Mayeul d’Avezac

25 papers and 1.5k indexed citations i.

About

Mayeul d’Avezac is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Mayeul d’Avezac has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 6 papers in Atomic and Molecular Physics, and Optics and 6 papers in Condensed Matter Physics. Recurrent topics in Mayeul d’Avezac’s work include Machine Learning in Materials Science (7 papers), Advanced Condensed Matter Physics (5 papers) and Electronic and Structural Properties of Oxides (5 papers). Mayeul d’Avezac is often cited by papers focused on Machine Learning in Materials Science (7 papers), Advanced Condensed Matter Physics (5 papers) and Electronic and Structural Properties of Oxides (5 papers). Mayeul d’Avezac collaborates with scholars based in United States, United Kingdom and France. Mayeul d’Avezac's co-authors include Alex Zunger, Stephan Lany, Andriy Zakutayev, Francesco Mauri, Janet Tate, Julien Vidal, Jason Francis, Vladan Stevanović, Tula R. Paudel and James Hetherington and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of the American Chemical Society.

In The Last Decade

Co-authorship network of co-authors of Mayeul d’Avezac i

Fields of papers citing papers by Mayeul d’Avezac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayeul d’Avezac. 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 Mayeul d’Avezac. The network helps show where Mayeul d’Avezac may publish in the future.

Countries citing papers authored by Mayeul d’Avezac

Since Specialization
Citations

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