Fabian Ranz
- Industrial and Manufacturing Engineering top 1%
- Control and Systems Engineering
- Education
- Management of Technology and Innovation top 10%
- Social Psychology
- Co-authors
- Vera HummelWilfried SihnMichael TischJoachim MetternichEberhard AbeleHoda ElMaraghyGeorge ChryssolourisPhilipp Hold
- Topics
- Flexible and Reconfigurable Manufacturing Systems (7 papers)Manufacturing Process and Optimization (4 papers)Digital Transformation in Industry (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement of Technology and InnovationComputer Science Applications
- Journals
- Procedia ManufacturingIFAC-PapersOnLineProcedia CIRP
In The Last Decade
Fabian Ranz
8 papers receiving 431 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Industrial and Manufacturing Engineering 334
- Control and Systems Engineering 58
- Education 49
- Management of Technology and Innovation 46
- Social Psychology 43
Countries citing papers authored by Fabian Ranz
This map shows the geographic impact of Fabian Ranz'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 Fabian Ranz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Ranz more than expected).
Fields of papers citing papers by Fabian Ranz
This network shows the impact of papers produced by Fabian Ranz. 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 Fabian Ranz. The network helps show where Fabian Ranz may publish in the future.
Co-authorship network of co-authors of Fabian Ranz
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Ranz. A scholar is included among the top collaborators of Fabian Ranz 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 Fabian Ranz. Fabian Ranz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | A study on challenges in the implementation of human-robot collaboration | 7 |
| 3 | 109 | |
| 4 | 13 | |
| 5 | Learning Factories for Research, Education, and Trainingbreakdown → | 260 |
| 6 | Learning Factory Morphology - Study of form and structure of an innovative learning approach in the manufacturing domain | 26 |
| 7 | 25 | |
| 8 | Industry 4.0 : challenges for the human factor in future production scenarios | 5 |
About Fabian Ranz
Fabian Ranz is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Information Systems, having authored 8 papers that have together received 473 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (7 papers), Manufacturing Process and Optimization (4 papers) and Digital Transformation in Industry (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (334 citations), Management of Technology and Innovation (46 citations) and Computer Science Applications (24 citations). Fabian Ranz has collaborated with scholars based in Germany, Austria and Greece. Frequent co-authors include Vera Hummel, Wilfried Sihn, Michael Tisch, Joachim Metternich, Eberhard Abele, Hoda ElMaraghy, George Chryssolouris, Philipp Hold and Andreas Jäger. Their work appears in journals such as Procedia Manufacturing, IFAC-PapersOnLine and Procedia CIRP.
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.