Leigh Weston
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Kristin A. PerssonVahe TshitoyanOlga KononovaJohn DagdelenGerbrand CederAnubhav JainChris G. Van de WalleZiqin Rong
- Topics
- Machine Learning in Materials Science (4 papers)Diamond and Carbon-based Materials Research (3 papers)Electronic and Structural Properties of Oxides (3 papers)
- Cited by
- Materials ChemistryComputational Theory and MathematicsElectronic, Optical and Magnetic Materials
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Leigh Weston
16 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Materials Chemistry 1.1k
- Electrical and Electronic Engineering 384
- Artificial Intelligence 248
- Electronic, Optical and Magnetic Materials 173
- Computational Theory and Mathematics 158
Countries citing papers authored by Leigh Weston
This map shows the geographic impact of Leigh Weston'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 Leigh Weston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leigh Weston more than expected).
Fields of papers citing papers by Leigh Weston
This network shows the impact of papers produced by Leigh Weston. 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 Leigh Weston. The network helps show where Leigh Weston may publish in the future.
Co-authorship network of co-authors of Leigh Weston
This figure shows the co-authorship network connecting the top 25 collaborators of Leigh Weston. A scholar is included among the top collaborators of Leigh Weston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leigh Weston. Leigh Weston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 3 | |
| 3 | 18 | |
| 4 | Unsupervised word embeddings capture latent knowledge from materials science literaturebreakdown → | 698 |
| 5 | 197 | |
| 6 | 8 | |
| 7 | 31 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | 66 | |
| 11 | 257 | |
| 12 | 2 | |
| 13 | 22 | |
| 14 | 157 | |
| 15 | 22 | |
| 16 | 2 |
About Leigh Weston
Leigh Weston is a scholar working on Condensed Matter Physics, Materials Chemistry and Catalysis, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Diamond and Carbon-based Materials Research (3 papers) and Electronic and Structural Properties of Oxides (3 papers). The work is most often cited by research in Materials Chemistry (1.1k citations), Computational Theory and Mathematics (158 citations) and Electronic, Optical and Magnetic Materials (173 citations). Leigh Weston has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Kristin A. Persson, Vahe Tshitoyan, Olga Kononova, John Dagdelen, Gerbrand Ceder, Anubhav Jain, Chris G. Van de Walle, Ziqin Rong, Alexander Dunn and Darshana Wickramaratne. Their work appears in journals such as Nature, Journal of Applied Physics and Chemistry of Materials.
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.