Eduardo Gildin

1.9k total citations
133 papers, 1.4k citations indexed

About

Eduardo Gildin is a scholar working on Ocean Engineering, Mechanical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Eduardo Gildin has authored 133 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Ocean Engineering, 75 papers in Mechanical Engineering and 36 papers in Statistical and Nonlinear Physics. Recurrent topics in Eduardo Gildin's work include Reservoir Engineering and Simulation Methods (77 papers), Hydraulic Fracturing and Reservoir Analysis (69 papers) and Drilling and Well Engineering (40 papers). Eduardo Gildin is often cited by papers focused on Reservoir Engineering and Simulation Methods (77 papers), Hydraulic Fracturing and Reservoir Analysis (69 papers) and Drilling and Well Engineering (40 papers). Eduardo Gildin collaborates with scholars based in United States, Brazil and Canada. Eduardo Gildin's co-authors include Yalchin Efendiev, Mohammadreza Ghasemi, Tatyana Plaksina, Peter P. Valkó, Jerry L. Jensen, Xiaodan Ma, Behnam Jafarpour, Victor M. Calo, Christodoulos A. Floudas and Burcu Beykal and has published in prestigious journals such as Journal of Computational Physics, Industrial & Engineering Chemistry Research and Energy & Fuels.

In The Last Decade

Eduardo Gildin

117 papers receiving 1.4k citations

Peers

Eduardo Gildin
Haibin Chang China
Pallav Sarma United States
Héctor Klíe United States
Nanzhe Wang China
Daolun Li China
J. D. Jansen Netherlands
David A. Barajas‐Solano United States
Sergey Oladyshkin Germany
Wenshu Zha China
Meng Tang United States
Haibin Chang China
Eduardo Gildin
Citations per year, relative to Eduardo Gildin Eduardo Gildin (= 1×) peers Haibin Chang

Countries citing papers authored by Eduardo Gildin

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Gildin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Gildin

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Gildin. A scholar is included among the top collaborators of Eduardo Gildin 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 Eduardo Gildin. Eduardo Gildin 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.
Gildin, Eduardo, et al.. (2025). Gradient boosting trees feature importance for detecting interwell connectivity in an oilfield. Geosystem Engineering. 29(1). 146–163.
2.
Braga-Neto, Ulisses, et al.. (2025). Physics-Informed Neural Networks for CO 2 migration modeling in stratified saline aquifers: Applications in geological carbon sequestration. Geoenergy Science and Engineering. 247. 213689–213689. 1 indexed citations
3.
Gildin, Eduardo, et al.. (2025). Surrogate-Assisted Optimization of Highly Constrained Oil Recovery Processes Using Classification-Based Constraint Modeling. Industrial & Engineering Chemistry Research. 64(15). 7751–7766. 2 indexed citations
4.
Gildin, Eduardo, et al.. (2025). Dynamic mode decomposition accelerated forecast and optimization of geological CO2 storage in deep saline aquifers. Computers & Chemical Engineering. 204. 109377–109377.
5.
Camponogara, Eduardo, et al.. (2025). Identifying large-scale linear parameter varying systems with dynamic mode decomposition methods. Journal of Computational Physics. 539. 114230–114230.
6.
Gildin, Eduardo, et al.. (2024). Neural operator-based proxy for reservoir simulations considering varying well settings, locations, and permeability fields. Computers & Geosciences. 196. 105826–105826. 8 indexed citations
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9.
Menand, Stéphane, et al.. (2024). Practical Challenges to Consider for Model-Based Engineering in Drilling Automation. IADC/SPE International Drilling Conference and Exhibition. 1 indexed citations
10.
Yoon, Duhee, et al.. (2024). Comparing Open-Source Drill String Models: Establishing Test Cases and Methods. SPE Annual Technical Conference and Exhibition. 3 indexed citations
11.
Chen, Jian, et al.. (2024). Assessing Risk In Long-term CO2 Storage Under Uncertainty Via Survival Analysis-based Surrogates. SPE Annual Technical Conference and Exhibition.
12.
Zhang, Ruxin, et al.. (2024). Enhancing Oil Recovery in Eagle Ford Shale: A Multiscale Simulation Study of Surfactant Huff ’n’ Puff Methodology. SPE Journal. 29(12). 7180–7193. 1 indexed citations
13.
Gildin, Eduardo, et al.. (2024). Data-Driven Estimation of Flowing Bottom-Hole Pressure in Petroleum Wells Using Long Short-Term Memory. 1530–1537. 1 indexed citations
14.
Gildin, Eduardo, et al.. (2024). Optimization of pressure management strategies for geological CO2 storage using surrogate model-based reinforcement learning. International journal of greenhouse gas control. 138. 104262–104262. 11 indexed citations
15.
Gildin, Eduardo, et al.. (2023). Guided Deep Learning Manifold Linearization of Porous Media Flow Equations. SPE Journal. 29(2). 885–908. 2 indexed citations
16.
Antonelo, Eric Aislan, et al.. (2023). Investigation of proper orthogonal decomposition for echo state networks. Neurocomputing. 548. 126395–126395. 9 indexed citations
17.
Gildin, Eduardo, et al.. (2018). Mapping the Barnett Shale Gas With Probabilistic Physics-Based Decline Curve Models and the Development of a Localized Prior Distribution. Proceedings of the 6th Unconventional Resources Technology Conference. 4 indexed citations
18.
Gildin, Eduardo, et al.. (2017). Dimensionality reduction for production optimization using polynomial approximations. Computational Geosciences. 21(2). 247–266. 33 indexed citations
19.
Gildin, Eduardo, et al.. (2017). Combining Physics, Statistics and Heuristics in the Decline Curve Analysis of Large Datasets in Unconventional Reservoirs. SPE Latin America and Caribbean Petroleum Engineering Conference. 13 indexed citations
20.
Farthing, Matthew W., et al.. (2016). POD-based model reduction for stabilized finite element approximations of shallow water flows. Journal of Computational and Applied Mathematics. 302. 50–70. 17 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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