M. A. Cardoso

523 total citations
10 papers, 424 citations indexed

About

M. A. Cardoso is a scholar working on Ocean Engineering, Mechanical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, M. A. Cardoso has authored 10 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ocean Engineering, 8 papers in Mechanical Engineering and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in M. A. Cardoso's work include Reservoir Engineering and Simulation Methods (9 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Oil and Gas Production Techniques (4 papers). M. A. Cardoso is often cited by papers focused on Reservoir Engineering and Simulation Methods (9 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers) and Oil and Gas Production Techniques (4 papers). M. A. Cardoso collaborates with scholars based in United States, Brazil and Israel. M. A. Cardoso's co-authors include Louis J. Durlofsky, Pallav Sarma, Cláudio Benevenuto de Campos Lima, Aline Silva and Ana Silva and has published in prestigious journals such as Journal of Computational Physics, International Journal for Numerical Methods in Engineering and SPE Journal.

In The Last Decade

M. A. Cardoso

10 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. A. Cardoso United States	7	319	248	132	79	48	10	424
R. Markovinović Netherlands	7	264 0.8×	204 0.8×	128 1.0×	83 1.1×	33 0.7×	13	365
Horacio Flórez United States	10	184 0.6×	185 0.7×	69 0.5×	72 0.9×	32 0.7×	37	302
Mohammadreza Ghasemi United States	10	157 0.5×	126 0.5×	116 0.9×	82 1.0×	15 0.3×	14	364
Sébastien Matringe United States	13	288 0.9×	221 0.9×	43 0.3×	81 1.0×	59 1.2×	31	381
Jincong He Netherlands	14	499 1.6×	376 1.5×	36 0.3×	26 0.3×	87 1.8×	32	549
Peter Popov United States	11	145 0.5×	176 0.7×	17 0.1×	146 1.8×	125 2.6×	30	456
Ingeborg Skjelkvåle Ligaarden Norway	6	274 0.9×	215 0.9×	18 0.1×	138 1.7×	205 4.3×	7	505
Tong Deng-ke China	11	80 0.3×	93 0.4×	22 0.2×	138 1.7×	17 0.4×	36	451
Benjamin Ganis United States	12	83 0.3×	92 0.4×	16 0.1×	263 3.3×	72 1.5×	24	419
Arthur Moncorgé France	12	275 0.9×	150 0.6×	8 0.1×	145 1.8×	93 1.9×	52	399

Countries citing papers authored by M. A. Cardoso

Since Specialization

Citations

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

Fields of papers citing papers by M. A. Cardoso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Cardoso. 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 M. A. Cardoso. The network helps show where M. A. Cardoso may publish in the future.

Co-authorship network of co-authors of M. A. Cardoso

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Cardoso, M. A., et al.. (2019). Stochastic optimization strategies applied to the OLYMPUS benchmark. Computational Geosciences. 24(6). 1943–1958. 13 indexed citations

2.

Cardoso, M. A., et al.. (2018). Stochastic Optimization Strategies Applied To OLYMPUS Benchmark. Proceedings. 7 indexed citations

3.

Cardoso, M. A.. (2011). Technology Focus: History Matching and Forecasting (April 2011). Journal of Petroleum Technology. 63(4). 96–96. 1 indexed citations

4.

Cardoso, M. A. & Louis J. Durlofsky. (2009). Use of Reduced-Order Modeling Procedures for Production Optimization. SPE Journal. 15(2). 426–435. 88 indexed citations

5.

Cardoso, M. A.. (2009). Reduced-Order Models for Reservoir Simulation. SPE Annual Technical Conference and Exhibition. 14 indexed citations

6.

Cardoso, M. A. & Louis J. Durlofsky. (2009). Linearized reduced-order models for subsurface flow simulation. Journal of Computational Physics. 229(3). 681–700. 132 indexed citations

7.

Cardoso, M. A. & Louis J. Durlofsky. (2009). Use of Reduced-Order Modeling Procedures for Production Optimization. 14 indexed citations

8.

Cardoso, M. A., Louis J. Durlofsky, & Pallav Sarma. (2008). Development and application of reduced‐order modeling procedures for subsurface flow simulation. International Journal for Numerical Methods in Engineering. 77(9). 1322–1350. 150 indexed citations

9.

Lima, Cláudio Benevenuto de Campos, et al.. (2005). Reservoir Representation for Flow Simulation. SPE Latin American and Caribbean Petroleum Engineering Conference. 3 indexed citations

10.

Lima, Cláudio Benevenuto de Campos, et al.. (2005). Reservoir Representation for Flow Simulation. Proceedings of SPE Latin American and Caribbean Petroleum Engineering Conference. 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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