William T. Scherer

William T. Scherer

University of Virginia

H-index: 28

North America-United States

About William T. Scherer

William T. Scherer, With an exceptional h-index of 28 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Systems thinking, systems analysis/analytics, transportation, systems engineering.

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

Practical Applications of Using Machine Learning to Forecast Market Direction with Efficient Frontier Coefficients

Using machine learning to forecast market direction with efficient frontier coefficients

News Coverage Disparities Between the 2020 Election and January 6th: A Quantitative Look

The Current State and Future Needs of Systems Engineering Education: A Proposed Curriculum *

Chances and Challenges of ChatGPT and Similar Models for Education in M&S

Asset allocation using a Markov process of clustered efficient frontier coefficients states

Forecasting Tangency Portfolios and Investing in the Minimum Euclidean Distance Portfolio to Maximize Out-of-Sample Sharpe Ratios

The SPORT-C Intervention: An Integration of Sports, Case-Based Pedagogy and Systems Thinking Learning

William T. Scherer Information

University

Position

Professor

Citations(all)

3036

Citations(since 2020)

837

Cited By

2466

hIndex(all)

28

hIndex(since 2020)

16

i10Index(all)

57

i10Index(since 2020)

26

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

William T. Scherer Skills & Research Interests

Systems thinking

systems analysis/analytics

transportation

systems engineering

Top articles of William T. Scherer

Title

Journal

Author(s)

Publication Date

Practical Applications of Using Machine Learning to Forecast Market Direction with Efficient Frontier Coefficients

Practical Applications

Nolan Alexander

William Scherer

2024/3/27

Using machine learning to forecast market direction with efficient frontier coefficients

arXiv preprint arXiv:2404.00825

Nolan Alexander

William Scherer

2024/3/31

News Coverage Disparities Between the 2020 Election and January 6th: A Quantitative Look

Ryan Boyer

William Scherer

2023/6/14

The Current State and Future Needs of Systems Engineering Education: A Proposed Curriculum *

Thomas J Gwilliam

Salem T Keleta

Maggie D Salomonsky

Vinay V Vangala

Mia E Varghese

...

2023/4/27

Chances and Challenges of ChatGPT and Similar Models for Education in M&S

Andreas Tolk

Philip Barry

Margaret L Loper

Ghaith Rabadi

William T Scherer

...

2023/12/10

Asset allocation using a Markov process of clustered efficient frontier coefficients states

The Journal of Finance and Data Science

Nolan Alexander

William Scherer

Jamey Thompson

2023/11/1

Forecasting Tangency Portfolios and Investing in the Minimum Euclidean Distance Portfolio to Maximize Out-of-Sample Sharpe Ratios

Engineering Proceedings

Nolan Alexander

William Scherer

2023/6/30

The SPORT-C Intervention: An Integration of Sports, Case-Based Pedagogy and Systems Thinking Learning

arXiv preprint arXiv:2307.11755

Jeffrey Basoah

William Scherer

Karis Boyd-Sinkler

Reid Bailey

2023/6/19

An Understanding of the Vulnerability of Datasets to Disparate Membership Inference Attacks

Journal of Cybersecurity and Privacy

Hunter D Moore

Andrew Stephens

William Scherer

2022/12/14

Golf and GameForge: Innovative Analytics for Recommender Systems

Rachel Kreitzer

Rose Dennis

Steven Wasserman

Zachary Kay

Jerry Lu

...

2022/4/28

Extending the Markowitz model with dimensionality reduction: Forecasting efficient frontiers

Nolan Alexander

William Scherer

Matt Burkett

2021/4/29

The future of livestreaming: Strategy and predictive analysis for future operations of facebook live

Nolan Alexander

David Brenman

John Eshirow

Joshua Rosenblatt

Justin Wolter

...

2021/4/29

Developing Models to Predict Giving Behavior of Nonprofit Donors

Josh Eiland

Clare M Hammonds

Sofia M Ponos

Shawn M Weigand

William T Scherer

2021/4/29

Developing a Recommendation System for Collegiate Golf Recruiting

Michael Bassilios

Ava Jundanian

Joshua Barnard

Vienna Donnelly

Rachel Kreitzer

...

2021/4/29

Exploring Cognitive States: Methods for Detecting Physiological Temporal Fingerprints

Nicholas J Napoli

Mudit Paliwal

Stephen Adams

William T Scherer

Angela R Harrivel

...

2020/1/6

Portfolio design and management through state-based analytics: A probabilistic approach

Cogent Economics & Finance

Matthew W Burkett

William T Scherer

Andrew Todd

2020/1/1

A fundamental misunderstanding of risk: The bias associated with the annualized calculation of standard deviation

Cogent Economics & Finance

Matthew W Burkett

William T Scherer

2020/1/1

Exploring cognitive states: Temporal methods for detecting and characterizing physiological fingerprints

Nicholas Napoli

Stephen Adams

Angela R Harrivel

Chad Stephens

Kellie Kennedy

...

2020

An Interdisciplinary Approach to Sports Analytics in a University Setting

Jacqueline Hoege

Maryanna Lansing

Sarah Nelson

Daniel Ungerleider

Rishab Iyer

...

2020/4/24

Developing state-based recommendation systems for golf training

Kelly Rohrer

Jacob Ziller

Alanna Flores

William Scherer

Christopher Kaylor

...

2020/4/24

See List of Professors in William T. Scherer University(University of Virginia)

Co-Authors

H-index: 43
B. Brian Park

B. Brian Park

University of Virginia

H-index: 40
Michael E. Gorman

Michael E. Gorman

University of Virginia

H-index: 36
Brian L. Smith

Brian L. Smith

University of Virginia

H-index: 34
Christopher Zobel

Christopher Zobel

Virginia Polytechnic Institute and State University

H-index: 32
Stephanie Guerlain

Stephanie Guerlain

University of Virginia

H-index: 31
Peter A Beling

Peter A Beling

University of Virginia

academic-engine