Jon Sáenz

2.7k citations
91 papers · 2.2k · h-index 30

Impact in

Papers in

    • Meteorological Phenomena and Simulations 29
    • Tropical and Extratropical Cyclones Research 9
    • Ocean Waves and Remote Sensing 14
    • Oceanographic and Atmospheric Processes 14

Jon Sáenz

86 papers receiving 2.1k citations

Peers

Jon Sáenz
Comparison fields: 5 of 101
  • Atmospheric Science 817
  • Global and Planetary Change 882
  • Oceanography 441
  • Ocean Engineering 430
  • Earth-Surface Processes 183
Replace David Carvalho with:
David Carvalho Portugal
Federico Cassola Italy
Matthew Lewis United Kingdom
Hosni Ghedira United Arab Emirates
Cristina Lozej Archer United States
Charlotte Bay Hasager Denmark
Bahareh Kamranzad Japan
Matt J. Lewis United Kingdom
Giovanni Besio Italy
X. Costoya Spain
Jon Sáenz relative to David Carvalho Portugal David Carvalho's profile →
Citations per field
00.5×1.5×2×2.4×
David Carvalho · 1×
Citations per year

Countries citing papers authored by Jon Sáenz

Since Specialization
Citations

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

Fields of papers citing papers by Jon Sáenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006117
2 2017111
3 2019109
4 2008104
5 2001101
6 200781
7 200879
8 200168
9 200364
10 201561
11 201759
12 201856
13 201054
14 202151
15 202141
16 201141
17 200141
18 201141
19 201739
20 200338

About Jon Sáenz

Jon Sáenz is a scholar working on Atmospheric Science, Oceanography, Global and Planetary Change, Aerospace Engineering and Environmental Engineering, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Climate variability and models (31 papers), Meteorological Phenomena and Simulations (29 papers), Wind Energy Research and Development (27 papers), Wave and Wind Energy Systems (15 papers), Ocean Waves and Remote Sensing (14 papers), Oceanographic and Atmospheric Processes (14 papers), Energy Load and Power Forecasting (11 papers) and Tropical and Extratropical Cyclones Research (9 papers). The work is most often cited by research in Atmospheric Science (817 citations), Global and Planetary Change (882 citations), Oceanography (441 citations), Ocean Engineering (430 citations) and Earth-Surface Processes (183 citations). Jon Sáenz has collaborated with scholars based in Spain, Switzerland and Ireland. Frequent co-authors include Gabriel Ibarra‐Berastegi, Alain Ulazia, Jesús Fernández, Concepción Rodríguez‐Puebla, Sheila Carreno-Madinabeitia, Santos Jose González-Rojí, Ganix Esnaola, Eduardo Zorita, John Vincent Ringwood and Markel Penalba. Their work appears in journals such as Ocean Engineering, Energy, Journal of Geophysical Research Atmospheres, Climate Research and Energies.

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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