Mirko Kück

635 total citations
19 papers, 449 citations indexed

About

Mirko Kück is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Mirko Kück has authored 19 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 7 papers in Management Science and Operations Research and 3 papers in Signal Processing. Recurrent topics in Mirko Kück's work include Scheduling and Optimization Algorithms (10 papers), Flexible and Reconfigurable Manufacturing Systems (8 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). Mirko Kück is often cited by papers focused on Scheduling and Optimization Algorithms (10 papers), Flexible and Reconfigurable Manufacturing Systems (8 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). Mirko Kück collaborates with scholars based in Germany, Brazil and United Kingdom. Mirko Kück's co-authors include Michael Freitag, Enzo Morosini Frazzon, Maurício Uriona Maldonado, Bernd Scholz‐Reiter, Sven F. Crone, Torsten Hildebrandt, Guilherme Ernani Vieira, Till Becker, Diego Castro Fettermann and Tobias Hildebrandt and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Economics and Sustainability.

In The Last Decade

Mirko Kück

17 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirko Kück Germany 12 288 73 71 45 42 19 449
Jonathan Gaudreault Canada 13 237 0.8× 80 1.1× 183 2.6× 109 2.4× 36 0.9× 50 471
Mukund Subramaniyan Sweden 12 279 1.0× 36 0.5× 128 1.8× 51 1.1× 35 0.8× 16 422
Esmaeil Mehdizadeh Iran 13 264 0.9× 85 1.2× 101 1.4× 83 1.8× 57 1.4× 49 458
Maciek Nowak United States 11 310 1.1× 32 0.4× 67 0.9× 65 1.4× 27 0.6× 19 437
Rui Borges Lopes Portugal 8 219 0.8× 23 0.3× 64 0.9× 65 1.4× 23 0.5× 34 356
Farhad Kianfar Iran 13 231 0.8× 121 1.7× 32 0.5× 20 0.4× 26 0.6× 30 396
Gülesin Sena Daş Türkiye 11 177 0.6× 37 0.5× 15 0.2× 32 0.7× 50 1.2× 23 347
Marc Gravel Canada 13 433 1.5× 51 0.7× 47 0.7× 22 0.5× 100 2.4× 35 600
Yu-Cheng Lin Taiwan 9 103 0.4× 115 1.6× 27 0.4× 52 1.2× 59 1.4× 12 300
H.S. Wang Taiwan 9 70 0.2× 138 1.9× 96 1.4× 95 2.1× 85 2.0× 12 395

Countries citing papers authored by Mirko Kück

Since Specialization
Citations

This map shows the geographic impact of Mirko Kück'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 Mirko Kück with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirko Kück more than expected).

Fields of papers citing papers by Mirko Kück

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mirko Kück. 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 Mirko Kück. The network helps show where Mirko Kück may publish in the future.

Co-authorship network of co-authors of Mirko Kück

This figure shows the co-authorship network connecting the top 25 collaborators of Mirko Kück. A scholar is included among the top collaborators of Mirko Kück 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 Mirko Kück. Mirko Kück is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kück, Mirko, et al.. (2025). A multimodal dataset for process monitoring and anomaly detection in industrial CNC milling. Data in Brief. 63. 112207–112207.
2.
Kück, Mirko, et al.. (2023). Machine Learning Applied to Logistics Decision Making: Improvements to the Soybean Seed Classification Process. Applied Sciences. 13(19). 10904–10904. 2 indexed citations
3.
Fettermann, Diego Castro, et al.. (2022). Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions. Sustainability. 14(20). 13642–13642. 5 indexed citations
4.
Kück, Mirko & Michael Freitag. (2020). Forecasting of customer demands for production planning by local k-nearest neighbor models. International Journal of Production Economics. 231. 107837–107837. 53 indexed citations
5.
Kück, Mirko, et al.. (2018). Potential of a Multi-Agent System Approach for Production Control in Smart Factories. IFAC-PapersOnLine. 51(11). 1459–1464. 29 indexed citations
6.
Frazzon, Enzo Morosini, et al.. (2018). Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era. SHILAP Revista de lepidopterología. 6(4). 107–107. 66 indexed citations
7.
Frazzon, Enzo Morosini, et al.. (2018). Towards a simulation-based optimization approach to integrate supply chain planning and control. Procedia CIRP. 72. 520–525. 13 indexed citations
8.
Frazzon, Enzo Morosini, Mirko Kück, & Michael Freitag. (2018). Data-driven production control for complex and dynamic manufacturing systems. CIRP Annals. 67(1). 515–518. 70 indexed citations
9.
Frazzon, Enzo Morosini, et al.. (2017). Hybrid approach for the integrated scheduling of production and transport processes along supply chains. International Journal of Production Research. 56(5). 2019–2035. 61 indexed citations
10.
Vieira, Guilherme Ernani, Mirko Kück, Enzo Morosini Frazzon, & Michael Freitag. (2017). Evaluating the Robustness of Production Schedules using Discrete-Event Simulation. IFAC-PapersOnLine. 50(1). 7953–7958. 23 indexed citations
11.
Kück, Mirko, et al.. (2017). Towards adaptive simulation-based optimization to select individual dispatching rules for production control. 2017 Winter Simulation Conference (WSC). 3852–3863. 14 indexed citations
12.
Kück, Mirko, et al.. (2017). Adaptive PPS durch simulationsbasierte Optimierung*/Adaptive PPC by simulation-based optimization. wt Werkstattstechnik online. 107(4). 288–292. 1 indexed citations
13.
Kück, Mirko, et al.. (2016). Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems. 2016 Winter Simulation Conference (WSC). 2820–2831. 31 indexed citations
14.
15.
Kück, Mirko, et al.. (2016). A Data-Driven Simulation-Based Optimisation Approach for Adaptive Scheduling and Control of Dynamic Manufacturing Systems. Advanced materials research. 1140. 449–456. 16 indexed citations
16.
Kück, Mirko, Till Becker, & Michael Freitag. (2016). Emergence of Non-predictable Dynamics Caused by Shared Resources in Production Networks. Procedia CIRP. 41. 520–525. 2 indexed citations
17.
Scholz‐Reiter, Bernd, et al.. (2014). Prediction of customer demands for production planning – Automated selection and configuration of suitable prediction methods. CIRP Annals. 63(1). 417–420. 22 indexed citations
18.
Kück, Mirko, Bernd Scholz‐Reiter, & Michael Freitag. (2014). Robust Methods for the Prediction of Customer Demands based on Nonlinear Dynamical Systems. Procedia CIRP. 19. 93–98. 4 indexed citations
19.
Kück, Mirko & Bernd Scholz‐Reiter. (2013). A Genetic Algorithm to Optimize Lazy Learning Parameters for the Prediction of Customer Demands. 160–165. 10 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