Mario Acosta

1.5k total citations
23 papers, 159 citations indexed

About

Mario Acosta is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Mario Acosta has authored 23 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 13 papers in Oceanography and 10 papers in Global and Planetary Change. Recurrent topics in Mario Acosta's work include Meteorological Phenomena and Simulations (12 papers), Oceanographic and Atmospheric Processes (10 papers) and Climate variability and models (8 papers). Mario Acosta is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Oceanographic and Atmospheric Processes (10 papers) and Climate variability and models (8 papers). Mario Acosta collaborates with scholars based in Spain, United States and Netherlands. Mario Acosta's co-authors include Francisco J. Doblas‐Reyes, Xavier Yepes-Arbós, François Massonnet, Eleftheria Exarchou, Martin Ménégoz, Miguel Castrillo, Kim Serradell, Francisco J. Rueda, Ana Cortés and Oriol Tintó Prims and has published in prestigious journals such as Bulletin of the American Meteorological Society, Computer Physics Communications and Environmental Modelling & Software.

In The Last Decade

Mario Acosta

20 papers receiving 154 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Acosta Spain 8 80 79 40 22 14 23 159
Y. Okada Japan 7 161 2.0× 178 2.3× 41 1.0× 19 0.9× 5 0.4× 18 228
Minsu Joh South Korea 8 104 1.3× 123 1.6× 25 0.6× 6 0.3× 10 0.7× 22 167
Stephen Pascoe United Kingdom 6 173 2.2× 164 2.1× 17 0.4× 18 0.8× 55 3.9× 11 299
Laura Carrea United Kingdom 8 43 0.5× 40 0.5× 65 1.6× 55 2.5× 28 2.0× 20 218
Pedro Maciel United Kingdom 5 122 1.5× 101 1.3× 18 0.5× 3 0.1× 10 0.7× 6 184
Gijs van den Oord Netherlands 7 70 0.9× 61 0.8× 8 0.2× 24 1.1× 8 0.6× 23 138
Luiz Flávio Rodrigues Brazil 6 184 2.3× 180 2.3× 9 0.2× 8 0.4× 17 1.2× 7 276
Christopher Kerr United States 8 323 4.0× 303 3.8× 64 1.6× 18 0.8× 10 0.7× 13 398
G. Rutledge United States 4 66 0.8× 54 0.7× 19 0.5× 16 0.7× 6 0.4× 7 131
Ezequiel Cimadevilla Spain 4 112 1.4× 86 1.1× 6 0.1× 35 1.6× 8 0.6× 8 152

Countries citing papers authored by Mario Acosta

Since Specialization
Citations

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

Fields of papers citing papers by Mario Acosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Acosta

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Acosta. A scholar is included among the top collaborators of Mario Acosta 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 Mario Acosta. Mario Acosta 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
1.
Moreno‐Chamarro, Eduardo, Thomas Arsouze, Mario Acosta, et al.. (2025). The very-high-resolution configuration of the EC-Earth global model for HighResMIP. Geoscientific model development. 18(2). 461–482. 3 indexed citations
2.
Hadade, Ioan, Daniel Klocke, Jussi Enkovaara, et al.. (2025). Destination Earth: The Climate Change Adaptation Digital Twin. 99–110.
3.
Castrillo, Miguel, et al.. (2025). Evaluating the impact of task aggregation in workflows with shared resource environments: use case for the MONARCH application. Geoscientific model development. 18(23). 9709–9721.
4.
García-Gasulla, Marta, Filippo Mantovani, David Vicente, et al.. (2025). Introducing MareNostrum5: A European pre-exascale energy-efficient system designed to serve a broad spectrum of scientific workloads. Future Generation Computer Systems. 176. 108125–108125. 3 indexed citations
5.
Cappello, Franck, Mario Acosta, Emmanuel Agullo, et al.. (2024). Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Generation Computer Systems. 163. 107323–107323. 7 indexed citations
6.
Acosta, Mario, et al.. (2023). Balancing EC‐Earth3 Improving the Performance of EC‐Earth CMIP6 Configurations by Minimizing the Coupling Cost. Earth and Space Science. 10(8). 3 indexed citations
7.
Bernardello, Raffaele, et al.. (2022). Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon. Geoscientific model development. 15(14). 5713–5737. 5 indexed citations
8.
Yepes-Arbós, Xavier, Gijs van den Oord, Mario Acosta, & Glenn Carver. (2022). Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study. Geoscientific model development. 15(2). 379–394. 10 indexed citations
9.
Dawson, Matthew L., Christian D. Guzmán, Jeffrey H. Curtis, et al.. (2021). Data from: Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated multi-phase chemistry model. arXiv (Cornell University). 1–40. 1 indexed citations
10.
Bernardello, Raffaele, et al.. (2021). Use of Genetic Algorithms for Ocean Model Parameter Optimisation. 1 indexed citations
11.
Yepes-Arbós, Xavier, Gijs van den Oord, Mario Acosta, & Glenn Carver. (2021). Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study. 1 indexed citations
12.
Massonnet, François, Martin Ménégoz, Mario Acosta, et al.. (2020). Replicability of the EC-Earth3 Earth system model under a change in computing environment. Geoscientific model development. 13(3). 1165–1178. 50 indexed citations
13.
Prims, Oriol Tintó, Mario Acosta, Andrew M. Moore, et al.. (2019). How to use mixed precision in Ocean Models. 1 indexed citations
14.
Prims, Oriol Tintó, Mario Acosta, Andrew M. Moore, et al.. (2019). How to use mixed precision in ocean models: exploring a potential reduction of numerical precision in NEMO 4.0 and ROMS 3.6. Geoscientific model development. 12(7). 3135–3148. 24 indexed citations
15.
Prims, Oriol Tintó, Miguel Castrillo, Mario Acosta, et al.. (2018). Finding, analysing and solving MPI communication bottlenecks in Earth System models. Journal of Computational Science. 36. 100864–100864. 14 indexed citations
16.
Oord, Gijs van den, et al.. (2018). Post-Processing Strategies for the ECMWF Model. 108. 401–401. 1 indexed citations
17.
Ramón, Cintia L., Mario Acosta, & Francisco J. Rueda. (2018). Hydrodynamic Drivers of Juvenile-Salmon Out-Migration in the Sacramento River: Secondary Circulation. Journal of Hydraulic Engineering. 144(8). 8 indexed citations
18.
Prims, Oriol Tintó, Mario Acosta, Miguel Castrillo, et al.. (2017). Optimizing domain decomposition in an ocean model: the case of NEMO. Procedia Computer Science. 108. 776–785. 4 indexed citations
19.
Fučkar, Neven S., François Massonnet, Virginie Guémas, et al.. (2016). Record Low Northern Hemisphere Sea Ice Extent in March 2015. Bulletin of the American Meteorological Society. 97(12). S136–S140. 3 indexed citations
20.
Acosta, Mario, M. Anguita, Francisco Javier Ramírez Fernández, et al.. (2014). Evaluation of a nested-grid implementation for 3D finite-difference semi-implicit hydrodynamic models. Environmental Modelling & Software. 64. 241–262. 12 indexed citations

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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