Justin Gilmer

18 papers and 785 indexed citations i.

About

Justin Gilmer is a scholar working on Materials Chemistry, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Justin Gilmer has authored 18 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Justin Gilmer’s work include Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (4 papers) and Scientific Computing and Data Management (3 papers). Justin Gilmer is often cited by papers focused on Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (4 papers) and Scientific Computing and Data Management (3 papers). Justin Gilmer collaborates with scholars based in United States, India and United Kingdom. Justin Gilmer's co-authors include Samuel S. Schoenholz, George E. Dahl, Felix A. Faber, O. Anatole von Lilienfeld, Oriol Vinyals, Steven Kearnes, Bing Huang, Luke A. D. Hutchison, Patrick Riley and Peter T. Cummings and has published in prestigious journals such as The Journal of Chemical Physics, AIChE Journal and Journal of Chemical Theory and Computation.

In The Last Decade

Co-authorship network of co-authors of Justin Gilmer i

Fields of papers citing papers by Justin Gilmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Gilmer. 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 Justin Gilmer. The network helps show where Justin Gilmer may publish in the future.

Countries citing papers authored by Justin Gilmer

Since Specialization
Citations

This map shows the geographic impact of Justin Gilmer'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 Justin Gilmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Gilmer more than expected).

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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2025