David Milsted

774 citations
6 papers · 481 indexed · 1 hit paper · h-index 4

David Milsted

4 papers receiving 458 citations

Hit Papers

An autonomous laboratory for the accelerated synthesis of...4512023202620242025100200300400

Peers

David Milsted
Comparison fields: 5 of 90
  • Materials Chemistry 285
  • Information Systems and Management 37
  • Catalysis 23
  • Health Informatics 4
  • Computational Theory and Mathematics 46
Replace Bernardus Rendy with:
Bernardus Rendy United States
Max C. Gallant United States
Cher Tian Ser Canada
Rishi E. Kumar United States
Hermann Tribukait Switzerland
Michael Krein United States
Jeroen van Duren United States
L.M. Mejía-Mendoza Mexico
Kevin Decker United States
Sterling G. Baird United States
David Milsted relative to Bernardus Rendy United States Bernardus Rendy's profile →
Citations per field
00.5×1.5×
Bernardus Rendy · 1×
Citations per year

Countries citing papers authored by David Milsted

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with David Milsted Line = papers co-authored together David Milsted links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20250
2 20250
3 202412
4 202314
5
An autonomous laboratory for the accelerated synthesis of inorganic materialsbreakdown →
2023451
6 20194

About David Milsted

David Milsted is a scholar working on Structural Biology, Information Systems and Management, Surfaces, Coatings and Films, Biotechnology and Materials Chemistry, having authored 6 papers that have together received 481 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Lignin and Wood Chemistry (1 paper), Biofuel production and bioconversion (1 paper), Advanced Battery Materials and Technologies (1 paper), Wood Treatment and Properties (1 paper), Electronic and Structural Properties of Oxides (1 paper), X-ray Diffraction in Crystallography (1 paper) and Distributed and Parallel Computing Systems (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 Anubhav Jain, Bernardus Rendy, Rishi E. Kumar, Nathan J. Szymanski, Gerbrand Ceder, Matthew J. McDermott, Tanjin He, Kristin A. Persson, Ekin D. Cubuk and Christopher J. Bartel. 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.

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