Patrick Altschuh

506 citations
16 papers · 384 · h-index 11

Impact in

    • Surface Modification and Superhydrophobicity
    • Machine Learning in Materials Science
    • Block Copolymer Self-Assembly
    • Pickering emulsions and particle stabilization
    • Solidification and crystal growth phenomena

Papers in

Patrick Altschuh

16 papers receiving 379 citations

Peers

Patrick Altschuh
Comparison fields: 5 of 80
  • Surfaces, Coatings and Films 24
  • Materials Chemistry 129
  • Polymers and Plastics 37
  • Biomedical Engineering 106
  • Automotive Engineering 26
Replace Jintae Park with:
Jintae Park South Korea
Xiong Zheng China
Nick O. Jaensson Netherlands
Xinhao Li China
Weikang Xian United States
Chan Zhang China
Ju Wan Kim South Korea
Carlo Saverio Iorio Belgium
Jianben Liu China
Patrick Altschuh relative to Jintae Park South Korea Jintae Park's profile →
Citations per field
00.5×2.9×
Jintae Park · 1×
Citations per year

Countries citing papers authored by Patrick Altschuh

Since Specialization
Citations

This map shows the geographic impact of Patrick Altschuh'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 Patrick Altschuh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Altschuh more than expected).

Fields of papers citing papers by Patrick Altschuh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Altschuh. 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 Patrick Altschuh. The network helps show where Patrick Altschuh may publish in the future.

Co-authors

The 20 scholars most cited alongside Patrick Altschuh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Altschuh Line = papers co-authored together Patrick Altschuh links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2019146
2 201740
3 201831
4 202028
5 202223
6 202022
7 202320
8 201919
9 202214
10 202312
11 202210
12 20229
13 20235
14 20232
15 20202
16 20241

About Patrick Altschuh

Patrick Altschuh is a scholar working on Materials Chemistry, Civil and Structural Engineering, Mechanical Engineering, Biomedical Engineering and Ocean Engineering, having authored 16 papers that have together received 384 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), Block Copolymer Self-Assembly (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Machine Learning in Materials Science (3 papers), Enhanced Oil Recovery Techniques (3 papers), Pickering emulsions and particle stabilization (2 papers), Cellular and Composite Structures (2 papers) and Asphalt Pavement Performance Evaluation (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (24 citations), Materials Chemistry (129 citations), Polymers and Plastics (37 citations), Biomedical Engineering (106 citations) and Automotive Engineering (26 citations). Patrick Altschuh has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Britta Nestler, Michael Selzer, Fei Wang, Lorenz Ratke, Haodong Zhang, Yuksel C. Yabansu, Johannes Hötzer, Surya R. Kalidindi, Volkmar Thom and Philipp Vana. Their work appears in journals such as Acta Materialia, Journal of Membrane Science, Journal of Sol-Gel Science and Technology, Data Science Journal and Physics of Fluids.

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.

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