Alexander Dunn
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Advanced Thermoelectric Materials and Devices
- Electronic and Structural Properties of Oxides
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Materials Science 9
- Advanced Thermoelectric Materials and Devices 3
- Fusion materials and technologies 2
- Diamond and Carbon-based Materials Research 2
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- Topic Modeling 4
- Natural Language Processing Techniques 2
- Co-authors
- Anubhav Jain (12 shared papers)Kristin A. Persson (6 shared papers)Gerbrand Ceder (6 shared papers)John Dagdelen (5 shared papers)Leigh Weston (1 shared paper)Olga Kononova (1 shared paper)Vahe Tshitoyan (1 shared paper)Ziqin Rong (1 shared paper)
- Journals
- Computational Materials Science (1 paper)Materials Horizons (1 paper)npj Computational Materials (1 paper)Chemistry of Materials (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Alexander Dunn
14 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Materials Chemistry 1.4k
- Computational Theory and Mathematics 304
- Health Informatics 20
- Metals and Alloys 32
- Catalysis 82
Countries citing papers authored by Alexander Dunn
This map shows the geographic impact of Alexander Dunn'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 Alexander Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Dunn more than expected).
Fields of papers citing papers by Alexander Dunn
This network shows the impact of papers produced by Alexander Dunn. 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 Alexander Dunn. The network helps show where Alexander Dunn may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Dunn, 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 | Unsupervised word embeddings capture latent knowledge from materials science literature Hit paper breakdown → | 2019 | 698 |
| 2 | Matminer: An open source toolkit for materials data mining Hit paper breakdown → | 2018 | 675 |
| 3 | Structured information extraction from scientific text with large language models Hit paper breakdown → | 2024 | 225 |
| 4 | 2022 | 108 | |
| 5 | 2020 | 57 | |
| 6 | 2022 | 51 | |
| 7 | 2020 | 41 | |
| 8 | 2020 | 28 | |
| 9 | 2021 | 18 | |
| 10 | 2023 | 14 | |
| 11 | 2019 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2011 | 8 |
About Alexander Dunn
Alexander Dunn is a scholar working on Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, Electronic, Optical and Magnetic Materials and Molecular Biology, having authored 14 papers that have together received 2.0k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Topic Modeling (4 papers), Computational Drug Discovery Methods (3 papers), Advanced Thermoelectric Materials and Devices (3 papers), Natural Language Processing Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Fusion materials and technologies (2 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Materials Chemistry (1.4k citations), Computational Theory and Mathematics (304 citations), Health Informatics (20 citations), Metals and Alloys (32 citations) and Catalysis (82 citations). Alexander Dunn has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Anubhav Jain, Kristin A. Persson, Gerbrand Ceder, John Dagdelen, Leigh Weston, Olga Kononova, Vahe Tshitoyan, Ziqin Rong, Maxwell Dylla and G. Jeffrey Snyder. Their work appears in journals such as Computational Materials Science, Materials Horizons, npj Computational Materials, Chemistry of Materials and Nature Communications.
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.