M. Casaioli

817 citations
26 papers · 581 indexed · h-index 12
Topics
Meteorological Phenomena and Simulations (19 papers)Climate variability and models (16 papers)Precipitation Measurement and Analysis (13 papers)
Partner nations
ItalyGermanyFrance

In The Last Decade

M. Casaioli

26 papers receiving 565 citations

Peers

M. Casaioli
Comparison fields: 5 of 57
  • Atmospheric Science 425
  • Global and Planetary Change 418
  • Environmental Engineering 71
  • Oceanography 64
  • Water Science and Technology 57
Replace Stefano Mariani with:
Stefano Mariani Italy
Christine Achberger Sweden
Stavros Dafis Greece
A. Savtchenko United States
Kenny Thiam Choy Lim Kam Sian China
Freja Vamborg United Kingdom
Ruth Cerezo‐Mota Mexico
Rulin Ouyang China
Lorenzo Silvestri Italy
Hongxiong Xu China
M. Casaioli relative to Stefano Mariani Italy Stefano Mariani's profile →
Citations per field
00.5×1.5×
Stefano Mariani · 1×
Citations per year

Countries citing papers authored by M. Casaioli

Since Specialization
Citations

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

Fields of papers citing papers by M. Casaioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Casaioli

This figure shows the co-authorship network connecting the top 25 collaborators of M. Casaioli. A scholar is included among the top collaborators of M. Casaioli 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 M. Casaioli. M. Casaioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 34
3 13
4 19
5 7
6 9
7 5
8 2
9 2
10 9
11 10
12 3
13 2
14 43
15 1
16 46
17 45
18 26
19 212
20
Application of A Statistical Methodology For Limited Area Model Intercomparison Using A Bootstrap Technique
11

About M. Casaioli

M. Casaioli is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 26 papers that have together received 581 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (19 papers), Climate variability and models (16 papers) and Precipitation Measurement and Analysis (13 papers). The work is most often cited by research in Atmospheric Science (425 citations), Global and Planetary Change (418 citations) and Oceanography (64 citations). M. Casaioli has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Stefano Mariani, Christophe Accadia, A. Speranza, A. Lavagnini, B. Lastoria, Marco Simonetti, P. Malguzzi, Silvio Davolio, R. Romero and Anna Maria Sempreviva. Their work appears in journals such as Earth Surface Processes and Landforms, Weather and Forecasting and Natural hazards and earth system sciences.

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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