Johan Andersson

Linköping University, Mälardalen University

Papers

4

Total Citations

47

H-Index

4

About

Johan Andersson is a researcher whose work bridges the critical intersection of design optimization and real-time systems engineering, with a particular focus on industrial robotics. His primary research areas include discrete design optimization methods and the temporal analysis of complex, safety-critical systems. Andersson’s most influential contribution is his 2005 paper on "Methods for Discrete Design Optimization," which addresses the challenge of optimizing component-based designs where engineers must choose between discrete alternatives—a problem common in engineering but difficult to solve without interpolation techniques. This work has garnered 19 citations and remains foundational for researchers tackling discrete optimization problems. In parallel, Andersson has made significant strides in real-time systems, notably through his 2004 paper on introducing temporal analyzability late in the lifecycle of complex systems (18 citations). His applied work includes a landmark case study on ABB Robotics’ robot controller, a system comprising 2.5 million lines of code across 15 subsystems, where he demonstrated methods for theoretically verifying timing behavior—a capability previously absent. This practical achievement, documented in his 2002 paper (5 citations), highlights his ability to address real-world industrial challenges, making his research invaluable for engineers developing dependable, high-performance robotic systems.

Research Focus

Key Achievements

4
H-Index
4
Papers
47
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Methods for Discrete Design Optimization
19 citations · 2005
📈 Most Prolific Year: 2004 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Linköping University, Mälardalen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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