Marco Eckhoff
Impact in
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
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- Metal-Organic Frameworks: Synthesis and Applications
Papers in
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- Machine Learning in Materials Science 7
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- Protein Structure and Dynamics 4
- Co-authors
- Jörg Behler (4 shared papers)Markus Reiher (5 shared papers)Peter E. Blöchl (2 shared papers)Ricardo A. Mata (2 shared papers)Marcel Risch (1 shared paper)Cynthia A. Volkert (1 shared paper)D. Schebarchov (1 shared paper)Dominic J. Wales (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (5 papers)Physical review. B. (2 papers)The Journal of Chemical Physics (2 papers)Physical Chemistry Chemical Physics (1 paper)The Chemical Record (1 paper)
- Partner nations
- GermanySwitzerlandDenmark
In The Last Decade
Marco Eckhoff
13 papers receiving 268 citations
Peers
Comparison fields: 5 of 40
- Materials Chemistry 196
- Inorganic Chemistry 47
- Catalysis 19
- Physical and Theoretical Chemistry 24
- Computational Theory and Mathematics 44
Countries citing papers authored by Marco Eckhoff
This map shows the geographic impact of Marco Eckhoff'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 Marco Eckhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Eckhoff more than expected).
Fields of papers citing papers by Marco Eckhoff
This network shows the impact of papers produced by Marco Eckhoff. 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 Marco Eckhoff. The network helps show where Marco Eckhoff may publish in the future.
Co-authors
The 16 scholars most cited alongside Marco Eckhoff, 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 | 100 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 29 | |
| 4 | 2023 | 26 | |
| 5 | 2020 | 20 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 9 | |
| 8 | 2017 | 8 | |
| 9 | 2024 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2025 | 2 |
About Marco Eckhoff
Marco Eckhoff is a scholar working on Materials Chemistry, Molecular Biology, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 13 papers that have together received 268 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Protein Structure and Dynamics (4 papers), Advanced Chemical Physics Studies (3 papers), Computational Drug Discovery Methods (3 papers), Advancements in Battery Materials (2 papers), Crystallography and molecular interactions (2 papers), Nonlinear Optical Materials Research (2 papers) and Advanced Battery Materials and Technologies (1 paper). The work is most often cited by research in Materials Chemistry (196 citations), Inorganic Chemistry (47 citations), Catalysis (19 citations), Physical and Theoretical Chemistry (24 citations) and Computational Theory and Mathematics (44 citations). Marco Eckhoff has collaborated with scholars based in Germany, Switzerland and Denmark. Frequent co-authors include Jörg Behler, Markus Reiher, Peter E. Blöchl, Ricardo A. Mata, Marcel Risch, Cynthia A. Volkert, D. Schebarchov, Dominic J. Wales, Benjamin Schröder and Martin A. Suhm. Their work appears in journals such as Journal of Chemical Theory and Computation, Physical review. B., The Journal of Chemical Physics, Physical Chemistry Chemical Physics and The Chemical Record.
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.