Scott LeGrand

About

Scott LeGrand is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Scott LeGrand has authored 4 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Molecular Biology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Scott LeGrand’s work include Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (2 papers) and Protein Structure and Dynamics (2 papers). Scott LeGrand is often cited by papers focused on Machine Learning in Materials Science (3 papers), Computational Drug Discovery Methods (2 papers) and Protein Structure and Dynamics (2 papers). Scott LeGrand collaborates with scholars based in United States and Germany. Scott LeGrand's co-authors include Christopher M. Bruns, Daniel L. Ensign, Vijay S. Pande, Mike Houston, Peter Eastman, Mark S. Friedrichs, Ross C. Walker, Timothy J. Giese, Charles Lin and David A. Case and has published in prestigious journals such as Journal of Computational Chemistry, Journal of Chemical Information and Modeling and Parallel Computing.

In The Last Decade

Co-authorship network of co-authors of Scott LeGrand i

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Fields of papers citing papers by Scott LeGrand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Scott LeGrand

Since Specialization

Citations

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