Aldo Glielmo

About

Aldo Glielmo is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Aldo Glielmo has authored 20 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 6 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Aldo Glielmo’s work include Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (5 papers). Aldo Glielmo is often cited by papers focused on Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (5 papers). Aldo Glielmo collaborates with scholars based in Italy, United Kingdom and Switzerland. Aldo Glielmo's co-authors include Alessandro De Vita, Claudio Zeni, Peter Sollich, Alessandro Laio, Álex Rodríguez, Cecilia Clementi, Frank Noé, Brooke E. Husic, Kevin Rossi and Francesca Baletto and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Aldo Glielmo i

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Fields of papers citing papers by Aldo Glielmo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aldo Glielmo

Since Specialization

Citations

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