Mónica F. Díaz

60 papers and 981 indexed citations i.

About

Mónica F. Díaz is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Mónica F. Díaz has authored 60 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 13 papers in Materials Chemistry and 11 papers in Polymers and Plastics. Recurrent topics in Mónica F. Díaz’s work include Computational Drug Discovery Methods (15 papers), Polymer crystallization and properties (10 papers) and Machine Learning in Materials Science (10 papers). Mónica F. Díaz is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Polymer crystallization and properties (10 papers) and Machine Learning in Materials Science (10 papers). Mónica F. Díaz collaborates with scholars based in Argentina, Venezuela and Spain. Mónica F. Díaz's co-authors include Numa J. Capiati, Silvia E. Barbosa, Pablo E. Vivas‐Mejía, Ignacio Ponzoni, Fiorella Cravero, María Jimena Martínez, Fernando Pedrozo, E. Agulló, Viviana Ramos and María Susana Rodríguez and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review B and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Mónica F. Díaz i

Fields of papers citing papers by Mónica F. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mónica F. Díaz. 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 Mónica F. Díaz. The network helps show where Mónica F. Díaz may publish in the future.

Countries citing papers authored by Mónica F. Díaz

Since Specialization
Citations

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