Philippe J. Giabbanelli

Philippe J. Giabbanelli

Miami University

H-index: 26

North America-United States

About Philippe J. Giabbanelli

Philippe J. Giabbanelli, With an exceptional h-index of 26 and a recent h-index of 23 (since 2020), a distinguished researcher at Miami University, specializes in the field of Predictive Simulations, Agent-Based Models, Applied Machine Learning, Computational Public Health.

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

Generative AI for Systems Thinking: Can a GPT Question-Answering System Turn Text into the Causal Maps Produced by Human Readers?

Transitioning from Individuals to Groups in Knowledge Map Construction

Creating FCM models from quantitative data with evolutionary algorithms

Design and Development of a Collaborative Augmented Reality Environment for Systems Science

Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations

Principles of Simulations with FCMs

Big data meets storytelling: using machine learning to predict popular fanfiction

Principles of Simulations with Fuzzy Cognitive Maps

Philippe J. Giabbanelli Information

University

Position

Associate Professor

Citations(all)

2671

Citations(since 2020)

2172

Cited By

1272

hIndex(all)

26

hIndex(since 2020)

23

i10Index(all)

73

i10Index(since 2020)

63

Email

University Profile Page

Google Scholar

Philippe J. Giabbanelli Skills & Research Interests

Predictive Simulations

Agent-Based Models

Applied Machine Learning

Computational Public Health

Top articles of Philippe J. Giabbanelli

Title

Journal

Author(s)

Publication Date

Generative AI for Systems Thinking: Can a GPT Question-Answering System Turn Text into the Causal Maps Produced by Human Readers?

Philippe Giabbanelli

Nathan Witkowicz

2024/1/3

Transitioning from Individuals to Groups in Knowledge Map Construction

Technology, knowledge and learning

Bao Wang

Andrew A Tawfik

Charles Wayne Keene

Philippe J Giabbanelli

2024/3

Creating FCM models from quantitative data with evolutionary algorithms

David Bernard

Philippe J Giabbanelli

2024/1/30

Design and Development of a Collaborative Augmented Reality Environment for Systems Science

Philippe Giabbanelli

Anish Shrestha

Loic Demay

2024/1/3

Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations

SIMULATION

Luke Liang

Hieu Phan

Philippe J Giabbanelli

2024/2/22

Principles of Simulations with FCMs

Gonzalo Nápoles

Philippe J Giabbanelli

2024/1/30

Big data meets storytelling: using machine learning to predict popular fanfiction

Social Network Analysis and Mining

Duy Nguyen

Stephen Zigmond

Samuel Glassco

Bach Tran

Philippe J Giabbanelli

2024/12

Principles of Simulations with Fuzzy Cognitive Maps

Gonzalo Nápoles

Philippe J Giabbanelli

2024

Leveraging Artificial Intelligence and Participatory Modeling to Support Paradigm Shifts in Public Health: An Application to Obesity and Evidence-Based Policymaking

Information

Philippe J Giabbanelli

Grace MacEwan

2024/2

Analysis of Fuzzy Cognitive Maps

Ryan Schuerkamp

Philippe J Giabbanelli

2024/1/30

Systems Thinking and Models in Public Health

Philippe J Giabbanelli

Andrew Page

2024/3/16

Extensions of Fuzzy Cognitive Maps

Ryan Schuerkamp

Philippe J Giabbanelli

2024/1/30

Creating an FCM with Participants in an Interview or Workshop Setting

CB Knox

Kelsi Furman

Antonie Jetter

Steven Gray

Philippe J Giabbanelli

2024/1/30

Narrating Causal Graphs with Large Language Models

arXiv preprint arXiv:2403.07118

Atharva Phatak

Vijay K Mago

Ameeta Agrawal

Aravind Inbasekaran

Philippe J Giabbanelli

2024/3/11

Defining and Using Fuzzy Cognitive Mapping

Philippe J Giabbanelli

CB Knox

Kelsi Furman

Antonie Jetter

Steven Gray

2024/1/30

Hybrid Simulations

Philippe J Giabbanelli

2024/1/30

Fast generation of heterogeneous mental models from longitudinal data by combining genetic algorithms and fuzzy cognitive maps

David Bernard

Sylvain Cussat-Blanc

Philippe Giabbanelli

2023/1/3

On the Necessity of Human Decision-Making Errors to Explain Vaccination Rates for Covid-19: an Agent-Based Modeling Study

Jack T Beerman

Gwendal G Beaumont

Philippe J Giabbanelli

2023/5/23

Simulation models for suicide prevention: a survey of the state-of-the-art

Ryan Schuerkamp

Luke Liang

Ketra L Rice

Philippe J Giabbanelli

2023/6/29

How to combine models? Principles and mechanisms to aggregate fuzzy cognitive maps

Ryan Schuerkamp

Philippe J Giabbanelli

Umberto Grandi

Sylvie Doutre

2023/12/10

See List of Professors in Philippe J. Giabbanelli University(Miami University)

Co-Authors

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