Javier E. Santos

1.0k total citations · 1 hit paper
57 papers, 659 citations indexed

About

Javier E. Santos is a scholar working on Ocean Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Javier E. Santos has authored 57 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ocean Engineering, 22 papers in Mechanical Engineering and 11 papers in Computational Mechanics. Recurrent topics in Javier E. Santos's work include Hydraulic Fracturing and Reservoir Analysis (20 papers), Enhanced Oil Recovery Techniques (16 papers) and Reservoir Engineering and Simulation Methods (12 papers). Javier E. Santos is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (20 papers), Enhanced Oil Recovery Techniques (16 papers) and Reservoir Engineering and Simulation Methods (12 papers). Javier E. Santos collaborates with scholars based in United States, China and Spain. Javier E. Santos's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Scientific Reports.

In The Last Decade

Javier E. Santos

51 papers receiving 630 citations

Hit Papers

PoreFlow-Net: A 3D convolutional neural network to predic... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier E. Santos United States 15 321 228 166 143 105 57 659
Serveh Kamrava United States 15 341 1.1× 204 0.9× 231 1.4× 136 1.0× 177 1.7× 21 797
Saurabh M Shah United Kingdom 14 316 1.0× 257 1.1× 205 1.2× 101 0.7× 143 1.4× 22 603
C. Manwart Germany 7 300 0.9× 132 0.6× 257 1.5× 193 1.3× 117 1.1× 8 620
Yuzhu Wang China 18 307 1.0× 188 0.8× 333 2.0× 99 0.7× 45 0.4× 48 772
Alex Schwing Netherlands 7 696 2.2× 301 1.3× 396 2.4× 173 1.2× 300 2.9× 16 966
Honggeun Jo United States 11 283 0.9× 182 0.8× 112 0.7× 62 0.4× 96 0.9× 27 436
Lukas Mosser United Kingdom 8 280 0.9× 169 0.7× 142 0.9× 44 0.3× 60 0.6× 19 637
Nanzhe Wang China 16 329 1.0× 267 1.2× 62 0.4× 108 0.8× 230 2.2× 21 796
Gege Wen United States 7 271 0.8× 186 0.8× 76 0.5× 82 0.6× 296 2.8× 12 605

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-authorship network of co-authors of Javier E. Santos

This figure shows the co-authorship network connecting the top 25 collaborators of Javier E. Santos. A scholar is included among the top collaborators of Javier E. Santos 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 Javier E. Santos. Javier E. Santos 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
2.
Fernández‐Bañares, Fernando, Eva Tristán, Juanjo Lozano, et al.. (2025). Integrated Multi‐Omic Analysis Identifies Altered Colonic Brush Border Profile as a Key Feature of Microscopic Colitis. United European Gastroenterology Journal. 14(1). e70156–e70156.
3.
Temizel, Cenk, et al.. (2025). Permeability Prediction Using Vision Transformers. Mathematical and Computational Applications. 30(4). 71–71. 1 indexed citations
4.
Wang, Tianshu, Hailing Duan, Javier E. Santos, et al.. (2024). Intelligent treatment system based on bioinformatics and neuro-immune-digestive tract diseases. Alexandria Engineering Journal. 107. 415–433.
6.
Guiltinan, Eric, et al.. (2024). Journey over destination: dynamic sensor placement enhances generalization. Machine Learning Science and Technology. 5(2). 25070–25070. 2 indexed citations
7.
Purswani, Prakash, Javier E. Santos, Jeffrey D. Hyman, & Eric Guiltinan. (2024). Numerical investigation of multiphase flow through self-affine rough fractures. Advances in Water Resources. 195. 104852–104852.
8.
Abolt, Charles J., et al.. (2024). Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery. Machine Learning Science and Technology. 6(1). 15013–15013.
9.
Ma, Zhiwei, Javier E. Santos, Greg Lackey, Hari Viswanathan, & Daniel O’Malley. (2024). Information extraction from historical well records using a large language model. Scientific Reports. 14(1). 31702–31702. 3 indexed citations
10.
Mehana, Mohamed, Javier E. Santos, Daniel O’Malley, et al.. (2023). Prediction and uncertainty quantification of shale well performance using multifidelity Monte Carlo. Gas Science and Engineering. 110. 204877–204877. 2 indexed citations
11.
Santos, Javier E., et al.. (2023). Mitigation of spatial nonstationarity with vision transformers. Computers & Geosciences. 178. 105412–105412. 5 indexed citations
12.
Santos, Javier E., Zachary Fox, Arvind Mohan, et al.. (2023). Development of the Senseiver for efficient field reconstruction from sparse observations. Nature Machine Intelligence. 5(11). 1317–1325. 28 indexed citations
13.
Sweeney, Matthew, Jeffrey D. Hyman, Daniel O’Malley, et al.. (2023). Characterizing the Impacts of Multi‐Scale Heterogeneity on Solute Transport in Fracture Networks. Geophysical Research Letters. 50(21). 12 indexed citations
14.
Santos, Javier E., et al.. (2023). Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework. Energy storage materials. 63. 102927–102927. 18 indexed citations
15.
Santos, Javier E., et al.. (2022). MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX. 18. 101097–101097. 23 indexed citations
16.
Temizel, Cenk, et al.. (2022). Classifying Facies in 3D Digital Rock Images Using Supervised and Unsupervised Approaches. Energies. 15(20). 7660–7660. 6 indexed citations
17.
Santos, Javier E., Nicholas Lubbers, Mohamed Mehana, et al.. (2022). GLUE Code: A framework handling communication andinterfaces between scales. The Journal of Open Source Software. 7(80). 4822–4822. 1 indexed citations
18.
Song, Wenhui, Maša Prodanović, Javier E. Santos, et al.. (2022). Upscaling of Transport Properties in Complex Hydraulic Fracture Systems. SPE Journal. 28(3). 1026–1044. 8 indexed citations
19.
Santos, Javier E., Duo Xu, Maša Prodanović, & Michael J. Pyrcz. (2020). Characterizing effective flow units in a multiscale porous medium. 2 indexed citations
20.
Blázquez‐Castro, Alfonso, José Fernández‐Piqueras, & Javier E. Santos. (2020). Genetic Material Manipulation and Modification by Optical Trapping and Nanosurgery-A Perspective. Frontiers in Bioengineering and Biotechnology. 8. 580937–580937. 10 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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