Jairo Panetta

1.1k total citations
45 papers, 487 citations indexed

About

Jairo Panetta is a scholar working on Computer Networks and Communications, Hardware and Architecture and Atmospheric Science. According to data from OpenAlex, Jairo Panetta has authored 45 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 19 papers in Hardware and Architecture and 10 papers in Atmospheric Science. Recurrent topics in Jairo Panetta's work include Distributed and Parallel Computing Systems (22 papers), Parallel Computing and Optimization Techniques (19 papers) and Advanced Data Storage Technologies (16 papers). Jairo Panetta is often cited by papers focused on Distributed and Parallel Computing Systems (22 papers), Parallel Computing and Optimization Techniques (19 papers) and Advanced Data Storage Technologies (16 papers). Jairo Panetta collaborates with scholars based in Brazil, United States and Spain. Jairo Panetta's co-authors include Saulo R. Freitas, Luiz Flávio Rodrigues, Álvaro Luiz Fazenda, K. Longo, Pedro Leite da Silva Dias, Philippe O. A. Navaux, Eduardo R. Rodrigues, Paulo Artaxo, R. B. Chatfield and Meinrat O. Andreae and has published in prestigious journals such as Atmospheric chemistry and physics, Geoscientific model development and Journal of Advances in Modeling Earth Systems.

In The Last Decade

Jairo Panetta

38 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jairo Panetta Brazil 11 181 174 141 101 54 45 487
Tiago Quintino United Kingdom 10 147 0.8× 150 0.9× 75 0.5× 54 0.5× 45 0.8× 27 459
Soumik Ghosh United States 16 249 1.4× 362 2.1× 139 1.0× 53 0.5× 12 0.2× 50 684
Noel D. Keen United States 9 52 0.3× 132 0.8× 147 1.0× 103 1.0× 2 0.0× 18 519
Hrachya Astsatryan Armenia 10 48 0.3× 47 0.3× 101 0.7× 37 0.4× 13 0.2× 67 297
Xin Xu China 16 683 3.8× 617 3.5× 38 0.3× 15 0.1× 11 0.2× 95 934
Qiao Hu China 13 52 0.3× 189 1.1× 59 0.4× 7 0.1× 6 0.1× 40 553
Gerard Cats Netherlands 9 138 0.8× 85 0.5× 34 0.2× 21 0.2× 16 0.3× 25 246
Matthew Chantry United Kingdom 15 404 2.2× 405 2.3× 32 0.2× 11 0.1× 7 0.1× 33 753
Siyuan Li China 11 121 0.7× 57 0.3× 22 0.2× 4 0.0× 78 1.4× 52 404
Jon Dehn United States 10 80 0.4× 56 0.3× 87 0.6× 51 0.5× 16 329

Countries citing papers authored by Jairo Panetta

Since Specialization
Citations

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

Fields of papers citing papers by Jairo Panetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jairo Panetta

This figure shows the co-authorship network connecting the top 25 collaborators of Jairo Panetta. A scholar is included among the top collaborators of Jairo Panetta 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 Jairo Panetta. Jairo Panetta 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.
Augusto, Douglas A., et al.. (2021). Hybrid parallel iterative sparse linear solver framework for reservoir geomechanical and flow simulation. Journal of Computational Science. 51. 101330–101330. 9 indexed citations
2.
Panetta, Jairo, et al.. (2021). Energy efficiency and portability of oil and gas simulations on multicore and graphics processing unit architectures. Concurrency and Computation Practice and Experience. 33(18). 2 indexed citations
3.
Rodrigues, José Roberto, et al.. (2019). A Linear Solver Framework for Flow and Geomechanics Reservoir Simulation. 23. 708–717. 2 indexed citations
4.
Panetta, Jairo, et al.. (2019). On Applying Performance Portability Metrics. 50–59. 11 indexed citations
5.
Panetta, Jairo, et al.. (2018). Evaluating optimizations that reduce global memory accesses of stencil computations in GPGPUs. Concurrency and Computation Practice and Experience. 31(18). 4 indexed citations
6.
Panetta, Jairo, et al.. (2018). Improving Performance and Energy Efficiency of Geophysics Applications on GPU Architectures. HAL (Le Centre pour la Communication Scientifique Directe).
7.
Panetta, Jairo, et al.. (2018). Análise do Desempenho de Comunicação Usando a Funcionalidade de Memória Compartilhada do MPI 3.0. Revista Cereus. 10(2). 193–210. 10 indexed citations
8.
Cruz, Eduardo H. M., et al.. (2017). Strategies to Improve the Performance of a Geophysics Model for Different Manycore Systems. QRU Quaderns de Recerca en Urbanisme. 49–54. 4 indexed citations
9.
10.
Panetta, Jairo, et al.. (2016). Portability with efficiency of the advection of BRAMS between multi‐core and many‐core architectures. Concurrency and Computation Practice and Experience. 29(22). 2 indexed citations
11.
Longo, K., Saulo R. Freitas, M. Pirre, et al.. (2013). The Chemistry CATT-BRAMS model (CCATT-BRAMS 4.5): a regional atmospheric model system for integrated air quality and weather forecasting and research. Geoscientific model development. 6(5). 1389–1405. 49 indexed citations
12.
Grunmann, Pablo Javier, Laércio Lima Pilla, Jairo Panetta, et al.. (2011). Improving Performance on Atmospheric Models through a Hybrid OpenMP/MPI Implementation. 125. 69–74. 6 indexed citations
13.
Rodrigues, Eduardo R., Philippe O. A. Navaux, Jairo Panetta, & Celso L. Mendes. (2010). A new technique for data privatization in user-level threads and its use in parallel applications. 2149–2154. 9 indexed citations
14.
Freitas, Saulo R., K. Longo, Maria A. F. Silva Dias, et al.. (2009). The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation. Atmospheric chemistry and physics. 9(8). 2843–2861. 173 indexed citations
15.
16.
Navaux, Philippe O. A., Haroldo Fraga de Campos Velho, Stephan Stephany, et al.. (2007). Processing Mesoscale Climatology in a Grid Environment. 3779. 363–370. 9 indexed citations
17.
Panetta, Jairo, et al.. (2007). COMPUTATIONAL COST OF CPTEC AGCM. 65–83. 2 indexed citations
18.
Mendes, Celso L. & Jairo Panetta. (1999). Selecting Directions for Parallel RAMS Performance Optimization. 85–92. 2 indexed citations
19.
Gannon, Dennis & Jairo Panetta. (1986). Restructuring SIMPLE for the CHiP architecture. Parallel Computing. 3(4). 305–326. 2 indexed citations
20.
Gannon, Dennis & Jairo Panetta. (1984). SIMPLE on the CHiP. 2 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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