Daniel W. Davies
Impact in
- Materials Chemistry top 2%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Magnetism in coordination complexes 7
-
- Advanced Chemical Physics Studies 14
- Atomic and Molecular Physics 4
- Co-authors
- Aron WalshKeith T. ButlerOlexandr IsayevHugh CartwrightJonathan M. SkeltonAdam JacksonJarvist M. FrostAndrew J. Morris
- Journals
- Molecular Physics (8 papers)Chemical Physics Letters (6 papers)Chemistry of Materials (3 papers)Chemical Science (2 papers)Journal of Materials Chemistry C (2 papers)
- Partner nations
- United KingdomSouth KoreaUnited States
In The Last Decade
Daniel W. Davies
46 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Materials Chemistry 2.6k
- Computational Theory and Mathematics 693
- Metals and Alloys 75
- Catalysis 168
- Physical and Theoretical Chemistry 185
Countries citing papers authored by Daniel W. Davies
This map shows the geographic impact of Daniel W. Davies'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 Daniel W. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Davies more than expected).
Fields of papers citing papers by Daniel W. Davies
This network shows the impact of papers produced by Daniel W. Davies. 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 Daniel W. Davies. The network helps show where Daniel W. Davies may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Davies, 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 | 2024 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 40 | |
| 9 | 2018 | 0 | |
| 10 | 2018 | 25 | |
| 11 | Machine learning for molecular and materials science Hit paper breakdown → | 2018 | 3052 |
| 12 | 2018 | 26 | |
| 13 | 2016 | 137 | |
| 14 | 2006 | 11 | |
| 15 | 1983 | 8 | |
| 16 | 1974 | 6 | |
| 17 | 1971 | 14 | |
| 18 | 1969 | 37 | |
| 19 | 1968 | 44 | |
| 20 | 1968 | 11 |
About Daniel W. Davies
Daniel W. Davies is a scholar working on Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics, Materials Chemistry, Inorganic Chemistry and Biophysics, having authored 49 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (14 papers), Machine Learning in Materials Science (11 papers), Electronic and Structural Properties of Oxides (10 papers), Magnetism in coordination complexes (7 papers), X-ray Diffraction in Crystallography (5 papers), Inorganic Fluorides and Related Compounds (4 papers), Atomic and Molecular Physics (4 papers) and Atmospheric Ozone and Climate (4 papers). The work is most often cited by research in Materials Chemistry (2.6k citations), Computational Theory and Mathematics (693 citations), Metals and Alloys (75 citations), Catalysis (168 citations) and Physical and Theoretical Chemistry (185 citations). Daniel W. Davies has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include Aron Walsh, Keith T. Butler, Olexandr Isayev, Hugh Cartwright, Jonathan M. Skelton, Adam Jackson, Jarvist M. Frost, Andrew J. Morris, David O. Scanlon and Artem R. Oganov. Their work appears in journals such as Molecular Physics, Chemical Physics Letters, Chemistry of Materials, Chemical Science and Journal of Materials Chemistry C.
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.