Peter Löw
Impact in
-
- Computational Drug Discovery Methods
-
- Machine Learning in Materials Science
Papers in
-
- Chemical Thermodynamics and Molecular Structure 1
-
- Computational Drug Discovery Methods 3
- Co-authors
- Heinz Saller (3 shared papers)Rudolf Knorr (2 shared papers)Michael G. Hutchings (1 shared paper)Thomas Langer (1 shared paper)Anders Bøgevig (1 shared paper)Hans‐Jürgen Federsel (1 shared paper)Guenter Grethe (1 shared paper)Michael Flynn (1 shared paper)
- Journals
- Analytica Chimica Acta (1 paper)IBM Journal of Research and Development (1 paper)Journal of Chemical Information and Modeling (1 paper)Organic Process Research & Development (1 paper)Inorganic Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Peter Löw
8 papers receiving 221 citations
Peers
Comparison fields: 5 of 45
- Computational Theory and Mathematics 104
- Materials Chemistry 100
- Organic Chemistry 51
- Hardware and Architecture 11
- Inorganic Chemistry 22
Countries citing papers authored by Peter Löw
This map shows the geographic impact of Peter Löw'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 Löw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Löw more than expected).
Fields of papers citing papers by Peter Löw
This network shows the impact of papers produced by Peter Löw. 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 Löw. The network helps show where Peter Löw may publish in the future.
Co-authors
The 11 scholars most cited alongside Peter Löw, 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 | 2015 | 90 | |
| 2 | 2013 | 48 | |
| 3 | 1980 | 36 | |
| 4 | 2007 | 24 | |
| 5 | 1967 | 16 | |
| 6 | 1986 | 9 | |
| 7 | 1961 | 7 | |
| 8 | 1961 | 1 |
About Peter Löw
Peter Löw is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Physical and Theoretical Chemistry, Spectroscopy and Oncology, having authored 8 papers that have together received 231 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Analytical Chemistry and Chromatography (2 papers), Embedded Systems Design Techniques (1 paper), Magnetism in coordination complexes (1 paper), Chemical Thermodynamics and Molecular Structure (1 paper), Crystallography and molecular interactions (1 paper), Various Chemistry Research Topics (1 paper) and Metal complexes synthesis and properties (1 paper). The work is most often cited by research in Computational Theory and Mathematics (104 citations), Materials Chemistry (100 citations), Organic Chemistry (51 citations), Hardware and Architecture (11 citations) and Inorganic Chemistry (22 citations). Peter Löw has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Heinz Saller, Rudolf Knorr, Michael G. Hutchings, Thomas Langer, Anders Bøgevig, Hans‐Jürgen Federsel, Guenter Grethe, Michael Flynn, Péter Dvortsák and Petra Böhrer. Their work appears in journals such as Analytica Chimica Acta, IBM Journal of Research and Development, Journal of Chemical Information and Modeling, Organic Process Research & Development and Inorganic Chemistry.
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.