Wolfgang Schloegl

465 total citations · 1 hit paper
5 papers, 333 citations indexed

About

Wolfgang Schloegl is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Infectious Diseases. According to data from OpenAlex, Wolfgang Schloegl has authored 5 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 1 paper in Management of Technology and Innovation and 0 papers in Infectious Diseases. Recurrent topics in Wolfgang Schloegl's work include Flexible and Reconfigurable Manufacturing Systems (5 papers), Digital Transformation in Industry (5 papers) and Manufacturing Process and Optimization (4 papers). Wolfgang Schloegl is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (5 papers), Digital Transformation in Industry (5 papers) and Manufacturing Process and Optimization (4 papers). Wolfgang Schloegl collaborates with scholars based in Germany. Wolfgang Schloegl's co-authors include Michael Weyrich, Behrang Ashtari Talkhestani, Nasser Jazdi, Nada Sahlab, Tobias Jung and B. Lindemann and has published in prestigious journals such as at - Automatisierungstechnik, arXiv (Cornell University) and Procedia CIRP.

In The Last Decade

Wolfgang Schloegl

5 papers receiving 321 citations

Hit Papers

An architecture of an Intelligent Digital Twin in a Cyber... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System
    2019 214 citations Behrang Ashtari Talkhestani, Tobias Jung et al. at - Automatisierungstechnik profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wolfgang Schloegl Germany 5 286 37 28 27 27 5 333
Karel Kruger South Africa 8 259 0.9× 39 1.1× 19 0.7× 20 0.7× 26 1.0× 23 317
Behrang Ashtari Talkhestani Germany 8 401 1.4× 46 1.2× 39 1.4× 41 1.5× 31 1.1× 8 470
Angira Sharma United Kingdom 1 180 0.6× 22 0.6× 30 1.1× 24 0.9× 36 1.3× 2 279
Dana Šišmišová Slovakia 4 229 0.8× 23 0.6× 28 1.0× 24 0.9× 19 0.7× 12 284
Flávia Pires Portugal 9 200 0.7× 19 0.5× 30 1.1× 17 0.6× 25 0.9× 15 261
Ján Vachálek Slovakia 6 227 0.8× 22 0.6× 27 1.0× 30 1.1× 18 0.7× 18 286
Yoo Ho Son South Korea 6 247 0.9× 24 0.6× 17 0.6× 22 0.8× 19 0.7× 9 308
Haijun Zhang China 8 226 0.8× 32 0.9× 19 0.7× 17 0.6× 24 0.9× 13 294
Ana Cachada Portugal 6 219 0.8× 31 0.8× 29 1.0× 53 2.0× 23 0.9× 8 325
Jonathan Fuchs Germany 7 214 0.7× 23 0.6× 20 0.7× 22 0.8× 25 0.9× 14 261

Countries citing papers authored by Wolfgang Schloegl

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Schloegl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Schloegl

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

All Works

5 of 5 papers shown
1.
Jazdi, Nasser, et al.. (2022). A methodology for the detection of functional relations of mechatronic components and assemblies in brownfield systems. Procedia CIRP. 107. 119–124. 6 indexed citations
2.
Schloegl, Wolfgang, et al.. (2021). Automated data-driven creation of the Digital Twin of a brownfield plant. arXiv (Cornell University). 1–7. 11 indexed citations
3.
Talkhestani, Behrang Ashtari, et al.. (2020). Qualitative and quantitative evaluation of reconfiguring an automation system using Digital Twin. Procedia CIRP. 93. 268–273. 17 indexed citations
4.
Talkhestani, Behrang Ashtari, Tobias Jung, B. Lindemann, et al.. (2019). An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System. at - Automatisierungstechnik. 67(9). 762–782. 214 indexed citations breakdown →
5.
Talkhestani, Behrang Ashtari, Nasser Jazdi, Wolfgang Schloegl, & Michael Weyrich. (2018). Consistency check to synchronize the Digital Twin of manufacturing automation based on anchor points. Procedia CIRP. 72. 159–164. 85 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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