Jonas Friederich

510 total citations
17 papers, 300 citations indexed

About

Jonas Friederich is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jonas Friederich has authored 17 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 8 papers in Management Information Systems and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jonas Friederich's work include Flexible and Reconfigurable Manufacturing Systems (11 papers), Business Process Modeling and Analysis (8 papers) and Digital Transformation in Industry (7 papers). Jonas Friederich is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (11 papers), Business Process Modeling and Analysis (8 papers) and Digital Transformation in Industry (7 papers). Jonas Friederich collaborates with scholars based in Denmark, Germany and Singapore. Jonas Friederich's co-authors include Sanja Lazarova‐Molnar, Deena P. Francis, Nader Mohamed, Giovanni Lugaresi, Andréa Matta, Bernhard Egger, Patrick Zschech, Wentong Cai, Jonas Kristoffer Lindeløv and Boon Ping Gan and has published in prestigious journals such as Computers in Industry, Journal of Manufacturing Systems and The Visual Computer.

In The Last Decade

Jonas Friederich

16 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonas Friederich Denmark 7 208 60 36 30 27 17 300
Marvin Carl May Germany 12 357 1.7× 47 0.8× 26 0.7× 50 1.7× 27 1.0× 54 473
Maria Chiara Magnanini Italy 11 277 1.3× 56 0.9× 44 1.2× 19 0.6× 56 2.1× 30 363
Victor Azamfirei Norway 7 193 0.9× 24 0.4× 32 0.9× 18 0.6× 42 1.6× 13 278
Liyun Xu China 11 261 1.3× 28 0.5× 19 0.5× 31 1.0× 31 1.1× 52 376
Laura Cattaneo Italy 9 232 1.1× 23 0.4× 32 0.9× 49 1.6× 30 1.1× 17 321
Emanuel Trunzer Germany 9 163 0.8× 47 0.8× 22 0.6× 42 1.4× 32 1.2× 28 275
João Sousa Portugal 7 188 0.9× 32 0.5× 27 0.8× 17 0.6× 57 2.1× 16 268
Ana Cachada Portugal 6 219 1.1× 32 0.5× 31 0.9× 53 1.8× 23 0.9× 8 325
Weiguang Fang China 8 177 0.9× 42 0.7× 8 0.2× 32 1.1× 18 0.7× 17 274
Miguel Saez United States 9 150 0.7× 18 0.3× 16 0.4× 62 2.1× 27 1.0× 13 292

Countries citing papers authored by Jonas Friederich

Since Specialization
Citations

This map shows the geographic impact of Jonas Friederich's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonas Friederich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Friederich more than expected).

Fields of papers citing papers by Jonas Friederich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas Friederich. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonas Friederich. The network helps show where Jonas Friederich may publish in the future.

Co-authorship network of co-authors of Jonas Friederich

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Friederich. A scholar is included among the top collaborators of Jonas Friederich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonas Friederich. Jonas Friederich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Friederich, Jonas, et al.. (2025). PySPN: a Python library for stochastic Petri net modeling, simulation, and event log generation. SIMULATION. 102(1). 59–73. 1 indexed citations
2.
Friederich, Jonas & Sanja Lazarova‐Molnar. (2024). Validation of Data-Driven Reliability Models in Manufacturing - Work in Progress. SNE Simulation Notes Europe. 34(3). 163–166. 1 indexed citations
3.
Friederich, Jonas & Sanja Lazarova‐Molnar. (2024). Data-driven reliability assessment of manufacturing systems using process mining. SIMULATION. 101(8). 863–888. 1 indexed citations
4.
Lazarova‐Molnar, Sanja, et al.. (2024). Reliability modeling and simulation: advancements with data-driven techniques and expert knowledge integration. SIMULATION. 101(8). 845–862.
5.
Friederich, Jonas, Jonas Kristoffer Lindeløv, & Sanja Lazarova‐Molnar. (2023). Predictive Process Monitoring for Prediction of Remaining Cycle Time in Automated Manufacturing: A Case Study. University of Southern Denmark Research Portal (University of Southern Denmark). 1–8. 2 indexed citations
6.
Friederich, Jonas, et al.. (2023). Survey and systematization of 3D object detection models and methods. The Visual Computer. 40(3). 1867–1913. 9 indexed citations
7.
Friederich, Jonas, Wentong Cai, Boon Ping Gan, & Sanja Lazarova‐Molnar. (2023). Equipment-centric Data-driven Reliability Assessment of Complex Manufacturing Systems. University of Southern Denmark Research Portal (University of Southern Denmark). 62–72. 3 indexed citations
8.
Friederich, Jonas & Sanja Lazarova‐Molnar. (2023). Reliability assessment of manufacturing systems: A comprehensive overview, challenges and opportunities. Journal of Manufacturing Systems. 72. 38–58. 38 indexed citations
9.
Friederich, Jonas & Sanja Lazarova‐Molnar. (2023). A Framework for Validating Data-Driven Discrete-Event Simulation Models of Cyber-Physical Production Systems. University of Southern Denmark Research Portal (University of Southern Denmark). 2860–2871. 4 indexed citations
10.
Friederich, Jonas & Sanja Lazarova‐Molnar. (2022). Data-Driven Reliability Modeling of Smart Manufacturing Systems Using Process Mining. 2022 Winter Simulation Conference (WSC). 2534–2545. 8 indexed citations
11.
Friederich, Jonas, et al.. (2022). Vibration Data Analysis for Fault Detection in Manufacturing Systems - A Systematic Literature Review. University of Southern Denmark Research Portal (University of Southern Denmark). 2021. 851–857. 3 indexed citations
12.
Friederich, Jonas, Giovanni Lugaresi, Sanja Lazarova‐Molnar, & Andréa Matta. (2022). Process Mining for Dynamic Modeling of Smart Manufacturing Systems: Data Requirements. Procedia CIRP. 107. 546–551. 14 indexed citations
13.
Friederich, Jonas & Sanja Lazarova‐Molnar. (2021). Process Mining for Reliability Modeling of Manufacturing Systems with Limited Data Availability. University of Southern Denmark Research Portal (University of Southern Denmark). 1–7. 3 indexed citations
14.
Friederich, Jonas & Sanja Lazarova‐Molnar. (2021). Towards Data-Driven Reliability Modeling for Cyber-Physical Production Systems. Procedia Computer Science. 184. 589–596. 24 indexed citations
15.
Friederich, Jonas, et al.. (2021). Requirements for Data-Driven Reliability Modeling and Simulation of Smart Manufacturing Systems. University of Southern Denmark Research Portal (University of Southern Denmark). 1–12. 14 indexed citations
16.
Friederich, Jonas, Deena P. Francis, Sanja Lazarova‐Molnar, & Nader Mohamed. (2021). A framework for data-driven digital twins of smart manufacturing systems. Computers in Industry. 136. 103586–103586. 170 indexed citations
17.
Johansen, Aslak, et al.. (2021). A Research Setup Demonstrating Flexible Industry 4.0 Production. University of Southern Denmark Research Portal (University of Southern Denmark). 143–150. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026