Claudia Pasquero

3.0k citations
69 papers · 2.1k indexed · h-index 22
Topics
Climate variability and models (34 papers)Oceanographic and Atmospheric Processes (22 papers)Meteorological Phenomena and Simulations (19 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Claudia Pasquero

63 papers receiving 2.0k citations

Peers

Claudia Pasquero
Comparison fields: 5 of 106
  • Atmospheric Science 1.2k
  • Oceanography 981
  • Global and Planetary Change 966
  • Paleontology 259
  • Geochemistry and Petrology 250
Replace Lei Shi with:
Lei Shi United States
Kwang‐Yul Kim South Korea
Zhiming Kuang United States
Christopher D. Roberts United Kingdom
Gregory J. Hakim United States
Andreas Prokoph Canada
A. Bergamasco Italy
Hans Oerter Germany
Nathan Paldor Israel
Claudia Pasquero relative to Lei Shi United States Lei Shi's profile →
Citations per field
00.5×4.5×
Lei Shi · 1×
Citations per year

Countries citing papers authored by Claudia Pasquero

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Pasquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Pasquero

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Pasquero. A scholar is included among the top collaborators of Claudia Pasquero 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 Claudia Pasquero. Claudia Pasquero 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 0
2 1
3 1
4 6
5 1
6 12
7 3
8 0
9 8
10 4
11 14
12 19
13 0
14 18
15 2
16 42
17 11
18 6
19
Impact of spatio-temporal variability of nutrient fluxes on primary productivity in the ocean
1
20 25

About Claudia Pasquero

Claudia Pasquero is a scholar working on Architecture, Oceanography and Atmospheric Science, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Climate variability and models (34 papers), Oceanographic and Atmospheric Processes (22 papers) and Meteorological Phenomena and Simulations (19 papers). The work is most often cited by research in Oceanography (981 citations), Atmospheric Science (1.2k citations) and Global and Planetary Change (966 citations). Claudia Pasquero has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Wei Mei, François Primeau, Dianne K. Newman, Andreas Kappler, Kurt O. Konhauser, Antonello Provenzale, James C. McWilliams, Annalisa Bracco, Agostino N. Meroni and Shang‐Ping Xie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

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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