Daniel Argüeso

3.4k citations
55 papers · 2.5k indexed · 1 hit paper · h-index 29

Daniel Argüeso

54 papers receiving 2.4k citations

Hit Papers

Numerical Simulation of Atmospheric Lamb Waves Generated ...1172022202620232024255075100

Peers

Daniel Argüeso
Comparison fields: 5 of 85
  • Global and Planetary Change 1.9k
  • Atmospheric Science 1.4k
  • Environmental Engineering 549
  • Health, Toxicology and Mutagenesis 279
  • Water Science and Technology 209
Replace Lianchun Song with:
Lianchun Song China
Myoung‐Seok Suh South Korea
Lluís Fita Argentina
C. Ramis Spain
Rita Pongrácz Hungary
R. Romero Spain
M. Nazrul Islam Saudi Arabia
V. Homar Spain
Ruth Lorenz Switzerland
Zhuguo Ma China
Daniel Argüeso relative to Lianchun Song China Lianchun Song's profile →
Citations per field
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Lianchun Song · 1×
Citations per year

Countries citing papers authored by Daniel Argüeso

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Argüeso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Argüeso, 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 Daniel Argüeso Line = papers co-authored together Daniel Argüeso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20247
3 202238
4
Numerical Simulation of Atmospheric Lamb Waves Generated by the 2022 Hunga‐Tonga Volcanic Eruptionbreakdown →
2022117
5 2021141
6 20218
7 202016
8 2020105
9 201830
10 201655
11
Preliminary assessment of the impact of climate change on design rainfall IFD curves
20152
12
WRF simulations of future changes in rainfall IFD curves over Greater Sydney
20154
13 201550
14
Regional Climate Model sesitivity to different parameterizations schemes with WRF over Spain
20151
15
Future changes in extreme East coast lows
20151
16 2014184
17 20134
18 20133
19 201367
20 20137

About Daniel Argüeso

Daniel Argüeso is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include Climate variability and models (46 papers), Meteorological Phenomena and Simulations (31 papers), Tropical and Extratropical Cyclones Research (11 papers), Geophysics and Gravity Measurements (8 papers), Urban Heat Island Mitigation (6 papers), Hydrology and Drought Analysis (5 papers), Oceanographic and Atmospheric Processes (5 papers) and demographic modeling and climate adaptation (4 papers). The work is most often cited by research in Global and Planetary Change (1.9k citations), Atmospheric Science (1.4k citations) and Environmental Engineering (549 citations). Daniel Argüeso has collaborated with scholars based in Australia, Spain and France. Frequent co-authors include Jason P. Evans, Alejandro Di Luca, Lluís Fita, Sarah Perkins‐Kirkpatrick, Yolanda Castro‐Díez, Sonia Raquel Gámiz‐Fortis, María Jesús Esteban‐Parra, K. J. Bormann, Christopher J. White and Fei Ji. Their work appears in journals such as Climate Dynamics, Journal of Climate, Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Climate Research.

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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