David Lonie

10 papers and 7.4k indexed citations i.

About

David Lonie is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, David Lonie has authored 10 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 4 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in David Lonie’s work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). David Lonie is often cited by papers focused on Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). David Lonie collaborates with scholars based in United States and Türkiye. David Lonie's co-authors include Eva Zurek, Donald Curtis, Geoffrey Hutchison, Marcus D. Hanwell, James Hooper, Zackary Falls, Andrew Shamp, Patrick Avery, Scott Simpson and E. Wes Bethel and has published in prestigious journals such as Analytical Chemistry, Physical Review B and Computer Physics Communications.

In The Last Decade

Co-authorship network of co-authors of David Lonie i

Fields of papers citing papers by David Lonie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Lonie

Since Specialization
Citations

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