Patrick Avery
Impact in
- Geophysics top 10%
- High-pressure geophysics and materials
Papers in
-
- Machine Learning in Materials Science 7
- Enzyme Structure and Function 2
- X-ray Diffraction in Crystallography 2
-
- Crystallography and molecular interactions 3
- Various Chemistry Research Topics 2
- Co-authors
- Eva Zurek (8 shared papers)Zackary Falls (5 shared papers)Andrew Shamp (2 shared papers)Tiange Bi (1 shared paper)Xiaoyu Wang (1 shared paper)Katerina P. Hilleke (1 shared paper)Cormac Toher (1 shared paper)Stefano Curtarolo (1 shared paper)
- Journals
- Computer Physics Communications (5 papers)Microscopy and Microanalysis (2 papers)Nature Communications (1 paper)Journal of the American Chemical Society (1 paper)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- United States
In The Last Decade
Patrick Avery
11 papers receiving 337 citations
Peers
Comparison fields: 5 of 56
- Geophysics 112
- Structural Biology 10
- Physical and Theoretical Chemistry 54
- Condensed Matter Physics 60
- Inorganic Chemistry 69
Countries citing papers authored by Patrick Avery
This map shows the geographic impact of Patrick Avery'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 Patrick Avery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Avery more than expected).
Fields of papers citing papers by Patrick Avery
This network shows the impact of papers produced by Patrick Avery. 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 Patrick Avery. The network helps show where Patrick Avery may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Avery, 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 | 2016 | 91 | |
| 2 | 2020 | 61 | |
| 3 | 2016 | 43 | |
| 4 | 2018 | 40 | |
| 5 | 2022 | 35 | |
| 6 | 2017 | 25 | |
| 7 | 2015 | 25 | |
| 8 | 2020 | 10 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 7 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Patrick Avery
Patrick Avery is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Molecular Biology, Information Systems and Management and Computational Theory and Mathematics, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Crystallography and molecular interactions (3 papers), Enzyme Structure and Function (2 papers), Various Chemistry Research Topics (2 papers), Scientific Computing and Data Management (2 papers), X-ray Diffraction in Crystallography (2 papers), Computational Drug Discovery Methods (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Geophysics (112 citations), Structural Biology (10 citations), Physical and Theoretical Chemistry (54 citations), Condensed Matter Physics (60 citations) and Inorganic Chemistry (69 citations). Patrick Avery has collaborated with scholars based in United States. Frequent co-authors include Eva Zurek, Zackary Falls, Andrew Shamp, Tiange Bi, Xiaoyu Wang, Katerina P. Hilleke, Cormac Toher, Stefano Curtarolo, Jochen Autschbach and David Lonie. Their work appears in journals such as Computer Physics Communications, Microscopy and Microanalysis, Nature Communications, Journal of the American Chemical Society and The Journal of Physical 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.