Philipp Gölzer
Impact in
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- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
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- Big Data and Business Intelligence
- Quality and Supply Management
Papers in
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- Digital Transformation in Industry 6
- Flexible and Reconfigurable Manufacturing Systems 6
- Manufacturing Process and Optimization 1
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- Big Data and Business Intelligence 6
- Co-authors
- Albrecht Fritzsche (2 shared papers)Alexander Pflaum (1 shared paper)Michael Amberg (3 shared papers)
- Journals
- Production Planning & Control (1 paper)IEEE Pervasive Computing (1 paper)Zeitschrift für wirtschaftlichen Fabrikbetrieb (1 paper)wt Werkstattstechnik online (1 paper)Procedia CIRP (2 papers)
- Partner nations
- Germany
In The Last Decade
Philipp Gölzer
9 papers receiving 323 citations
Peers
Comparison fields: 5 of 59
- Industrial and Manufacturing Engineering 160
- Management Information Systems 133
- Management of Technology and Innovation 56
- Strategy and Management 87
- Management Science and Operations Research 46
Countries citing papers authored by Philipp Gölzer
This map shows the geographic impact of Philipp Gölzer'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 Philipp Gölzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Gölzer more than expected).
Fields of papers citing papers by Philipp Gölzer
This network shows the impact of papers produced by Philipp Gölzer. 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 Philipp Gölzer. The network helps show where Philipp Gölzer may publish in the future.
Co-authors
The 3 scholars most cited alongside Philipp Gölzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2018 | 64 | |
| 3 | Data Processing Requirements of Industry 4.0 - Use Cases for Big Data Applications | 2015 | 30 |
| 4 | 2015 | 24 | |
| 5 | 2015 | 16 | |
| 6 | 2013 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2015 | 2 | |
| 9 | 2016 | 2 |
About Philipp Gölzer
Philipp Gölzer is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research, Information Systems and Marketing, having authored 9 papers that have together received 339 indexed citations. Recurring topics across this work include Digital Transformation in Industry (6 papers), Big Data and Business Intelligence (6 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Data Quality and Management (2 papers), Digital Innovation in Industries (1 paper), Technology Adoption and User Behaviour (1 paper), Manufacturing Process and Optimization (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (160 citations), Management Information Systems (133 citations), Management of Technology and Innovation (56 citations), Strategy and Management (87 citations) and Management Science and Operations Research (46 citations). Philipp Gölzer has collaborated with scholars based in Germany. Frequent co-authors include Albrecht Fritzsche, Alexander Pflaum and Michael Amberg. Their work appears in journals such as Production Planning & Control, IEEE Pervasive Computing, Zeitschrift für wirtschaftlichen Fabrikbetrieb, wt Werkstattstechnik online 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.