Adam Smith

About

Adam Smith is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Geophysics. According to data from OpenAlex, Adam Smith has authored 12 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Materials Chemistry, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Geophysics. Recurrent topics in Adam Smith’s work include Machine Learning in Materials Science (2 papers), High-pressure geophysics and materials (2 papers) and Superconductivity in MgB2 and Alloys (1 paper). Adam Smith is often cited by papers focused on Machine Learning in Materials Science (2 papers), High-pressure geophysics and materials (2 papers) and Superconductivity in MgB2 and Alloys (1 paper). Adam Smith collaborates with scholars based in United States and Taiwan. Adam Smith's co-authors include Cheng-Chien Chen, Da Yan, Abhradeep Thakurta, Weiwei Xie, Angus Huang, Tay‐Rong Chang, Horng‐Tay Jeng, Guang Bian, Qiangsheng Lu and Haoran Yan and has published in prestigious journals such as Physical review. B., Journal of Machine Learning Research and npj Computational Materials.

In The Last Decade

Co-authorship network of co-authors of Adam Smith i

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Fields of papers citing papers by Adam Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Adam Smith

Since Specialization

Citations

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