Daniela Cava

1.4k citations
44 papers · 1.0k indexed · h-index 21

Impact in

Papers in

Daniela Cava

41 papers receiving 1.0k citations

Peers

Daniela Cava
Comparison fields: 5 of 47
  • Global and Planetary Change 754
  • Environmental Engineering 449
  • Atmospheric Science 533
  • Computational Mechanics 386
  • Earth-Surface Processes 107
Replace P. A. Coppin with:
P. A. Coppin Australia
W. Gao United States
Tirtha Banerjee United States
Marcus Oliver Letzel Germany
J. Wieringa Netherlands
Fabienne Lohou France
Claudia Liebethal Germany
John L. Walmsley Canada
A. P. van Ulden Netherlands
Jason Forthofer United States
Daniela Cava relative to P. A. Coppin Australia P. A. Coppin's profile →
Citations per field
00.5×
P. A. Coppin · 1×
Citations per year

Countries citing papers authored by Daniela Cava

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Cava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Cava Line = papers co-authored together Daniela Cava links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200483
2 200780
3 200678
4 200663
5 200756
6 200847
7 200743
8 201739
9 201638
10 201937
11 200935
12 201934
13 201631
14 201931
15 200631
16 201129
17 201128
18 201523
19 200521
20 200121

About Daniela Cava

Daniela Cava is a scholar working on Global and Planetary Change, Environmental Engineering, Atmospheric Science, Computational Mechanics and Earth-Surface Processes, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (22 papers), Wind and Air Flow Studies (19 papers), Meteorological Phenomena and Simulations (18 papers), Fluid Dynamics and Turbulent Flows (16 papers), Climate variability and models (6 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Atmospheric aerosols and clouds (5 papers) and Tree-ring climate responses (4 papers). The work is most often cited by research in Global and Planetary Change (754 citations), Environmental Engineering (449 citations), Atmospheric Science (533 citations), Computational Mechanics (386 citations) and Earth-Surface Processes (107 citations). Daniela Cava has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Gabriel G. Katul, U. Giostra, Luca Mortarini, Antonio Donateo, Daniele Contini, D. Anfossi, Davide Poggi, Mario Siqueira, Anna Maria Sempreviva and Paolo Martano. Their work appears in journals such as Boundary-Layer Meteorology, Agricultural and Forest Meteorology, Quarterly Journal of the Royal Meteorological Society, Physics of Fluids and Physica D Nonlinear Phenomena.

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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