David Milsted
Impact in
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
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- Scientific Computing and Data Management
Papers in
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- Machine Learning in Materials Science 3
- Electronic and Structural Properties of Oxides 1
- Nuclear materials and radiation effects 1
- Co-authors
- Gerbrand Ceder (4 shared papers)Anubhav Jain (2 shared papers)Nathan J. Szymanski (2 shared papers)Rishi E. Kumar (2 shared papers)Bernardus Rendy (4 shared papers)Matthew J. McDermott (3 shared papers)Tanjin He (1 shared paper)Ekin D. Cubuk (1 shared paper)
- Journals
- Forests (1 paper)Chemistry of Materials (1 paper)Nature (1 paper)Journal of Agriculture and Food Research (1 paper)Digital Discovery (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
David Milsted
4 papers receiving 544 citations
David Milsted's Hit Papers
Peers
Comparison fields: 5 of 90
- Materials Chemistry 315
- Information Systems and Management 38
- Structural Biology 5
- Catalysis 24
- Health Informatics 4
Countries citing papers authored by David Milsted
This map shows the geographic impact of David Milsted'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 David Milsted with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Milsted more than expected).
Fields of papers citing papers by David Milsted
This network shows the impact of papers produced by David Milsted. 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 David Milsted. The network helps show where David Milsted may publish in the future.
Co-authors
The 25 scholars most cited alongside David Milsted, 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 | An autonomous laboratory for the accelerated synthesis of inorganic materials Hit paper breakdown → | 2023 | 529 |
| 2 | 2024 | 17 | |
| 3 | 2023 | 15 | |
| 4 | 2019 | 4 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 |
About David Milsted
David Milsted is a scholar working on Materials Chemistry, Computer Networks and Communications, Structural Biology, Ecology and Information Systems and Management, having authored 6 papers that have together received 565 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Advanced Battery Materials and Technologies (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Lignin and Wood Chemistry (1 paper), Electronic and Structural Properties of Oxides (1 paper), Zeolite Catalysis and Synthesis (1 paper), Nuclear materials and radiation effects (1 paper) and Advanced Electron Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Materials Chemistry (315 citations), Information Systems and Management (38 citations), Structural Biology (5 citations), Catalysis (24 citations) and Health Informatics (4 citations). David Milsted has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gerbrand Ceder, Anubhav Jain, Nathan J. Szymanski, Rishi E. Kumar, Bernardus Rendy, Matthew J. McDermott, Tanjin He, Ekin D. Cubuk, Christopher J. Bartel and Amil Merchant. Their work appears in journals such as Forests, Chemistry of Materials, Nature, Journal of Agriculture and Food Research and Digital Discovery.
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.