Mats Ahlskog

About Mats Ahlskog

Mats Ahlskog, With an exceptional h-index of 5 and a recent h-index of 4 (since 2020), a distinguished researcher at Mälardalens högskola,

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

Interpretable ML model for quality control of locks using counterfactual explanations

Paradoxes in the Digital Transformation of Production Systems

Enabling an AI-Based Defect Detection Approach to Facilitate Zero Defect Manufacturing

Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application

Remote integration of advanced manufacturing technologies into production systems: integration processes, key challenges and mitigation actions

Sample size prediction for anomaly detection in locks

Approaching digital transformation in the manufacturing industry-challenges and differing views

Adapting the organisational structure for coordinating the digital transformation

Mats Ahlskog Information

University

Position

Researcher at

Citations(all)

99

Citations(since 2020)

76

Cited By

40

hIndex(all)

5

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Top articles of Mats Ahlskog

Interpretable ML model for quality control of locks using counterfactual explanations

2024

Markus Bohlin
Markus Bohlin

H-Index: 14

Mats Ahlskog
Mats Ahlskog

H-Index: 3

Paradoxes in the Digital Transformation of Production Systems

2024

Mats Ahlskog
Mats Ahlskog

H-Index: 3

Anna Granlund
Anna Granlund

H-Index: 6

Enabling an AI-Based Defect Detection Approach to Facilitate Zero Defect Manufacturing

2023/9/14

Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application

Computers in Industry

2023/5/1

Remote integration of advanced manufacturing technologies into production systems: integration processes, key challenges and mitigation actions

Journal of Manufacturing Technology Management

2023/1/20

Sample size prediction for anomaly detection in locks

Procedia CIRP

2023/1/1

Mats Ahlskog
Mats Ahlskog

H-Index: 3

Markus Bohlin
Markus Bohlin

H-Index: 14

Approaching digital transformation in the manufacturing industry-challenges and differing views

International Journal of Manufacturing Research

2023

Adapting the organisational structure for coordinating the digital transformation

2023

Comparison of machine learning’s-and humans’-ability to consistently classify anomalies in cylinder locks

2022/9/19

Markus Bohlin
Markus Bohlin

H-Index: 14

Mats Ahlskog
Mats Ahlskog

H-Index: 3

Differing Views of the Meaning of Digital Transformation in Manufacturing Industry

SPS2022: Proceedings of the 10th Swedish Production Symposium

2022/5/17

Coordination of digital transformation in international manufacturing networks—Challenges and coping mechanisms from an organizational perspective

Sustainability

2022/2/15

Enablers for coordination of digital transformation in international manufacturing networks

2021

Towards Model-Based Performability Evaluation of Production Systems

2020/9/8

Mats Ahlskog
Mats Ahlskog

H-Index: 3

See List of Professors in Mats Ahlskog University(Mälardalens högskola)