World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6029
World Ranking
2218
National Ranking
936

Engineering and Technology

D-Index
40
Citations
6255
World Ranking
7342
National Ranking
2006

Overview

Michael J. Brusco is affiliated with Florida State University in the United States. Their research includes contributions across multiple disciplines, with a focus on experimental and cognitive psychology, statistical and nonlinear physics, and cognitive neuroscience. Additional areas of study include artificial intelligence and molecular biology.

Brusco's work covers a variety of main topics, such as:

  • Mental Health Research Topics
  • Complex Network Analysis Techniques
  • Functional Brain Connectivity Studies
  • Opinion Dynamics and Social Influence
  • Statistics Education and Methodologies
  • Substance Abuse Treatment and Outcomes
  • Bioinformatics and Genomic Networks

The scientist has published frequently in the following venues:

  • Psychological Methods
  • INFORMS Transactions on Education
  • Multivariate Behavioral Research
  • Behavior Research Methods
  • Optimization Letters

Recent papers authored by Michael J. Brusco include:

  • "A comparison of 71 binary similarity coefficients: The effect of base rates" (2021), published in PLoS ONE
  • "A comparison of spectral clustering and the walktrap algorithm for community detection in network psychometrics." (2022), published in Psychological Methods
  • "On maximization of the modularity index in network psychometrics" (2022), published in Behavior Research Methods
  • "Logistic Regression via Excel Spreadsheets: Mechanics, Model Selection, and Relative Predictor Importance" (2021), published in INFORMS Transactions on Education

Other frequently appearing coauthors in Brusco's publications include Douglas Steinley, Ashley L. Watts, Miriam K. Forbes, Zachary P. Neal, and Jennifer Watling Neal.

Among book publications, Brusco has contributed to works published by World Scientific, including "Linear and Nonlinear Optimization using Spreadsheets" (2024).

Best Publications

  • Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques

    Douglas Steinley;Michael J. Brusco

  • Branch-and-Bound Applications in Combinatorial Data Analysis

    Michael J Brusco;Stephanie Stahl

  • Staffing a Multiskilled Workforce with Varying Levels of Productivity: An Analysis of Cross‐training Policies*

    Michael J. Brusco;Tony R. Johns

  • Note: A local-search heuristic for large set-covering problems

    Larry W. Jacobs;Michael J. Brusco

  • Evaluating mixture modeling for clustering: recommendations and cautions.

    Douglas Steinley;Michael J. Brusco

  • A Comparative Evaluation of Labor Tour Scheduling Methods

    Stephen E. Bechtold;Michael J. Brusco;Michael J. Showalter

  • A variable-selection heuristic for K-means clustering

    Michael J. Brusco;J. Dennis Cradit

  • Improving Personnel Scheduling at Airline Stations

    Michael J. Brusco;Larry W. Jacobs;Robert J. Bongiorno;Duane V. Lyons

  • SELECTION OF VARIABLES IN CLUSTER ANALYSIS : AN EMPIRICAL COMPARISON OF EIGHT PROCEDURES

    Douglas Steinley;Michael J. Brusco

  • A simulated annealing approach to the cyclic staff-scheduling problem

    Michael J. Brusco;Larry W. Jacobs

  • Choosing the number of clusters in Κ-means clustering.

    Douglas Steinley;Michael J. Brusco

  • Optimal Models for Meal-Break and Start-Time Flexibility in Continuous Tour Scheduling

    Michael J. Brusco;Larry W. Jacobs

  • Cost analysis of alternative formulations for personnel scheduling in continuously operating organizations

    Michael J. Brusco;Larry W. Jacobs

  • A morphing procedure to supplement a simulated annealing heuristic for cost‐ andcoverage‐correlated set‐covering problems

    Michael J. Brusco;Larry W. Jacobs;Gary M. Thompson

  • Multicriterion Clusterwise Regression for Joint Segmentation Settings: An Application to Customer Value

    Michael J. Brusco;J. Dennis Cradit;Armen Tashchian

  • A New Variable Weighting and Selection Procedure for K-means Cluster Analysis.

    Douglas Steinley;Michael J Brusco

  • A Comparison of Heuristic Procedures for Minimum within-Cluster Sums of Squares Partitioning.

    Michael J. Brusco;Douglas Steinley

  • Personnel Tour Scheduling When Starting-Time Restrictions Are Present

    Michael J. Brusco;Larry W. Jacobs

  • A unified framework for market segmentation and its applications

    Ying Liu;Melody Kiang;Michael Brusco

  • A comparison of latent class, K-means, and K-median methods for clustering dichotomous data.

    Michael J Brusco;Emilie Shireman;Douglas Steinley

  • A Simulated Annealing Approach to the Solution of Flexible Labour Scheduling Problems

    Michael J. Brusco;Larry W. Jacobs

Frequent Co-Authors

Patrick Doreian
Patrick Doreian University of Pittsburgh
Kenneth J. Sher
Kenneth J. Sher University of Missouri
Michael K. Brady
Michael K. Brady Florida State University
Clay M. Voorhees
Clay M. Voorhees University of Alabama
Ronald E. Goldsmith
Ronald E. Goldsmith Florida State University
Stanley Wasserman
Stanley Wasserman Indiana University
Mitchell J. Prinstein
Mitchell J. Prinstein University of North Carolina at Chapel Hill
Sudha Ram
Sudha Ram University of Arizona
Timothy J. Trull
Timothy J. Trull University of Missouri
Charles F. Hofacker
Charles F. Hofacker Florida State University

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