Miriam Schleipen

973 total citations
29 papers, 573 citations indexed

About

Miriam Schleipen is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Information Systems. According to data from OpenAlex, Miriam Schleipen has authored 29 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Industrial and Manufacturing Engineering, 3 papers in Management Information Systems and 3 papers in Information Systems. Recurrent topics in Miriam Schleipen's work include Flexible and Reconfigurable Manufacturing Systems (22 papers), Manufacturing Process and Optimization (12 papers) and Digital Transformation in Industry (11 papers). Miriam Schleipen is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (22 papers), Manufacturing Process and Optimization (12 papers) and Digital Transformation in Industry (11 papers). Miriam Schleipen collaborates with scholars based in Germany, France and India. Miriam Schleipen's co-authors include Julius Pfrommer, Rainer Drath, Olaf Sauer, Jürgen Beyerer, Holger Flatt, Arndt Lüder, Jürgen Jasperneite, Nicole Schmidt, Alexander Fay and M. Schenk and has published in prestigious journals such as at - Automatisierungstechnik, HAL (Le Centre pour la Communication Scientifique Directe) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Miriam Schleipen

26 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miriam Schleipen Germany 10 494 77 71 60 55 29 573
Ulrich Epple Germany 11 419 0.8× 100 1.3× 52 0.7× 86 1.4× 70 1.3× 97 563
J. Peschke Germany 10 369 0.7× 54 0.7× 51 0.7× 52 0.9× 35 0.6× 23 461
Somayeh Malakuti Germany 10 380 0.8× 51 0.7× 40 0.6× 48 0.8× 117 2.1× 34 542
Meimei Gao United States 7 182 0.4× 72 0.9× 60 0.8× 53 0.9× 39 0.7× 10 390
Daniel Schütz Germany 14 411 0.8× 55 0.7× 65 0.9× 115 1.9× 30 0.5× 51 569
András Pfeiffer Hungary 16 519 1.1× 143 1.9× 87 1.2× 50 0.8× 26 0.5× 36 684
Peter Göhner Germany 12 350 0.7× 45 0.6× 59 0.8× 69 1.1× 41 0.7× 65 529
Joshua Lubell United States 9 222 0.4× 52 0.7× 43 0.6× 23 0.4× 31 0.6× 36 376
Thomas Bangemann Germany 11 290 0.6× 84 1.1× 35 0.5× 117 1.9× 103 1.9× 27 468
F. Frank Chen United States 9 545 1.1× 102 1.3× 77 1.1× 44 0.7× 76 1.4× 16 650

Countries citing papers authored by Miriam Schleipen

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Schleipen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Schleipen

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

All Works

20 of 20 papers shown
1.
Schleipen, Miriam, et al.. (2022). AutomationML to describe skills of production plants based on the PPR concept. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2 indexed citations
2.
Schleipen, Miriam, et al.. (2017). Towards the modelling of complex communication networks in AutomationML. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 2 indexed citations
3.
Schleipen, Miriam, et al.. (2017). One step towards an industry 4.0 component. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1268–1273. 42 indexed citations
4.
Schleipen, Miriam, et al.. (2016). OPC UA & Industrie 4.0 - Enabling Technology with High Diversity and Variability. Procedia CIRP. 57. 315–320. 83 indexed citations
5.
Pfrommer, Julius, et al.. (2016). Deploying software functionality to manufacturing resources safely at runtime. HAL (Le Centre pour la Communication Scientifique Directe). 1. 1–7. 5 indexed citations
6.
Pfrommer, Julius, et al.. (2016). Towards Flexibility in Future Industrial Manufacturing: A Global Framework for Self-organization of Production Cells. Procedia Computer Science. 83. 1268–1273. 13 indexed citations
7.
Schleipen, Miriam, et al.. (2015). Monitoring and control of flexible transport equipment. at - Automatisierungstechnik. 63(12). 977–991. 4 indexed citations
8.
Schleipen, Miriam, et al.. (2015). Multi-level user and role concept for a secure plug-and-work based on OPC UA and AutomationML. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 20 indexed citations
9.
Schleipen, Miriam, et al.. (2014). Interoperability between OPC UA and AutomationML. Procedia CIRP. 25. 297–304. 78 indexed citations
10.
Fay, Alexander, et al.. (2013). Wie kann man den Engineering-Prozess systematisch verbessern?. 51. 80–85. 2 indexed citations
11.
Fay, Alexander, et al.. (2013). Wie kann man den Engineering-Prozess systematisch verbessern?. atp magazin. 51(01-02). 80–80. 3 indexed citations
12.
Pfrommer, Julius, Miriam Schleipen, & Jürgen Beyerer. (2013). Fähigkeiten adaptiver Produktionsanlagen. atp magazin. 55(11). 42–42. 3 indexed citations
13.
Schleipen, Miriam. (2013). Adaptivität und semantische Interoperabilität von Manufacturing Execution Systemen (MES). Repository KITopen (Karlsruhe Institute of Technology). 9 indexed citations
14.
Pfrommer, Julius, Miriam Schleipen, & Jürgen Beyerer. (2013). PPRS: Production skills and their relation to product, process, and resource. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 75 indexed citations
15.
Pfrommer, Julius, Miriam Schleipen, & Jürgen Beyerer. (2013). Fähigkeiten adaptiver Produktionsanlagen. atp magazin. 55(11). 42–49. 1 indexed citations
16.
Schleipen, Miriam, et al.. (2012). Domain dependant matching of MES knowledge and domain independent mapping of AutomationML models. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7. 1 indexed citations
17.
Schleipen, Miriam & M. Schenk. (2011). Intelligent environment for mechatronic, cross-discipline plant engineering. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2. 1–8. 4 indexed citations
18.
Schleipen, Miriam, et al.. (2010). The CAEX tool suite - User assistance for the use of standardized plant engineering data exchange. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7. 10 indexed citations
19.
Schleipen, Miriam & Rainer Drath. (2009). Three-view-concept for modeling process or manufacturing plants with AutomationML. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 80 indexed citations
20.
Schleipen, Miriam, Rainer Drath, & Olaf Sauer. (2008). The system-independent data exchange format CAEX for supporting an automatic configuration of a production monitoring and control system. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1786–1791. 37 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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