Patrick Huck
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- 2D Materials and Applications
- X-ray Diffraction in Crystallography
- MXene and MAX Phase Materials
- Graphene research and applications
- Catalysis top 10%
Papers in
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- Machine Learning in Materials Science 8
- X-ray Diffraction in Crystallography 5
- 2D Materials and Applications 3
- Advanced Thermoelectric Materials and Devices 2
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- Crystallography and molecular interactions 2
- Co-authors
- Kristin A. Persson (12 shared papers)Matthew K. Horton (5 shared papers)Yiming Chen (1 shared paper)Shyue Ping Ong (1 shared paper)Jun Zhou (1 shared paper)Yuan Ping Feng (1 shared paper)Hanmei Tang (1 shared paper)Miguel Dias Costa (1 shared paper)
- Journals
- npj Computational Materials (4 papers)Scientific Data (2 papers)Nuclear Physics A (1 paper)Energy & Environmental Science (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Patrick Huck
15 papers receiving 964 citations
Peers
Comparison fields: 5 of 68
- Materials Chemistry 774
- Catalysis 82
- Inorganic Chemistry 121
- Renewable Energy, Sustainability and the Environment 100
- Electrical and Electronic Engineering 329
Countries citing papers authored by Patrick Huck
This map shows the geographic impact of Patrick Huck'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 Huck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Huck more than expected).
Fields of papers citing papers by Patrick Huck
This network shows the impact of papers produced by Patrick Huck. 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 Huck. The network helps show where Patrick Huck may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Huck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 287 | |
| 2 | 2019 | 153 | |
| 3 | 2019 | 148 | |
| 4 | 2022 | 136 | |
| 5 | 2018 | 131 | |
| 6 | 2024 | 21 | |
| 7 | 2020 | 18 | |
| 8 | 2023 | 18 | |
| 9 | 2015 | 18 | |
| 10 | 2022 | 12 | |
| 11 | 2014 | 12 | |
| 12 | 2024 | 9 | |
| 13 | 2018 | 6 | |
| 14 | 1968 | 5 | |
| 15 | 2021 | 1 |
About Patrick Huck
Patrick Huck is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Catalysis, Spectroscopy and Computer Networks and Communications, having authored 15 papers that have together received 975 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), X-ray Diffraction in Crystallography (5 papers), 2D Materials and Applications (3 papers), Crystallography and molecular interactions (2 papers), Catalysis and Oxidation Reactions (2 papers), Advanced Thermoelectric Materials and Devices (2 papers), Advanced NMR Techniques and Applications (2 papers) and Chalcogenide Semiconductor Thin Films (1 paper). The work is most often cited by research in Materials Chemistry (774 citations), Catalysis (82 citations), Inorganic Chemistry (121 citations), Renewable Energy, Sustainability and the Environment (100 citations) and Electrical and Electronic Engineering (329 citations). Patrick Huck has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kristin A. Persson, Matthew K. Horton, Yiming Chen, Shyue Ping Ong, Jun Zhou, Yuan Ping Feng, Hanmei Tang, Miguel Dias Costa, Lei Shen and Yunhao Lu. Their work appears in journals such as npj Computational Materials, Scientific Data, Nuclear Physics A, Energy & Environmental Science and Chemistry of Materials.
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.