2026 Gary M. Weiss: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12357	11996	5001	4775	75	12770

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

12357

11996

5001

4775

12770

Overview

Gary M. Weiss is affiliated with Fordham University in the United States. Their research spans the fields of Computer Science and Mathematics, with equal contributions in both areas. The scientist's work is distributed among several subfields, including Mathematical Physics, Artificial Intelligence, Information Systems, Computer Science Applications, and Algebra and Number Theory.

Their research topics include:

Spectral Theory in Mathematical Physics
Online Learning and Analytics
Holomorphic and Operator Theory
Matrix Theory and Algorithms
Artificial Intelligence in Healthcare and Education
Advanced Topics in Algebra
Advanced Operator Algebra Research

Their publication record includes papers in diverse venues. Frequent publication venues are:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Scientific Reports
Operators and Matrices
Proceedings of the Annual Hawaii International Conference on System Sciences

Some recent papers authored or co-authored include:

"Gender and culture bias in letters of recommendation for computer science and data science masters programs", 2023, Scientific Reports
"Admissions in the age of AI: detecting AI-generated application materials in higher education", 2024, Scientific Reports
"A machine learning approach to graduate admissions and the role of letters of recommendation", 2023, PLoS ONE
"Generalized Sequential Pattern Mining of Undergraduate Courses", 2022, Zenodo (CERN European Organization for Nuclear Research)
"Matrix splitting and ideals in ᵍ1(ᵍ7)", 2022, Operators and Matrices

The scientist frequently collaborates with others in their field. Frequent co-authors include:

Daniel Leeds
Sasmita Patnaik
Yijun Zhao
Sanehlata

Best Publications

Activity recognition using cell phone accelerometers

Jennifer R. Kwapisz;Gary M. Weiss;Samuel A. Moore

3506
Citations
Mining with rarity: a unifying framework

Gary M. Weiss

1914
Citations
Learning when training data are costly: the effect of class distribution on tree induction

Gary M. Weiss;Foster Provost

1228
Citations
The effect of class distribution on classifier learning

Gary M. Weiss;Foster Provost

575
Citations
The effect of class distribution on classifier learning: an empirical study

Gary M. Weiss;Foster Provost

556
Citations
Cell phone-based biometric identification

Jennifer R. Kwapisz;Gary M. Weiss;Samuel A. Moore

370
Citations
Learning to predict rare events in event sequences

Gary M. Weiss;Haym Hirsh

367
Citations
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction

F. Provost;G. M. Weiss

366
Citations
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?

Gary M. Weiss;Kate McCarthy;Bibi Zabar

348
Citations
Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living

Gary M. Weiss;Kenichi Yoneda;Thaier Hayajneh

344
Citations
Smartwatch-based activity recognition: A machine learning approach

Gary M. Weiss;Jessica L. Timko;Catherine M. Gallagher;Kenichi Yoneda

235
Citations
Does cost-sensitive learning beat sampling for classifying rare classes?

Kate McCarthy;Bibi Zabar;Gary Weiss

234
Citations
The Impact of Personalization on Smartphone-Based Activity Recognition

Gary Mitchell Weiss;Jeffrey Lockhart

223
Citations
Design considerations for the WISDM smart phone-based sensor mining architecture

Jeffrey W. Lockhart;Gary M. Weiss;Jack C. Xue;Shaun T. Gallagher

189
Citations
Smartwatch-based biometric gait recognition

Andrew H. Johnston;Gary M. Weiss

173
Citations
Applications of mobile activity recognition

Jeffrey W. Lockhart;Tony Pulickal;Gary M. Weiss

151
Citations
Data Mining in Telecommunications

Gary M. Weiss

143
Citations
Learning with rare cases and small disjuncts

Gary M. Weiss

140
Citations
Data Mining in the Telecommunications Industry

Gary M. Weiss

124
Citations
A Quantitative Study of Small Disjuncts

Gary M. Weiss;Haym Hirsh

113
Citations
Proceedings of the 2010 International Conference on Data Mining

Robert Stahlbock;Sven F. Crone;Mahmoud Abou-Nasr;Hamid R. Arabnia

62
Citations

Frequent Co-Authors

Haym Hirsh Cornell University

Foster Provost New York University

Zakirul Alam Bhuiyan Fordham University

Tian Wang Beijing Normal University

Hamid R. Arabnia University of Georgia

Stefan Lessmann Humboldt-Universität zu Berlin

Jie Wu Temple University

Guojun Wang Guangzhou University

Stan Matwin Dalhousie University

External Links

Personal website of Gary M. Weiss Google Scholar page

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