Karin Eichkorn
- Inorganic Chemistry top 0.5%
- Inorganic Chemistry and Materials 2
- Inorganic Fluorides and Related Compounds 2
- Physical and Theoretical Chemistry top 0.5%
- Advanced Physical and Chemical Molecular Interactions 3
- Organic Chemistry top 0.5%
- Catalysis top 2%
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- Advanced Chemical Physics Studies 4
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- Nanocluster Synthesis and Applications 2
- Machine Learning in Materials Science 1
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- Molecular Sensors and Ion Detection 1
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- Lignin and Wood Chemistry 1
Karin Eichkorn
9 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Inorganic Chemistry 2.4k
- Physical and Theoretical Chemistry 944
- Organic Chemistry 2.8k
- Process Chemistry and Technology 206
- Catalysis 480
Countries citing papers authored by Karin Eichkorn
This map shows the geographic impact of Karin Eichkorn'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 Karin Eichkorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Eichkorn more than expected).
Fields of papers citing papers by Karin Eichkorn
This network shows the impact of papers produced by Karin Eichkorn. 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 Karin Eichkorn. The network helps show where Karin Eichkorn may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Karin Eichkorn, 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 | 1998 | 7 | |
| 2 | 1998 | 34 | |
| 3 | 1998 | 93 | |
| 4 | Auxiliary basis sets for main row atoms and transition metals and their use to approximate Coulomb potentialsbreakdown → | 1997 | 3162 |
| 5 | 1996 | 13 | |
| 6 | Auxiliary basis sets to approximate Coulomb potentialsbreakdown → | 1995 | 2592 |
| 7 | 1995 | 13 | |
| 8 | 1995 | 8 | |
| 9 | Auxiliary basis sets to approximate Coulomb potentials (Chem. Phys. Letters 240 (1995) 283-290)breakdown → | 1995 | 1565 |
About Karin Eichkorn
Karin Eichkorn is a scholar working on Physical and Theoretical Chemistry, Inorganic Chemistry, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 9 papers that have together received 7.5k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (4 papers), Advanced Physical and Chemical Molecular Interactions (3 papers), Nanocluster Synthesis and Applications (2 papers), Inorganic Chemistry and Materials (2 papers), Inorganic Fluorides and Related Compounds (2 papers), Molecular Sensors and Ion Detection (1 paper), Lignin and Wood Chemistry (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Inorganic Chemistry (2.4k citations), Physical and Theoretical Chemistry (944 citations), Organic Chemistry (2.8k citations), Process Chemistry and Technology (206 citations) and Catalysis (480 citations). Karin Eichkorn has collaborated with scholars based in Germany and Austria. Frequent co-authors include Reinhart Ahlrichs, Oliver Treutler, Marco Häser, Florian Weigend, Matthias Ballauff, Peter Klüfers, Uwe Schneider, Stephan Irle, Hans Lischka and Dagmar Loos. Their work appears in journals such as Chemical Physics Letters, The Journal of Chemical Physics, Chemistry - A European Journal, Theoretical Chemistry Accounts and Zeitschrift für anorganische und allgemeine Chemie.
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.