Karin Kniel
- Mechanical Engineering top 10%
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 5%
- Computational Mechanics
- Electrical and Electronic Engineering
- Co-authors
- Frank HärtigMartin SteinAndreas DietzelKlaus‐Dieter SommerMartin PeterekRobert SchmittMichael HeizmannLin Hu
- Topics
- Advanced Measurement and Metrology Techniques (37 papers)Scientific Measurement and Uncertainty Evaluation (19 papers)Advanced Sensor Technologies Research (12 papers)
In The Last Decade
Karin Kniel
41 papers receiving 301 citations
Peers
Comparison fields: 5 of 51
- Mechanical Engineering 250
- Biomedical Engineering 103
- Statistics, Probability and Uncertainty 74
- Computational Mechanics 56
- Electrical and Electronic Engineering 51
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-authorship network of co-authors of Karin Kniel
This figure shows the co-authorship network connecting the top 25 collaborators of Karin Kniel. A scholar is included among the top collaborators of Karin Kniel 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 Karin Kniel. Karin Kniel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 46 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | IMPROVEMENT OF MEASUREMENT ACCURACY BY COMBINED EVALUATION OF CMM AND TRACKING INTERFEROMETER MEASUREMENTS | 1 |
| 20 | Error mapping of large CMMs by sequential multi-lateration using a laser tracker | 4 |
About Karin Kniel
Karin Kniel is a scholar working on Statistics, Probability and Uncertainty, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 44 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (37 papers), Scientific Measurement and Uncertainty Evaluation (19 papers) and Advanced Sensor Technologies Research (12 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (74 citations), Mechanical Engineering (250 citations) and Industrial and Manufacturing Engineering (49 citations). Karin Kniel has collaborated with scholars based in Germany, China and Denmark. Frequent co-authors include Frank Härtig, Martin Stein, Andreas Dietzel, Klaus‐Dieter Sommer, Martin Peterek, Robert Schmitt, Michael Heizmann, Lin Hu, Zhaoyao Shi and S. Büttgenbach. Their work appears in journals such as CIRP Annals, Measurement Science and Technology and Measurement.
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.