Klaus-Dieter Thoben

About Klaus-Dieter Thoben

Klaus-Dieter Thoben, With an exceptional h-index of 40 and a recent h-index of 31 (since 2020), a distinguished researcher at Universität Bremen, specializes in the field of Product Service Systems, Intelligent Products, Product Lifecycle Management, Engineering Design.

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

Understanding Disruption in the Upstream Segment of the Mineral Supply Chain

Towards Vessel Arrival Time Prediction Through a Deep Neural Network Cluster

Interoperable Information Flow as Enabler for Efficient Predictive Maintenance

ProQualAI: A software to compute qualitative and quantitative product features in process industries using deep learning image processing algorithms

Characteristics of Supply Chain Integration of Manufacturing Firms in Ethiopia

Towards Benchmarking for Evaluating Machine Learning Methods in Detecting Outliers in Process Datasets

Investigating the factors influencing the bridging of dry non-crimp fabric on a concave L-shaped mould in an automated draping process

Modelling the Make Process of the Mineral Supply Chain Upstream Segment

Klaus-Dieter Thoben Information

University

Position

ICT Applications in Engineering Design Production and Logistics BIBA

Citations(all)

10791

Citations(since 2020)

6553

Cited By

6380

hIndex(all)

40

hIndex(since 2020)

31

i10Index(all)

197

i10Index(since 2020)

104

Email

University Profile Page

Google Scholar

Klaus-Dieter Thoben Skills & Research Interests

Product Service Systems

Intelligent Products

Product Lifecycle Management

Engineering Design

Top articles of Klaus-Dieter Thoben

Understanding Disruption in the Upstream Segment of the Mineral Supply Chain

2024/2/14

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Towards Vessel Arrival Time Prediction Through a Deep Neural Network Cluster

2024/2/14

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Interoperable Information Flow as Enabler for Efficient Predictive Maintenance

Analytics

2024/2/1

Quan Deng
Quan Deng

H-Index: 3

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

ProQualAI: A software to compute qualitative and quantitative product features in process industries using deep learning image processing algorithms

SoftwareX

2024/2/1

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Characteristics of Supply Chain Integration of Manufacturing Firms in Ethiopia

2023/12/13

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Towards Benchmarking for Evaluating Machine Learning Methods in Detecting Outliers in Process Datasets

Computers

2023/12/4

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Investigating the factors influencing the bridging of dry non-crimp fabric on a concave L-shaped mould in an automated draping process

Advanced Manufacturing: Polymer & Composites Science

2023/11/20

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Modelling the Make Process of the Mineral Supply Chain Upstream Segment

Resources

2023/11/8

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Smart Product-Service System Definitions and Elements–Relationship to Sustainability

2023/9/14

Jannicke Baalsrud Hauge
Jannicke Baalsrud Hauge

H-Index: 15

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Approach on How to Handle Digital Thread Information in Manufacturing with a Human-Centric Perspective Taking into Account a Didactic Factory

2023/9/14

Patrick Klein
Patrick Klein

H-Index: 3

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Enhancing pipeline-based conversational agents with large language models

arXiv preprint arXiv:2309.03748

2023/9/7

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Dealing with extreme requirement values: What methods to design school chairs and offshore wind turbines have in common

Proceedings of the Design Society

2023/7

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Comparative Analysis of Emissions from Battery Electric Vehicles (BEV) and Internal Combustion Engine Vehicles (ICEV): A Case Study of the UK and China

2023/6/19

Jie Wang
Jie Wang

H-Index: 19

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Challenges of supplying raw material to the locally established leather and leather products manufacturing industry

Ethiopian Journal of Science and Technology

2023/3/8

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Ice prediction for wind turbine rotor blades with time series data and a deep learning approach

Cold Regions Science and Technology

2023/2/1

Michael Freitag
Michael Freitag

H-Index: 44

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

The Faceted and Exploratory Search for Test Knowledge

Information

2023/1/11

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Beate Ehrhardt
Beate Ehrhardt

H-Index: 5

Domain-invariant icing detection on wind turbine rotor blades with generative artificial intelligence for deep transfer learning

Environmental Data Science

2023/1

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

Digital twins: A maturity model for their classification and evaluation

2022/6/27

Towards a Framework to Assess the Impact of Innovative Transportation Technologies

2022/6/19

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

A Statistical Model of Motion Maxima of Offshore Wind Turbine Components During Installation

2022/6/5

Klaus-Dieter Thoben
Klaus-Dieter Thoben

H-Index: 26

See List of Professors in Klaus-Dieter Thoben University(Universität Bremen)

Co-Authors

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