Karin Kniel
Impact in
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- Scientific Measurement and Uncertainty Evaluation
- Mechanical Engineering top 10%
- Advanced Measurement and Metrology Techniques
- Advanced machining processes and optimization
- Gear and Bearing Dynamics Analysis
Papers in
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- Advanced Measurement and Metrology Techniques 38
- Advanced machining processes and optimization 9
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- Scientific Measurement and Uncertainty Evaluation 20
- Co-authors
- Frank Härtig (22 shared papers)Martin Stein (15 shared papers)Andreas Dietzel (9 shared papers)Klaus‐Dieter Sommer (2 shared papers)Michael Heizmann (2 shared papers)Robert Schmitt (2 shared papers)Martin Peterek (2 shared papers)Zhaoyao Shi (2 shared papers)
In The Last Decade
Karin Kniel
42 papers receiving 321 citations
Peers
Comparison fields: 5 of 51
- Statistics, Probability and Uncertainty 77
- Mechanical Engineering 253
- Industrial and Manufacturing Engineering 49
- Computational Mechanics 56
- Biomedical Engineering 106
Countries citing papers authored by Karin Kniel
This map shows the geographic impact of Karin Kniel'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 Karin Kniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Kniel more than expected).
Fields of papers citing papers by Karin Kniel
This network shows the impact of papers produced by Karin Kniel. 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 Karin Kniel. The network helps show where Karin Kniel may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Kniel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 46 | |
| 2 | 2010 | 29 | |
| 3 | 2009 | 19 | |
| 4 | 2013 | 18 | |
| 5 | 2014 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2019 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2003 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2012 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2004 | 5 | |
| 20 | 2013 | 5 |
About Karin Kniel
Karin Kniel is a scholar working on Mechanical Engineering, Statistics, Probability and Uncertainty, Biomedical Engineering, Computational Mechanics and Electrical and Electronic Engineering, having authored 45 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (38 papers), Scientific Measurement and Uncertainty Evaluation (20 papers), Advanced Sensor Technologies Research (12 papers), Advanced machining processes and optimization (9 papers), Optical measurement and interference techniques (5 papers), Advanced MEMS and NEMS Technologies (5 papers), Force Microscopy Techniques and Applications (3 papers) and Sensor Technology and Measurement Systems (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (77 citations), Mechanical Engineering (253 citations), Industrial and Manufacturing Engineering (49 citations), Computational Mechanics (56 citations) and Biomedical Engineering (106 citations). Karin Kniel has collaborated with scholars based in Germany, China and Russia. Frequent co-authors include Frank Härtig, Martin Stein, Andreas Dietzel, Klaus‐Dieter Sommer, Michael Heizmann, Robert Schmitt, Martin Peterek, Zhaoyao Shi, Lin Hu and D. Heißelmann. Their work appears in journals such as Measurement Science and Technology, Measurement, Precision Engineering, Metrologia and tm - Technisches Messen.
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.