Daniela Polino

21 papers and 585 indexed citations i.

About

Daniela Polino is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Atmospheric Science. According to data from OpenAlex, Daniela Polino has authored 21 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 9 papers in Materials Chemistry and 7 papers in Atmospheric Science. Recurrent topics in Daniela Polino’s work include Advanced Chemical Physics Studies (10 papers), Machine Learning in Materials Science (4 papers) and Atmospheric chemistry and aerosols (4 papers). Daniela Polino is often cited by papers focused on Advanced Chemical Physics Studies (10 papers), Machine Learning in Materials Science (4 papers) and Atmospheric chemistry and aerosols (4 papers). Daniela Polino collaborates with scholars based in Italy, Switzerland and United States. Daniela Polino's co-authors include Carlo Cavallotti, Michele Parrinello, Luigi Bonati, Manyi Yang, Marco Derudi, E. Ranzi, Alessio Frassoldati, Antonino Famulari, Nino Russo and Emilia Sicilia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Daniela Polino i

Fields of papers citing papers by Daniela Polino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Polino

Since Specialization
Citations

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