Sterling G. Baird

21 papers and 214 indexed citations i.

About

Sterling G. Baird is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Sterling G. Baird has authored 21 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 6 papers in Computational Theory and Mathematics and 4 papers in Biomedical Engineering. Recurrent topics in Sterling G. Baird’s work include Machine Learning in Materials Science (13 papers), Microstructure and mechanical properties (4 papers) and Computational Drug Discovery Methods (4 papers). Sterling G. Baird is often cited by papers focused on Machine Learning in Materials Science (13 papers), Microstructure and mechanical properties (4 papers) and Computational Drug Discovery Methods (4 papers). Sterling G. Baird collaborates with scholars based in United States, Canada and United Kingdom. Sterling G. Baird's co-authors include Taylor D. Sparks, Eric R. Homer, Oliver K. Johnson, David T. Fullwood, Alán Aspuru‐Guzik, Yang Cao, Felix Strieth‐Kalthoff, Jeremy A. Johnson, Gary Tom and Kourosh Darvish and has published in prestigious journals such as Chemical Reviews, Acta Materialia and Journal of Materials Science.

In The Last Decade

Co-authorship network of co-authors of Sterling G. Baird i

Fields of papers citing papers by Sterling G. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sterling G. Baird. 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 Sterling G. Baird. The network helps show where Sterling G. Baird may publish in the future.

Countries citing papers authored by Sterling G. Baird

Since Specialization
Citations

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