Rossella Arcucci

72 papers and 1.2k indexed citations i.

About

Rossella Arcucci is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Rossella Arcucci has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 18 papers in Artificial Intelligence. Recurrent topics in Rossella Arcucci’s work include Meteorological Phenomena and Simulations (31 papers), Model Reduction and Neural Networks (11 papers) and Climate variability and models (10 papers). Rossella Arcucci is often cited by papers focused on Meteorological Phenomena and Simulations (31 papers), Model Reduction and Neural Networks (11 papers) and Climate variability and models (10 papers). Rossella Arcucci collaborates with scholars based in United Kingdom, Italy and China. Rossella Arcucci's co-authors include Yike Guo, Sibo Cheng, Christopher C. Pain, Pin Wu, Jiangcheng Zhu, Miguel Molina-Solana, Luisa D’Amore, Dunhui Xiao, Omar K. Matar and L. G. B. Ruiz and has published in prestigious journals such as The Science of The Total Environment, Journal of Computational Physics and Chemical Engineering Journal.

In The Last Decade

Co-authorship network of co-authors of Rossella Arcucci i

Fields of papers citing papers by Rossella Arcucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rossella Arcucci

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025