Philipp Niemietz
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- Digital Transformation in Industry 7
- Manufacturing Process and Optimization 5
- Flexible and Reconfigurable Manufacturing Systems 4
- Information Systems top 10%
- Blockchain Technology Applications and Security 5
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- IoT and Edge/Fog Computing 4
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- Advanced machining processes and optimization 6
- Metal Forming Simulation Techniques 4
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- Metallurgy and Material Forming 4
- Co-authors
- Thomas BergsDaniel TrauthKlaus WehrleJan PennekampMartin HenzeChristian BrecherAlexander EppleChristoph Quix
- Cited by
- Industrial and Manufacturing EngineeringInformation SystemsComputer Networks and Communications
- Journals
- IEEE Internet of Things Journal (1 paper)Computational Materials Science (1 paper)Journal of Intelligent Manufacturing (3 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Philipp Niemietz
22 papers receiving 294 citations
Peers
Comparison fields: 5 of 57
- Industrial and Manufacturing Engineering 89
- Information Systems 83
- Computer Networks and Communications 73
- Mechanical Engineering 94
- Management Information Systems 19
Countries citing papers authored by Philipp Niemietz
This map shows the geographic impact of Philipp Niemietz'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 Niemietz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Niemietz more than expected).
Fields of papers citing papers by Philipp Niemietz
This network shows the impact of papers produced by Philipp Niemietz. 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 Niemietz. The network helps show where Philipp Niemietz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philipp Niemietz, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 12 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 34 | |
| 20 | 2018 | 8 |
About Philipp Niemietz
Philipp Niemietz is a scholar working on Industrial and Manufacturing Engineering, Metals and Alloys and Mechanical Engineering, having authored 28 papers that have together received 307 indexed citations. Recurring topics across this work include Digital Transformation in Industry (7 papers), Advanced machining processes and optimization (6 papers), Manufacturing Process and Optimization (5 papers), Blockchain Technology Applications and Security (5 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), IoT and Edge/Fog Computing (4 papers), Metal Forming Simulation Techniques (4 papers) and Metallurgy and Material Forming (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (89 citations), Information Systems (83 citations) and Computer Networks and Communications (73 citations). Philipp Niemietz has collaborated with scholars based in Germany and United States. Frequent co-authors include Thomas Bergs, Daniel Trauth, Klaus Wehrle, Jan Pennekamp, Martin Henze, Christian Brecher, Alexander Epple, Christoph Quix, Rihan Hai and Tobias Meisen. Their work appears in journals such as IEEE Internet of Things Journal, Computational Materials Science and Journal of Intelligent Manufacturing.
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.