Alberto de Lózar

76 total papers · 1.6k total citations
32 papers, 1.1k citations indexed

About

Alberto de Lózar is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Alberto de Lózar has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 12 papers in Computational Mechanics. Recurrent topics in Alberto de Lózar's work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (10 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Alberto de Lózar is often cited by papers focused on Meteorological Phenomena and Simulations (16 papers), Climate variability and models (10 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Alberto de Lózar collaborates with scholars based in Germany, China and United Kingdom. Alberto de Lózar's co-authors include Björn Hof, Marc Avila, Kerstin Avila, David Moxey, Dwight Barkley, Juan Pedro Mellado, Anne Juel, Andrew L. Hazel, Jerry Westerweel and Tobias M. Schneider and has published in prestigious journals such as Science, Physical Review Letters and Journal of Fluid Mechanics.

In The Last Decade

Alberto de Lózar

31 papers receiving 1.1k citations

Hit Papers

The Onset of Turbulence i... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alberto de Lózar 569 472 292 133 124 32 1.1k
Ashley P. Willis 849 1.5× 368 0.8× 163 0.6× 158 1.2× 90 0.7× 44 1.1k
Yohann Duguet 904 1.6× 542 1.1× 131 0.4× 156 1.2× 77 0.6× 48 980
Bernard Castaing 739 1.3× 304 0.6× 145 0.5× 262 2.0× 139 1.1× 15 1.0k
Takeshi Watanabe 731 1.3× 191 0.4× 236 0.8× 173 1.3× 74 0.6× 87 1.1k
Susanne Horn 666 1.2× 344 0.7× 279 1.0× 150 1.1× 252 2.0× 39 1.3k
Masato Nagata 910 1.6× 416 0.9× 79 0.3× 77 0.6× 125 1.0× 47 1.1k
Rudie Kunnen 804 1.4× 372 0.8× 154 0.5× 132 1.0× 171 1.4× 56 1.1k
Genta KAWAHARA 1.3k 2.3× 428 0.9× 116 0.4× 272 2.0× 127 1.0× 60 1.4k
Alan J. Faller 466 0.8× 202 0.4× 336 1.2× 127 1.0× 79 0.6× 39 1.1k
Holger Faisst 782 1.4× 389 0.8× 72 0.2× 103 0.8× 79 0.6× 11 917

Countries citing papers authored by Alberto de Lózar

Since Specialization
Citations

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

Fields of papers citing papers by Alberto de Lózar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto de Lózar. 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 Alberto de Lózar. The network helps show where Alberto de Lózar may publish in the future.

Co-authorship network of co-authors of Alberto de Lózar

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto de Lózar. A scholar is included among the top collaborators of Alberto de Lózar 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 Alberto de Lózar. Alberto de Lózar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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