androgens on gender identity and gender role

Michael E Bales

Yuan-Shan Zhu

Julianne Imperato-McGinley

2020/1/1

Application of topic modeling to tweets as the foundation for health disparity research for COVID-19

The importance of health informatics in public health during a pandemic

J Mantas

2020/7/24

Bibliometric visualization and analysis software: State of the art, workflows, and best practices

Michael E Bales

Drew N Wright

Peter R Oxley

Terrie R Wheeler

2020

Application of topic modeling to Tweets to learn insights on the African American lived experience of COVID-19

Studies in health technology and informatics

Michelle ODLUM

CHO Hwayoung

Peter BROADWELL

Nicole DAVIS

Maria PATRAO

...

2020/6/6

Applying Artificial Intelligence to Predict Self-Reported Poor Health among Black and Hispanic Caregivers with Mild Cognitive Impairment

Studies in health technology and informatics

YOON Sunmoo

Nicole Davis

Michelle Odlum

CHO Hwayoung

Peter Broadwell

...

2020/6/6

Application of social network analysis of COVID-19 related tweets mentioning cannabis and opioids to gain insights for drug abuse research

Studies in health technology and informatics

YOON Sunmoo

Michelle Odlum

Peter Broadwell

Nicole Davis

CHO Hwayoug

...

2020/6/6

See List of Professors in Michael Bales University(Cornell University)

Co-Authors

H-index: 78
Suzanne Bakken

Suzanne Bakken

Columbia University in the City of New York

H-index: 56
Andrew L. Dannenberg

Andrew L. Dannenberg

University of Washington

H-index: 46
John Mantas

John Mantas

National and Kapodistrian University of Athens

H-index: 45
Chunhua Weng

Chunhua Weng

Columbia University in the City of New York

H-index: 31
Carmela Alcantara, Ph.D.

Carmela Alcantara, Ph.D.

Columbia University in the City of New York

H-index: 21
Ajay Kumar

Ajay Kumar

University of Massachusetts Amherst

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