Teodoro Laino

About

Teodoro Laino is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Teodoro Laino has authored 89 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 28 papers in Molecular Biology and 19 papers in Computational Theory and Mathematics. Recurrent topics in Teodoro Laino’s work include Machine Learning in Materials Science (30 papers), Computational Drug Discovery Methods (19 papers) and Topic Modeling (8 papers). Teodoro Laino is often cited by papers focused on Machine Learning in Materials Science (30 papers), Computational Drug Discovery Methods (19 papers) and Topic Modeling (8 papers). Teodoro Laino collaborates with scholars based in Switzerland, Italy and United States. Teodoro Laino's co-authors include Philippe Schwaller, Alessandro Curioni, Jean‐Louis Reymond, Alain C. Vaucher, Michele Parrinello, Alessandro Laio, Vishnu H Nair, Fawzi Mohamed, Costas Bekas and Katharina Meier and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Teodoro Laino

This figure shows the co-authorship network connecting the top 25 collaborators of Teodoro Laino. A scholar is included among the top collaborators of Teodoro Laino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teodoro Laino. Teodoro Laino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Teodoro Laino

87 papers receiving 3.8k citations

Fields of papers citing papers by Teodoro Laino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Teodoro Laino

Since Specialization

Citations

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