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
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- Distributed and Parallel Computing Systems 1
- Co-authors
- Matthew J. McDermott (3 shared papers)Gerbrand Ceder (4 shared papers)Rishi E. Kumar (2 shared papers)Anubhav Jain (2 shared papers)Bernardus Rendy (4 shared papers)Nathan J. Szymanski (2 shared papers)Yan Zeng (1 shared paper)Max C. Gallant (1 shared paper)
- Journals
- Journal of Agriculture and Food Research (1 paper)Nature (1 paper)Forests (1 paper)Chemistry of Materials (1 paper)Digital Discovery (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
David Milsted
4 papers receiving 458 citations
David Milsted's Hit Papers
Peers
Comparison fields: 5 of 90
- Materials Chemistry 285
- Information Systems and Management 37
- Catalysis 23
- Health Informatics 4
- Computational Theory and Mathematics 46
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 | 451 |
| 2 | 2023 | 14 | |
| 3 | 2024 | 12 | |
| 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 481 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Electron and X-Ray Spectroscopy Techniques (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Electronic and Structural Properties of Oxides (1 paper), Advanced Battery Materials and Technologies (1 paper), Distributed and Parallel Computing Systems (1 paper), Forest Insect Ecology and Management (1 paper) and Biofuel production and bioconversion (1 paper). The work is most often cited by research in Materials Chemistry (285 citations), Information Systems and Management (37 citations), Catalysis (23 citations), Health Informatics (4 citations) and Computational Theory and Mathematics (46 citations). David Milsted has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Matthew J. McDermott, Gerbrand Ceder, Rishi E. Kumar, Anubhav Jain, Bernardus Rendy, Nathan J. Szymanski, Yan Zeng, Max C. Gallant, Christopher J. Bartel and Kristin A. Persson. Their work appears in journals such as Journal of Agriculture and Food Research, Nature, Forests, Chemistry of Materials 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.