R.M. Fonseca

524 total citations
20 papers, 442 citations indexed

About

R.M. Fonseca is a scholar working on Ocean Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, R.M. Fonseca has authored 20 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ocean Engineering, 16 papers in Mechanical Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in R.M. Fonseca's work include Reservoir Engineering and Simulation Methods (18 papers), Hydraulic Fracturing and Reservoir Analysis (16 papers) and Enhanced Oil Recovery Techniques (9 papers). R.M. Fonseca is often cited by papers focused on Reservoir Engineering and Simulation Methods (18 papers), Hydraulic Fracturing and Reservoir Analysis (16 papers) and Enhanced Oil Recovery Techniques (9 papers). R.M. Fonseca collaborates with scholars based in Netherlands, Brazil and United Kingdom. R.M. Fonseca's co-authors include J. D. Jansen, Paul M.J. Van den Hof, O. Leeuwenburgh, S. Kahrobaei, G. M. van Essen, E. Della Rossa, Albert C. Reynolds, Andreas S. Stordal, Remus G. Hanea and Tao Feng and has published in prestigious journals such as Solar Energy, Journal of Petroleum Science and Engineering and SPE Journal.

In The Last Decade

R.M. Fonseca

20 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
R.M. Fonseca Netherlands	10	400	288	42	35	32	20	442
Guilherme Daniel Avansi Brazil	10	367 0.9×	265 0.9×	20 0.5×	39 1.1×	40 1.3×	31	405
G. M. van Essen Netherlands	10	758 1.9×	588 2.0×	36 0.9×	46 1.3×	46 1.4×	16	782
Jérôme Onwunalu United States	8	605 1.5×	435 1.5×	23 0.5×	51 1.5×	47 1.5×	9	665
Oleg Volkov United States	12	221 0.6×	190 0.7×	29 0.7×	16 0.5×	41 1.3×	29	331
Baris Güyagüler United States	11	652 1.6×	477 1.7×	22 0.5×	39 1.1×	34 1.1×	23	680
B. Yeten United States	12	766 1.9×	554 1.9×	23 0.5×	48 1.4×	48 1.5×	16	842
David Echeverría Ciaurri United States	12	852 2.1×	634 2.2×	27 0.6×	96 2.7×	58 1.8×	35	918
A. Castellini Netherlands	10	274 0.7×	202 0.7×	21 0.5×	6 0.2×	36 1.1×	14	322
Mehrdad G. Shirangi United States	11	310 0.8×	250 0.9×	11 0.3×	33 0.9×	25 0.8×	17	364
Jiang Xie United States	15	531 1.3×	477 1.7×	10 0.2×	15 0.4×	119 3.7×	28	593

Countries citing papers authored by R.M. Fonseca

Since Specialization

Citations

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

Fields of papers citing papers by R.M. Fonseca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.M. Fonseca

This figure shows the co-authorship network connecting the top 25 collaborators of R.M. Fonseca. A scholar is included among the top collaborators of R.M. Fonseca 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 R.M. Fonseca. R.M. Fonseca 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:

20 of 20 papers shown

Fonseca, R.M., et al.. (2023). Field Development Optimization with Stochastic Gradient Method: Application to a Multi-Reservoir Carbonate Field in the Middle East. SPE Reservoir Characterisation and Simulation Conference and Exhibition. 3 indexed citations

Aken, Bas B. Van, et al.. (2021). Multi-Objective optimization of solar park design under climatic uncertainty. Solar Energy. 231. 958–969. 10 indexed citations

Fonseca, R.M., et al.. (2020). Combined wind turbine design and wind farm layout optimisation under wind resource uncertainty. Journal of Physics Conference Series. 1618(4). 42030–42030. 5 indexed citations

Hopman, J.J., et al.. (2020). Hydraulic Fracture Stage Design Optimization of a Dry Gas Field in the North Sea. 1–5. 1 indexed citations

Fonseca, R.M., et al.. (2019). Production Optimisation Under Uncertainty with Automated Scenario Reduction: A Real-Field Case Application. SPE Reservoir Characterisation and Simulation Conference and Exhibition. 3 indexed citations

Kahrobaei, S., et al.. (2019). Regional Scale Geothermal Field Development Optimization under Geological Uncertainties. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 7 indexed citations

Hanea, Remus G., et al.. (2019). Robust Multi-Objective Field Development Optimization for the Mariner Asset. SPE Reservoir Simulation Conference. 8 indexed citations

Fonseca, R.M., et al.. (2018). Automated Clustering Based Scenario Reduction To Accelerate Robust Life-Cycle Optimization. Proceedings. 5 indexed citations

Hanea, Remus G., et al.. (2018). Drill and Learn: A Decision-Making Work Flow To Quantify Value of Learning. SPE Reservoir Evaluation & Engineering. 22(3). 1131–1143. 14 indexed citations

10.

Fonseca, R.M., et al.. (2017). Improving the Computational Efficiency of Approximate Gradients Using a Multiscale Reservoir Simulation Framework. SPE Reservoir Simulation Conference. 1 indexed citations

11.

Fonseca, R.M., Albert C. Reynolds, & J. D. Jansen. (2016). Generation of a Pareto front for a bi-objective water flooding optimization problem using approximate ensemble gradients. Journal of Petroleum Science and Engineering. 147. 249–260. 29 indexed citations

12.

Fonseca, R.M.. (2015). A Modified Gradient Formulation for Ensemble Optimization under Geological Uncertainty. Research Repository (Delft University of Technology). 5 indexed citations

13.

Fonseca, R.M., O. Leeuwenburgh, E. Della Rossa, Paul M.J. Van den Hof, & J. D. Jansen. (2015). Ensemble-Based Multiobjective Optimization of On/Off Control Devices Under Geological Uncertainty. SPE Reservoir Evaluation & Engineering. 18(4). 554–563. 55 indexed citations

14.

Fonseca, R.M., O. Leeuwenburgh, E. Della Rossa, Paul M.J. Van den Hof, & J. D. Jansen. (2015). Ensemble-Based Multi-Objective Optimization of On-Off Control Devices Under Geological Uncertainty. TU/e Research Portal. 19 indexed citations

15.

Fonseca, R.M., O. Leeuwenburgh, Paul M.J. Van den Hof, & J. D. Jansen. (2014). Improving the Ensemble-Optimization Method Through Covariance-Matrix Adaptation. SPE Journal. 20(1). 155–168. 33 indexed citations

16.

Jansen, J. D., et al.. (2014). The egg model – a geological ensemble for reservoir simulation. Geoscience Data Journal. 1(2). 192–195. 155 indexed citations

17.

Fonseca, R.M., Andreas S. Stordal, O. Leeuwenburgh, Paul M.J. Van den Hof, & J. D. Jansen. (2014). Robust Ensemble-based Multi-objective Optimization. Proceedings. 42 indexed citations

18.

Fonseca, R.M., O. Leeuwenburgh, Paul M.J. Van den Hof, & J. D. Jansen. (2014). Ensemble-based hierarchical multi-objective production optimization of smart wells. Computational Geosciences. 18(3-4). 449–461. 27 indexed citations

19.

Fonseca, R.M., O. Leeuwenburgh, Paul M.J. Van den Hof, & J. D. Jansen. (2013). Improving the Ensemble Optimization Method Through Covariance Matrix Adaptation (CMA-EnOpt). TU/e Research Portal. 16 indexed citations

20.

Fonseca, R.M., O. Leeuwenburgh, & J. D. Jansen. (2012). Ensemble Based Multi-Objective Production Optimization of Smart Wells. Proceedings. 4 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.

Explore authors with similar magnitude of impact