Javier E. Santos

1.1k citations
57 papers · 715 · 1 hit paper · h-index 15

Impact in

    • Enhanced Oil Recovery Techniques
    • Reservoir Engineering and Simulation Methods
    • Drilling and Well Engineering
    • Groundwater flow and contamination studies

Papers in

    • Enhanced Oil Recovery Techniques 16
    • Reservoir Engineering and Simulation Methods 12
    • Drilling and Well Engineering 6
    • Hydraulic Fracturing and Reservoir Analysis 20

Javier E. Santos

53 papers receiving 697 citations

Javier E. Santos's Hit Papers

PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media 2020 · 187 citations
1870+2+4Years since publication50100150

Peers

Javier E. Santos
Comparison fields: 5 of 100
  • Ocean Engineering 333
  • Environmental Engineering 114
  • Computational Mechanics 150
  • Mechanics of Materials 173
  • Geophysics 91
Replace Serveh Kamrava with:
Serveh Kamrava United States
Honggeun Jo United States
Meng Tang United States
Salah A. Faroughi United States
Qinzhuo Liao China
Xupeng He Saudi Arabia
C. Manwart Germany
Mayur Pal Lithuania
Lukas Mosser United Kingdom
Javier E. Santos relative to Serveh Kamrava United States Serveh Kamrava's profile →
Citations per field
00.5×1.5×
Serveh Kamrava · 1×
Citations per year

Countries citing papers authored by Javier E. Santos

Since Specialization
Citations

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

Fields of papers citing papers by Javier E. Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier E. Santos. 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 Javier E. Santos. The network helps show where Javier E. Santos may publish in the future.

Co-authors

The 25 scholars most cited alongside Javier E. Santos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier E. Santos Line = papers co-authored together Javier E. Santos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
Hit paper breakdown →
2020187
2 202143
3 202338
4 202032
5 202030
6 202230
7 202429
8 202025
9 202225
10 202124
11 202122
12 202321
13 202117
14 202216
15 200914
16 202313
17 202211
18 202010
19 202210
20 202210

About Javier E. Santos

Javier E. Santos is a scholar working on Ocean Engineering, Mechanical Engineering, Computational Mechanics, Mechanics of Materials and Geophysics, having authored 57 papers that have together received 715 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (20 papers), Enhanced Oil Recovery Techniques (16 papers), Reservoir Engineering and Simulation Methods (12 papers), Lattice Boltzmann Simulation Studies (10 papers), Hydrocarbon exploration and reservoir analysis (9 papers), Seismic Imaging and Inversion Techniques (7 papers), Drilling and Well Engineering (6 papers) and Groundwater flow and contamination studies (5 papers). The work is most often cited by research in Ocean Engineering (333 citations), Environmental Engineering (114 citations), Computational Mechanics (150 citations), Mechanics of Materials (173 citations) and Geophysics (91 citations). Javier E. Santos has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Maša Prodanović, Michael J. Pyrcz, Honggeun Jo, Christopher J. Landry, Duo Xu, Hari Viswanathan, Qinjun Kang, Eric Guiltinan, Nicholas Lubbers and Daniel O’Malley. Their work appears in journals such as Gastroenterology, Machine Learning Science and Technology, Scientific Reports, Energies and Advances in Water Resources.

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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