Johannes D. Schmid
- Pollution top 1%
- Industrial and Manufacturing Engineering top 0.5%
- Biomedical Engineering
- Biomaterials top 10%
- Automotive Engineering top 10%
- Co-authors
- Natalia P. IvlevaReinhard NießnerHannes K. ImhofChristian LaforschPhilipp AngerSteffen MarburgKatja HeisterJohannes Uihlein
- Topics
- Acoustic Wave Phenomena Research (9 papers)Model Reduction and Neural Networks (4 papers)Structural Health Monitoring Techniques (3 papers)
In The Last Decade
Johannes D. Schmid
17 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Pollution 871
- Industrial and Manufacturing Engineering 777
- Biomedical Engineering 205
- Biomaterials 180
- Automotive Engineering 101
Countries citing papers authored by Johannes D. Schmid
This map shows the geographic impact of Johannes D. Schmid'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 Johannes D. Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes D. Schmid more than expected).
Fields of papers citing papers by Johannes D. Schmid
This network shows the impact of papers produced by Johannes D. Schmid. 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 Johannes D. Schmid. The network helps show where Johannes D. Schmid may publish in the future.
Co-authorship network of co-authors of Johannes D. Schmid
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes D. Schmid. A scholar is included among the top collaborators of Johannes D. Schmid 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 Johannes D. Schmid. Johannes D. Schmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 380 | |
| 15 | 41 | |
| 16 | 57 | |
| 17 | A novel, highly efficient method for the quantification of plastic particles in sediments of aquatic environments | 1 |
| 18 | A novel, highly efficient method for the separation and quantification of plastic particles in sediments of aquatic environmentsbreakdown → | 518 |
About Johannes D. Schmid
Johannes D. Schmid is a scholar working on Statistical and Nonlinear Physics, Automotive Engineering and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (9 papers), Model Reduction and Neural Networks (4 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (777 citations), Pollution (871 citations) and Biomaterials (180 citations). Johannes D. Schmid has collaborated with scholars based in Germany, Australia and Russia. Frequent co-authors include Natalia P. Ivleva, Reinhard Nießner, Hannes K. Imhof, Christian Laforsch, Philipp Anger, Steffen Marburg, Katja Heister, Johannes Uihlein, М. А. Тимофеев and Henrike Bladt. Their work appears in journals such as Nature Communications, Analytical Chemistry and Water Research.
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.