Mathias Schmitt

1.6k total citations · 2 hit papers
10 papers, 983 citations indexed

About

Mathias Schmitt is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Management of Technology and Innovation. According to data from OpenAlex, Mathias Schmitt has authored 10 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Industrial and Manufacturing Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Management of Technology and Innovation. Recurrent topics in Mathias Schmitt's work include Digital Transformation in Industry (6 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers) and Digital Innovation in Industries (3 papers). Mathias Schmitt is often cited by papers focused on Digital Transformation in Industry (6 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers) and Digital Innovation in Industries (3 papers). Mathias Schmitt collaborates with scholars based in Germany. Mathias Schmitt's co-authors include Dominic Gorecky, Matthias Loskyll, Stephan Weyer, Detlef Zühlke, Gerrit Meixner, Detlef Zuehlke and Fabian Quint and has published in prestigious journals such as IFAC-PapersOnLine, Zeitschrift für wirtschaftlichen Fabrikbetrieb and IFAC Proceedings Volumes.

In The Last Decade

Mathias Schmitt

10 papers receiving 941 citations

Hit Papers

Towards Industry 4.0 - Standardization as the crucial cha... 2014 2026 2018 2022 2015 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Schmitt Germany 5 709 170 109 103 88 10 983
SangSu Choi South Korea 12 990 1.4× 208 1.2× 124 1.1× 230 2.2× 82 0.9× 33 1.3k
Cunbo Zhuang China 14 1.3k 1.8× 146 0.9× 114 1.0× 108 1.0× 100 1.1× 44 1.7k
Detlef Zühlke Germany 9 1.1k 1.5× 431 2.5× 132 1.2× 193 1.9× 79 0.9× 21 1.4k
Hao Luo China 19 998 1.4× 156 0.9× 71 0.7× 158 1.5× 133 1.5× 43 1.3k
Weinan Sha China 5 605 0.9× 105 0.6× 85 0.8× 110 1.1× 97 1.1× 8 895
Ekaterini Vlachou Greece 15 609 0.9× 120 0.7× 107 1.0× 112 1.1× 79 0.9× 19 893
Dimitris Mavrikios Greece 18 753 1.1× 98 0.6× 144 1.3× 95 0.9× 36 0.4× 29 1.4k
Zhiqian Sang China 9 596 0.8× 120 0.7× 82 0.8× 113 1.1× 69 0.8× 18 938
Xiang T.R. Kong China 19 510 0.7× 161 0.9× 63 0.6× 174 1.7× 119 1.4× 56 1.1k

Countries citing papers authored by Mathias Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Schmitt

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

All Works

10 of 10 papers shown
1.
Quint, Fabian, et al.. (2017). Secure Authentication in CPS-based Production Environments. IFAC-PapersOnLine. 50(1). 5907–5913. 6 indexed citations
2.
Schmitt, Mathias, et al.. (2015). Dynamische Funktionsskalierung mittels Apps auf intelligenten Feldgeräten. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 110(1-2). 54–58. 1 indexed citations
3.
Weyer, Stephan, et al.. (2015). Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems. IFAC-PapersOnLine. 48(3). 579–584. 474 indexed citations breakdown →
4.
Schmitt, Mathias, et al.. (2015). Dynamic Reconfiguration of Intelligent Field Devices by using Modular Software Applications. IFAC-PapersOnLine. 48(3). 561–566. 4 indexed citations
5.
Schmitt, Mathias, Matthias Loskyll, & Detlef Zuehlke. (2014). Development of a Framework for Dynamic Function Deployment and Extension by Using Apps on Intelligent Field Devices. IFAC Proceedings Volumes. 47(3). 2611–2616. 7 indexed citations
6.
Gorecky, Dominic, Mathias Schmitt, Matthias Loskyll, & Detlef Zühlke. (2014). Human-machine-interaction in the industry 4.0 era. 289–294. 457 indexed citations breakdown →
7.
Schmitt, Mathias & Detlef Zühlke. (2013). Smartphones und Tablets in der industriellen Produktion. atp magazin. 55(3). 58–58. 2 indexed citations
8.
Schmitt, Mathias, et al.. (2013). SmartMote: A model-based Architecture for context-sensitive User Interfaces in Future Factories. IFAC Proceedings Volumes. 46(15). 24–28. 2 indexed citations
9.
Schmitt, Mathias, et al.. (2013). Mobile Interaction Technologies in the Factory of the Future. IFAC Proceedings Volumes. 46(15). 536–542. 26 indexed citations
10.
Schmitt, Mathias, et al.. (2011). A Concept for a user-friendly first Communication Initiation between Stationary Field Devices and Mobile Interaction Devices. IFAC Proceedings Volumes. 44(1). 1614–1619. 4 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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