Pedro Ripa

1.9k citations
60 papers · 1.5k · h-index 23

Impact in

    • Oceanographic and Atmospheric Processes
    • Marine and coastal ecosystems
    • Meteorological Phenomena and Simulations

Papers in

Pedro Ripa

59 papers receiving 1.3k citations

Peers

Pedro Ripa
Comparison fields: 5 of 40
  • Oceanography 1.1k
  • Atmospheric Science 240
  • Computational Mechanics 289
  • Statistical and Nonlinear Physics 99
  • Global and Planetary Change 158
Replace K. Shafer Smith with:
K. Shafer Smith United States
Myrl C. Hendershott United States
Dirk J. Olbers Germany
Joseph Henry LaCasce Norway
Greg Holloway United States
Stefano Pierini Italy
Alain Colin de Verdière France
Alan J. Faller United States
T. Warn Canada
Sergey V. Prants Russia
Pedro Ripa relative to K. Shafer Smith United States K. Shafer Smith's profile →
Citations per field
00.5×1.5×2.0×
K. Shafer Smith · 1×
Citations per year

Countries citing papers authored by Pedro Ripa

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Ripa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Pedro Ripa, 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 Pedro Ripa Line = papers co-authored together Pedro Ripa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199394
2 198393
3 199587
4 199482
5 198367
6 199766
7 199161
8 198252
9 197548
10 200248
11 199943
12 200042
13 198941
14 198140
15 198140
16 198737
17 199734
18 200232
19 198931
20 200129

About Pedro Ripa

Pedro Ripa is a scholar working on Oceanography, Statistical and Nonlinear Physics, Atmospheric Science, Computational Mechanics and Applied Mathematics, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (52 papers), Fluid Dynamics and Turbulent Flows (7 papers), Meteorological Phenomena and Simulations (6 papers), Nonlinear Waves and Solitons (5 papers), Relativity and Gravitational Theory (2 papers), Statistical and numerical algorithms (2 papers), Scientific Research and Discoveries (1 paper) and Climate variability and models (1 paper). The work is most often cited by research in Oceanography (1.1k citations), Atmospheric Science (240 citations), Computational Mechanics (289 citations), Statistical and Nonlinear Physics (99 citations) and Global and Planetary Change (158 citations). Pedro Ripa has collaborated with scholars based in Mexico, United States and Costa Rica. Frequent co-authors include Francisco Javier Beron-Vera, M. F. Lavín, S. P. Hayes, S.G. Marinone, Emilio J. Beier, Rubén Castro, G. Zgrablich, M. Benno Blumenthal, Charles Curtis Eriksen and Andrés L. Rivas. Their work appears in journals such as Journal of Physical Oceanography, Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics, Geofísica Internacional and Continental Shelf 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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