Daniele Nerini

18 papers and 432 indexed citations i.

About

Daniele Nerini is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Daniele Nerini has authored 18 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 2 papers in Artificial Intelligence. Recurrent topics in Daniele Nerini’s work include Meteorological Phenomena and Simulations (15 papers), Precipitation Measurement and Analysis (12 papers) and Climate variability and models (7 papers). Daniele Nerini is often cited by papers focused on Meteorological Phenomena and Simulations (15 papers), Precipitation Measurement and Analysis (12 papers) and Climate variability and models (7 papers). Daniele Nerini collaborates with scholars based in Switzerland, Italy and Norway. Daniele Nerini's co-authors include Loris Foresti, Urs Germann, Ioannis V. Sideris, Seppo Pulkkinen, Carlos Velasco‐Forero, Alan Seed, Nikola Bešič, Li-Pen Wang, Wouter Buytaert and Cesare Furlanello and has published in prestigious journals such as Applied Energy, IEEE Transactions on Geoscience and Remote Sensing and Monthly Weather Review.

In The Last Decade

Co-authorship network of co-authors of Daniele Nerini i

Fields of papers citing papers by Daniele Nerini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Nerini

Since Specialization
Citations

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