Frédéric Thiesse

About Frédéric Thiesse

Frédéric Thiesse, With an exceptional h-index of 34 and a recent h-index of 21 (since 2020), a distinguished researcher at Julius-Maximilians-Universität Würzburg, specializes in the field of Business Analytics, Business Models, Machine Learning, Emerging Technologies, IS Development & Integration.

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

Design of an Explainable Input Control for Cross-Company Federated Learning

Nudging creativity in digital marketing with generative artificial intelligence: Opportunities and limitations

Designing a Method to Nudge Analytics with Artificially Generated Data

Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics

Towards understanding the skill gap in cybersecurity

Tracing down the Value of Co-Creation in Federated AI Ecosystems.

Detecting and understanding textual deepfakes in online reviews

Bedeutung und Nutzen von Predictive Analytics für metallbasierte additive Fertigungssysteme Relevance and benefits of predictive analytics for metal-based additive …

Frédéric Thiesse Information

University

Position

Professor of IS Engineering

Citations(all)

4841

Citations(since 2020)

1701

Cited By

3911

hIndex(all)

34

hIndex(since 2020)

21

i10Index(all)

75

i10Index(since 2020)

42

Email

University Profile Page

Julius-Maximilians-Universität Würzburg

Google Scholar

View Google Scholar Profile

Frédéric Thiesse Skills & Research Interests

Business Analytics

Business Models

Machine Learning

Emerging Technologies

IS Development & Integration

Top articles of Frédéric Thiesse

Title

Journal

Author(s)

Publication Date

Design of an Explainable Input Control for Cross-Company Federated Learning

Christoph Düsing

Marco Röder

Frédéric Thiesse

Philipp Cimiano

2024

Nudging creativity in digital marketing with generative artificial intelligence: Opportunities and limitations

Peter Kowalczyk

Marco Röder

Frédéric Thiesse

2023

Designing a Method to Nudge Analytics with Artificially Generated Data

Peter Kowalczyk

Marco Röder

Janine Rottmann

Frédéric Thiesse

2023

Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics

arXiv preprint arXiv:2212.02622

Peter Kowalczyk

Giacomo Welsch

Frédéric Thiesse

2022/12/5

Towards understanding the skill gap in cybersecurity

Francois Goupil

Pavel Laskov

Irdin Pekaric

Michael Felderer

Alexander Dürr

...

2022/7/7

Tracing down the Value of Co-Creation in Federated AI Ecosystems.

Marco Röder

Peter Kowalczyk

Frédéric Thiesse

2022

Detecting and understanding textual deepfakes in online reviews

Peter Kowalczyk

Marco Röder

Alexander Dürr

Frédéric Thiesse

2022

Bedeutung und Nutzen von Predictive Analytics für metallbasierte additive Fertigungssysteme Relevance and benefits of predictive analytics for metal-based additive …

Proceedings of the 17th Rapid. Tech 3D Conference Erfurt, Germany, 22–23 June 2021

Daniel Beck

Frédéric Thiesse

2021

Exploring Information Systems Curricula: A Text Mining Approach

Business & Information Systems Engineering

Patrick Föll

Frédéric Thiesse

2021/12

Bridging the Gap between Industry Skill demand and University Skill Provision.

Patrick Föll

Marco Röder

Frédéric Thiesse

2021

Catch me if you scan: Data-driven prescriptive modeling for smart store environments

European Journal of Operational Research

Matthias Hauser

Christoph M Flath

Frédéric Thiesse

2021/11/1

Leveraging the Potentials of Federated AI Ecosystems

Marco Röder

Peter Kowalczyk

Frédéric Thiesse

2021

Sharing Economy in der Industrie–Eine Einführung

Axel Winkelmann

Christoph Flath

Frédéric Thiesse

2021/4/25

What can the maker movement teach us about the digitization of creativity?

Communications of the ACM

Sascha Friesike

Frédéric Thiesse

George Kuk

2021/2/22

Sharing Economy in der Industrie: unternehmensübergreifende Auslastung von Produktionskapazitäten am Beispiel der additiven Fertigung

Axel Winkelmann

Christoph M Flath

Frédéric Thiesse

2021

Predicting Fraudulent initial Coin Offerings using Information Extracted from Whitepapers.

Alexander Dürr

Matthias Griebel

Giacomo Welsch

Frédéric Thiesse

2020/5

A Consolidated Business Model Canvas of Blockchain-Based FinTech Startups: Evidence from Initial Coin Offerings.

Giacomo Welsch

Alexander Dürr

Frédéric Thiesse

2020

See List of Professors in Frédéric Thiesse University(Julius-Maximilians-Universität Würzburg)