Juan Meza

41 papers and 2.5k indexed citations i.

About

Juan Meza is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Juan Meza has authored 41 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 13 papers in Materials Chemistry and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Juan Meza’s work include Machine Learning in Materials Science (9 papers), Advanced Optimization Algorithms Research (8 papers) and Advanced Chemical Physics Studies (8 papers). Juan Meza is often cited by papers focused on Machine Learning in Materials Science (9 papers), Advanced Optimization Algorithms Research (8 papers) and Advanced Chemical Physics Studies (8 papers). Juan Meza collaborates with scholars based in United States, Hong Kong and Mexico. Juan Meza's co-authors include Thomas Willems, Chris H. Rycroft, Maciej Harańczyk, Michaeel Kazi, Chao Yang, Lin‐Wang Wang, Zhengji Zhao, Vaibhav Donde, Ali Pınar and Bernard C. Lesieutre and has published in prestigious journals such as PLoS ONE, Physical Review B and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Juan Meza i

Fields of papers citing papers by Juan Meza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Juan Meza

Since Specialization
Citations

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