ProfessorsProfessors of University of North TexasNicholas Evangelopoulos

Nicholas Evangelopoulos

University of North Texas

H-index: 23

North America-United States

About Nicholas Evangelopoulos

Nicholas Evangelopoulos, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at University of North Texas, specializes in the field of Text Analytics, Decision Support, Statistics, Applied Probability.

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

Effort minimization theory in the data analytics era

Job qualifications study for data science and big data professions

Family firm heterogeneity: A definition, common themes, scholarly progress, and directions forward

Assessing text mining algorithm outcomes

Extracting LSA topics as features for text classifiers across different knowledge domains

Nicholas Evangelopoulos Information

University	University of North Texas
Position	Sr Mgr Data Science 7-Eleven. Formerly Professor of Business Analytics
Citations(all)	3012
Citations(since 2020)	1542
Cited By	2012
hIndex(all)	23
hIndex(since 2020)	19
i10Index(all)	35
i10Index(since 2020)	27
Email	Access Email
University Profile Page	University of North Texas
Google Scholar	View Google Scholar Profile

Nicholas Evangelopoulos Skills & Research Interests

Text Analytics

Decision Support

Statistics

Applied Probability

Top articles of Nicholas Evangelopoulos

Title	Journal	Author(s)	Publication Date
Effort minimization theory in the data analytics era	Journal of Computer Information Systems	Natalie Gerhart Obi Ogbanufe Russell Torres Anna Sidorova Nicholas Evangelopoulos	2022/7/4
Job qualifications study for data science and big data professions	Information Technology & People	Marwah Ahmed Halwani S Yasaman Amirkiaee Nicholas Evangelopoulos Victor Prybutok	2022/3/28
Family firm heterogeneity: A definition, common themes, scholarly progress, and directions forward		Joshua J Daspit James J Chrisman Triss Ashton Nicholas Evangelopoulos	2021/9
Assessing text mining algorithm outcomes	Journal of Business Analytics	Triss Ashton Nicholas Evangelopoulos Audhesh Paswan Victor R Prybutok Robert Pavur	2020/7/2
Extracting LSA topics as features for text classifiers across different knowledge domains	Quality & Quantity	Nicholas Evangelopoulos S Yasaman Amirkiaee	2020/2