Célio Maschio

1.3k total citations
87 papers, 984 citations indexed

About

Célio Maschio is a scholar working on Ocean Engineering, Mechanical Engineering and Environmental Engineering. According to data from OpenAlex, Célio Maschio has authored 87 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Ocean Engineering, 68 papers in Mechanical Engineering and 13 papers in Environmental Engineering. Recurrent topics in Célio Maschio's work include Reservoir Engineering and Simulation Methods (75 papers), Hydraulic Fracturing and Reservoir Analysis (64 papers) and Drilling and Well Engineering (25 papers). Célio Maschio is often cited by papers focused on Reservoir Engineering and Simulation Methods (75 papers), Hydraulic Fracturing and Reservoir Analysis (64 papers) and Drilling and Well Engineering (25 papers). Célio Maschio collaborates with scholars based in Brazil, United Kingdom and Indonesia. Célio Maschio's co-authors include Denis José Schiozer, Luís Augusto Nagasaki Costa, Guilherme Daniel Avansi, Eliana L. Ligero, Alessandra Davólio, Antônio Celso Fonseca de Arruda, Anderson Rocha, M. S. Guimarães, A. Santos and A. Soares and has published in prestigious journals such as PLoS ONE, Applied Soft Computing and Journal of Petroleum Science and Engineering.

In The Last Decade

Célio Maschio

86 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Célio Maschio Brazil 16 863 708 115 109 87 87 984
Guohua Gao Netherlands 25 1.4k 1.6× 1.1k 1.6× 146 1.3× 154 1.4× 132 1.5× 88 1.5k
A. Cominelli Italy 17 853 1.0× 714 1.0× 92 0.8× 117 1.1× 284 3.3× 65 982
F. Roggero France 16 933 1.1× 735 1.0× 105 0.9× 205 1.9× 196 2.3× 64 1.0k
B. Yeten United States 12 766 0.9× 554 0.8× 48 0.4× 48 0.4× 49 0.6× 16 842
Wen H. Chen United States 14 841 1.0× 641 0.9× 34 0.3× 172 1.6× 74 0.9× 24 1.0k
Remus G. Hanea Netherlands 15 478 0.6× 344 0.5× 40 0.3× 87 0.8× 62 0.7× 50 599
Mohan Kelkar United States 21 1.1k 1.3× 842 1.2× 240 2.1× 223 2.0× 164 1.9× 122 1.3k
Ali A. Garrouch Kuwait 14 583 0.7× 340 0.5× 238 2.1× 108 1.0× 217 2.5× 71 860
D. R. Brouwer Netherlands 16 1.7k 2.0× 1.4k 2.0× 32 0.3× 67 0.6× 55 0.6× 23 1.8k
Didier Yu Ding France 17 796 0.9× 754 1.1× 261 2.3× 186 1.7× 131 1.5× 50 996

Countries citing papers authored by Célio Maschio

Since Specialization
Citations

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

Fields of papers citing papers by Célio Maschio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Célio Maschio

This figure shows the co-authorship network connecting the top 25 collaborators of Célio Maschio. A scholar is included among the top collaborators of Célio Maschio 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 Célio Maschio. Célio Maschio 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.
Avansi, Guilherme Daniel, et al.. (2024). End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations. Applied Soft Computing. 162. 111799–111799. 1 indexed citations
2.
Maschio, Célio, et al.. (2024). Methodology to calibrate weight between production and 4D seismic in data assimilation to improve reservoir performance forecasting. Geoenergy Science and Engineering. 243. 213349–213349. 1 indexed citations
3.
Maschio, Célio, et al.. (2023). Performance assessment of an iterative ensemble smoother with local analysis to assimilate big 4D seismic datasets applied to a complex pre-salt-like benchmark case. Journal of Geophysics and Engineering. 21(1). 68–97. 2 indexed citations
4.
Maschio, Célio, Guilherme Daniel Avansi, & Denis José Schiozer. (2023). Data Assimilation Using Principal Component Analysis and Artificial Neural Network. SPE Reservoir Evaluation & Engineering. 26(3). 795–812. 3 indexed citations
5.
Maschio, Célio, et al.. (2020). Assessing the influence of key parameters on an iterative ensemble-based method. International Journal of Oil Gas and Coal Technology. 25(4). 438–438. 1 indexed citations
6.
7.
Avansi, Guilherme Daniel, Célio Maschio, Denis José Schiozer, et al.. (2018). Gaining more understanding about reservoir behavior through assimilation of breakthrough time and productivity deviation in the history matching process. Journal of Petroleum Science and Engineering. 173. 1080–1096. 9 indexed citations
8.
Costa, Luís Augusto Nagasaki, Célio Maschio, & Denis José Schiozer. (2018). A new methodology to reduce uncertainty of global attributes in naturally fractured reservoirs. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 73. 41–41. 9 indexed citations
9.
Maschio, Célio, et al.. (2017). History matching through dynamic decision-making. PLoS ONE. 12(6). e0178507–e0178507. 9 indexed citations
10.
Maschio, Célio, et al.. (2015). A methodology to evaluate and reduce reservoir uncertainties using multivariate distribution. Journal of Petroleum Science and Engineering. 128. 1–14. 25 indexed citations
11.
Maschio, Célio, et al.. (2012). A Procedure for Upscaling a Complex Fractured Reservoir using Near-Well Refinement. SPE Latin America and Caribbean Petroleum Engineering Conference. 1 indexed citations
12.
Davólio, Alessandra, Célio Maschio, & Denis José Schiozer. (2011). Incorporating 4D Seismic Attributes Into History Matching Process Through An Inversion Scheme. 2 indexed citations
13.
Maschio, Célio, et al.. (2011). Upscaling Technique Applied to Naturally Fractured Carbonate Reservoirs. 3 indexed citations
14.
Davólio, Alessandra, et al.. (2011). Evaluation of The Seismic Time-Lapse Acquisition Period In Reservoir Monitoring. OTC Brasil. 2 indexed citations
15.
Maschio, Célio, et al.. (2008). Application Of Neural Network And Global Optimization In History Matching. Scopus. 1 indexed citations
16.
Maschio, Célio, et al.. (2008). A framework to integrate history matching and geostatistical modeling using genetic algorithm and direct search methods. Journal of Petroleum Science and Engineering. 63(1-4). 34–42. 38 indexed citations
17.
Guimarães, M. S., Denis José Schiozer, & Célio Maschio. (2005). Use of Streamlines and Quality Map in the Optimization of Production Strategy of Mature Oil Fields. All Days. 6 indexed citations
18.
Maschio, Célio & Denis José Schiozer. (2003). A new upscaling technique based on Dykstra–Parsons coefficient: evaluation with streamline reservoir simulation. Journal of Petroleum Science and Engineering. 40(1-2). 27–36. 33 indexed citations
19.
Ligero, Eliana L., Célio Maschio, & Denis José Schiozer. (2003). Quantifying the Impact of Grid Size, Upscaling, and Streamline Simulation in the Risk Analysis Applied to Petroleum Field Development. Proceedings of SPE Reservoir Simulation Symposium. 12 indexed citations
20.
Maschio, Célio & Antônio Celso Fonseca de Arruda. (1999). Analysis of contaminant distribution in filter cartridges using X-ray computerized tomography. Filtration & Separation. 36(5). 51–56. 3 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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