Leaderboards/Technology and Data Analysis

Technology and Data Analysis

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
David Goretzko
Goethe University Frankfurt
2
Chengliang Wang
Australian Catholic University
3
Matthias Carl Laupichler
University Hospital Bonn
4
Weiyi Li
Loughborough University
5
Ilias Papastratis
Information Technologies Institute
6
Mohammed A. M. AlGerafi
Zhejiang Normal University
7
Alaa Mahdi Sahi
University of Wasit
8
Yajun Wang
Dalian Maritime University
9
Yuanshu Fu
Zhaoqing University
10
Xin Tang
East China Normal University

Rising Stars Papers

1
Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy
International Journal of Human-Computer Interaction|2024
269 cit.
2
Education reform and change driven by digital technology: a bibliometric study from a global perspective
Humanities and Social Sciences Communications|2024
212 cit.
3
Empowering education development through AIGC: A systematic literature review
Education and Information Technologies|2024
173 cit.
4
A Study on Factors Influencing Designers’ Behavioral Intention in Using AI-Generated Content for Assisted Design: Perceived Anxiety, Perceived Risk, and UTAUT
International Journal of Human-Computer Interaction|2024
133 cit.
5
Medical students’ AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments
BMC Medical Education|2024
120 cit.
6
AI nutrition recommendation using a deep generative model and ChatGPT
Scientific Reports|2024
120 cit.
7
Can virtual influencers affect purchase intentions in tourism and hospitality e-commerce live streaming? An empirical study in China
International Journal of Contemporary Hospitality Management|2024
79 cit.
8
What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study
Humanities and Social Sciences Communications|2024
65 cit.
9
Factors Influencing University Students' Behavioural Intention to Use Generative Artificial Intelligence for Educational Purposes Based on a Revised <scp>UTAUT2</scp> Model
Journal of Computer Assisted Learning|2024
58 cit.
10
Deconstructing University Learners' Adoption Intention Towards <scp>AIGC</scp> Technology: A Mixed‐Methods Study Using <scp>ChatGPT</scp> as an Example
Journal of Computer Assisted Learning|2025
58 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Philipp Sterner
LMU Klinikum
2
Mustafa Yanartaş
Düzce Üniversitesi
3
Jun‐Ho Huh
Korea Institute of Ocean Science and Technology
4
Pratiq Daya
Curtin University
5
Jan C. Weyerer
German University of Administrative Sciences
6
Il-Hyun Jo
Ewha Womans University
7
Tommy Tanu Wijaya
Beijing Normal University
8
Kosmas Dimitropoulos
Information Technologies Institute
9
Da-Wei Yan
National Central University
10
Patrick Lan
Southern Methodist University

Emerging Leaders Papers

1
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis
Educational and Psychological Measurement|2023
389 cit.
2
Unlocking the Potential: A Comprehensive Evaluation of Augmented Reality and Virtual Reality in Education
Electronics|2023
319 cit.
3
Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements
Sustainability|2024
234 cit.
4
AI nutrition recommendation using a deep generative model and ChatGPT
Scientific Reports|2024
120 cit.
5
Understanding the Factors Influencing Higher Education Students’ Intention to Adopt Artificial Intelligence-Based Robots
IEEE Access|2023
99 cit.
6
Applying the UTAUT Model to Understand Factors Affecting Micro-Lecture Usage by Mathematics Teachers in China
Mathematics|2022
94 cit.
7
Latent Profile Analysis of AI Literacy and Trust in Mathematics Teachers and Their Relations with AI Dependency and 21st-Century Skills
Behavioral Sciences|2024
69 cit.
8
Examining Chinese preservice mathematics teachers’ adoption of AI chatbots for learning: Unpacking perspectives through the UTAUT2 model
Education and Information Technologies|2024
65 cit.
9
Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach
Electronics|2022
60 cit.
10
PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets
Nutrients|2022
56 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Marko Sarstedt
Babeș-Bolyai University
2
H. G. Müller
University of California, Davis
3
Kyungyong Chung
Kyonggi University
4
Stevan J. Arnold
Oregon State University
5
Anna Choi
Seoul Women's University
6
Wai Chan
Chinese University of Hong Kong
7
Mark J. Gierl
University of Alberta
8
Barbara M. Byrne
Imperial College Healthcare NHS Trust
9
Amjad Ali
Hamad bin Khalifa University
10
Roy C. Park
Dongseo University

Current Senior Leaders Papers

1
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Journal of the Academy of Marketing Science|2014
33.7k cit.
2
PLS-SEM: Indeed a Silver Bullet
The Journal of Marketing Theory and Practice|2011
20.9k cit.
3
Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures
Psychology Archives|2003
9k cit.
4
Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance
Long Range Planning|2013
5.1k cit.
5
THE MEASUREMENT OF SELECTION ON CORRELATED CHARACTERS
Evolution|1983
5k cit.
6
PLS-SEM or CB-SEM: updated guidelines on which method to use
International Journal of Multivariate Data Analysis|2017
4k cit.
7
Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance.
Psychological Bulletin|1989
3.8k cit.
8
How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM
Australasian Marketing Journal (AMJ)|2019
2.9k cit.
9
Testing measurement invariance of composites using partial least squares
International Marketing Review|2016
2.8k cit.
10
Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers
Journal of Family Business Strategy|2014
2.1k cit.

Indexing Technology and Data Analysis Reagents

Citation data for reagents in this field is currently compiling.