Peter Pinski
Impact in
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- Crystallography and molecular interactions
- Photochemistry and Electron Transfer Studies
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
Papers in ⓘ
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- Advanced Chemical Physics Studies 9
- Spectroscopy and Quantum Chemical Studies 4
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- Advanced NMR Techniques and Applications 2
- Molecular spectroscopy and chirality 1
- Co-authors
- Frank Neese (8 shared papers)Christoph Riplinger (5 shared papers)Edward F. Valeev (4 shared papers)Ute Becker (2 shared papers)Fabijan Pavošević (2 shared papers)Chong Peng (1 shared paper)Marius Retegan (1 shared paper)Gábor Cśanyi (1 shared paper)
- Journals
- The Journal of Chemical Physics (6 papers)Journal of Chemical Theory and Computation (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Peter Pinski
9 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Physical and Theoretical Chemistry 276
- Atomic and Molecular Physics, and Optics 813
- Computational Mathematics 15
- Catalysis 139
- Inorganic Chemistry 250
Countries citing papers authored by Peter Pinski
This map shows the geographic impact of Peter Pinski'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 Peter Pinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pinski more than expected).
Fields of papers citing papers by Peter Pinski
This network shows the impact of papers produced by Peter Pinski. 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 Peter Pinski. The network helps show where Peter Pinski may publish in the future.
Co-authors
The 12 scholars most cited alongside Peter Pinski, 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 | Sparse maps—A systematic infrastructure for reduced-scaling electronic structure methods. II. Linear scaling domain based pair natural orbital coupled cluster theory Hit paper breakdown → | 2016 | 869 |
| 2 | 2015 | 245 | |
| 3 | 2017 | 130 | |
| 4 | 2016 | 95 | |
| 5 | 2017 | 41 | |
| 6 | 2019 | 39 | |
| 7 | 2018 | 33 | |
| 8 | 2023 | 18 | |
| 9 | 2013 | 13 |
About Peter Pinski
Peter Pinski is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy, Materials Chemistry, Physical and Theoretical Chemistry and Condensed Matter Physics, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (9 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Machine Learning in Materials Science (3 papers), Advanced NMR Techniques and Applications (2 papers), Crystallography and molecular interactions (1 paper), Molecular spectroscopy and chirality (1 paper), Physics of Superconductivity and Magnetism (1 paper) and Perovskite Materials and Applications (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (276 citations), Atomic and Molecular Physics, and Optics (813 citations), Computational Mathematics (15 citations), Catalysis (139 citations) and Inorganic Chemistry (250 citations). Peter Pinski has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Frank Neese, Christoph Riplinger, Edward F. Valeev, Ute Becker, Fabijan Pavošević, Chong Peng, Marius Retegan, Gábor Cśanyi, Manuel Sparta and Hagen Neugebauer. Their work appears in journals such as The Journal of Chemical Physics and Journal of Chemical Theory and Computation.
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.