Matthias Kind
- Materials Chemistry top 5%
- Computational Mechanics top 1%
- Mechanical Engineering top 2%
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Wilhelm SchabelHolger MartinAlfons MersmannPhilip ScharferB. DietrichBenjamin DietrichIoan MămăligăJulia Große
- Topics
- Crystallization and Solubility Studies (49 papers)Minerals Flotation and Separation Techniques (22 papers)nanoparticles nucleation surface interactions (17 papers)
- Journals
- Chemical Engineering JournalJournal of Colloid and Interface ScienceJournal of Membrane Science
- Partner nations
- GermanyUnited StatesNew Zealand
In The Last Decade
Matthias Kind
169 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 129
- Materials Chemistry 1.1k
- Computational Mechanics 1.0k
- Mechanical Engineering 871
- Biomedical Engineering 842
- Electrical and Electronic Engineering 419
Countries citing papers authored by Matthias Kind
This map shows the geographic impact of Matthias Kind'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 Matthias Kind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Kind more than expected).
Fields of papers citing papers by Matthias Kind
This network shows the impact of papers produced by Matthias Kind. 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 Matthias Kind. The network helps show where Matthias Kind may publish in the future.
Co-authorship network of co-authors of Matthias Kind
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kind. A scholar is included among the top collaborators of Matthias Kind 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 Matthias Kind. Matthias Kind 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 33 | |
| 10 | 23 | |
| 11 | Experimental Investigations of Flow and Mixing in Taylor-Couette Reactor using PIV and LIF Methods | 1 |
| 12 | Ice adhesion in the ice slurry production process. | 1 |
| 13 | 4 | |
| 14 | 57 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 24 | |
| 19 | 13 | |
| 20 | Refocusing chemical engineering | 12 |
About Matthias Kind
Matthias Kind is a scholar working on Filtration and Separation, Water Science and Technology and Computational Mechanics, having authored 176 papers that have together received 3.5k indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (49 papers), Minerals Flotation and Separation Techniques (22 papers) and nanoparticles nucleation surface interactions (17 papers). The work is most often cited by research in Computational Mechanics (1.0k citations), Biomaterials (395 citations) and Water Science and Technology (405 citations). Matthias Kind has collaborated with scholars based in Germany, United States and New Zealand. Frequent co-authors include Wilhelm Schabel, Holger Martin, Alfons Mersmann, Philip Scharfer, B. Dietrich, Benjamin Dietrich, Ioan Mămăligă, Julia Große, Michael Groß and Johann Stichlmair. Their work appears in journals such as Chemical Engineering Journal, Journal of Colloid and Interface Science and Journal of Membrane Science.
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.