J. A. Vargas-Guzmán

444 total citations
26 papers, 295 citations indexed

About

J. A. Vargas-Guzmán is a scholar working on Environmental Engineering, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, J. A. Vargas-Guzmán has authored 26 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 11 papers in Artificial Intelligence and 7 papers in Ocean Engineering. Recurrent topics in J. A. Vargas-Guzmán's work include Soil Geostatistics and Mapping (16 papers), Geochemistry and Geologic Mapping (10 papers) and Reservoir Engineering and Simulation Methods (7 papers). J. A. Vargas-Guzmán is often cited by papers focused on Soil Geostatistics and Mapping (16 papers), Geochemistry and Geologic Mapping (10 papers) and Reservoir Engineering and Simulation Methods (7 papers). J. A. Vargas-Guzmán collaborates with scholars based in United States, Saudi Arabia and Australia. J. A. Vargas-Guzmán's co-authors include T.‐C. Jim Yeh, Roussos Dimitrakopoulos, A. W. Warrick, Donald E. Myers, Javier Heredia, Luis Moreno Merino, Alicia Durán, Eulogio Pardo‐Igúzquiza, David Forsyth and Akhil Datta‐Gupta and has published in prestigious journals such as Journal of Environmental Quality, Advances in Water Resources and Computers & Geosciences.

In The Last Decade

J. A. Vargas-Guzmán

23 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. A. Vargas-Guzmán United States 10 169 97 94 77 41 26 295
Georges Verly United States 6 236 1.4× 166 1.7× 57 0.6× 111 1.4× 32 0.8× 6 385
Oy Leuangthong Canada 9 288 1.7× 199 2.1× 85 0.9× 149 1.9× 28 0.7× 23 434
Alain Maréchal France 3 183 1.1× 117 1.2× 38 0.4× 66 0.9× 28 0.7× 4 279
R. Froidevaux Switzerland 10 298 1.8× 117 1.2× 83 0.9× 47 0.6× 38 0.9× 21 426
Michael W. Davis United States 7 206 1.2× 88 0.9× 56 0.6× 66 0.9× 42 1.0× 14 406
Thomas Romary France 10 95 0.6× 78 0.8× 77 0.8× 69 0.9× 94 2.3× 33 288
Mohamad Nur Heriawan Indonesia 8 97 0.6× 109 1.1× 111 1.2× 66 0.9× 29 0.7× 27 301
Richard Sinding-Larsen Norway 8 81 0.5× 141 1.5× 30 0.3× 65 0.8× 20 0.5× 24 291
Adnan Tercan Türkiye 16 132 0.8× 120 1.2× 55 0.6× 122 1.6× 8 0.2× 68 575
Francky Fouedjio Australia 9 139 0.8× 120 1.2× 23 0.2× 48 0.6× 10 0.2× 15 261

Countries citing papers authored by J. A. Vargas-Guzmán

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Vargas-Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Vargas-Guzmán. 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 J. A. Vargas-Guzmán. The network helps show where J. A. Vargas-Guzmán may publish in the future.

Co-authorship network of co-authors of J. A. Vargas-Guzmán

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Vargas-Guzmán. A scholar is included among the top collaborators of J. A. Vargas-Guzmán 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 J. A. Vargas-Guzmán. J. A. Vargas-Guzmán 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.
Vargas-Guzmán, J. A., et al.. (2015). Uncertainty Quantification of Top Structures in 3D Geocellular Models. SPE Reservoir Characterisation and Simulation Conference and Exhibition. 1 indexed citations
2.
Pardo‐Igúzquiza, Eulogio, et al.. (2013). Mathematics of Planet Earth. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 39 indexed citations
3.
Forsyth, David & J. A. Vargas-Guzmán. (2013). Innovative Petrophysics to Understand the Spatial Gas Distribution in a Conventional Gas Reservoir With Unexpected Unconventional Characteristics. 3 indexed citations
4.
Vargas-Guzmán, J. A., et al.. (2011). Integration of 3D-seismic Impedance into High-resolution Geocellular Models using Non-collocated Downscaling. SPE Reservoir Characterisation and Simulation Conference and Exhibition.
5.
Vargas-Guzmán, J. A.. (2011). Heavy tailed probability distributions for non-Gaussian simulations with higher-order cumulant parameters predicted from sample data. Stochastic Environmental Research and Risk Assessment. 26(6). 765–776. 2 indexed citations
6.
Vargas-Guzmán, J. A.. (2011). The Kappa model of probability and higher-order rock sequences. Computational Geosciences. 15(4). 661–671. 6 indexed citations
8.
Vargas-Guzmán, J. A., et al.. (2009). Identification of high permeability zones from dynamic data using streamline simulation and inverse modeling of geology. Journal of Petroleum Science and Engineering. 69(3-4). 283–291. 9 indexed citations
10.
Vargas-Guzmán, J. A., et al.. (2008). Enhanced compartmentalization of a complex reservoir with sub-seismic faults from geological inversion. Journal of Petroleum Science and Engineering. 61(2-4). 108–115. 2 indexed citations
11.
Vargas-Guzmán, J. A.. (2007). Spatial modeling of heterogeneous initial water saturation. Journal of Petroleum Science and Engineering. 58(1-2). 283–292. 5 indexed citations
12.
Vargas-Guzmán, J. A., et al.. (2006). Spatial conditional simulation of facies objects for modeling complex clastic reservoirs. Journal of Petroleum Science and Engineering. 54(1-2). 1–9. 21 indexed citations
13.
Vargas-Guzmán, J. A.. (2005). Change of Support of Transformations: Conservation of Lognormality Revisited. Mathematical Geology. 37(6). 551–567. 9 indexed citations
14.
Vargas-Guzmán, J. A.. (2004). Geostatistics for Power Models of Gaussian Fields. Mathematical Geology. 36(3). 307–322. 9 indexed citations
15.
Vargas-Guzmán, J. A. & Roussos Dimitrakopoulos. (2003). Computational properties of min/max autocorrelation factors. Computers & Geosciences. 29(6). 715–723. 20 indexed citations
16.
Vargas-Guzmán, J. A. & Roussos Dimitrakopoulos. (2003). Successive Nonparametric Estimation of Conditional Distributions. Mathematical Geology. 35(1). 39–52. 13 indexed citations
17.
Vargas-Guzmán, J. A., Donald E. Myers, & A. W. Warrick. (2000). Derivatives of Spatial Variances of Growing Windows and the Variogram. Mathematical Geology. 32(7). 851–871. 8 indexed citations
18.
Vargas-Guzmán, J. A. & T.‐C. Jim Yeh. (1999). Sequential kriging and cokriging: Two powerful geostatistical approaches. Stochastic Environmental Research and Risk Assessment. 13(6). 416–435. 48 indexed citations
19.
Vargas-Guzmán, J. A. & A. W. Warrick. (1999). Geostatistics for Natural Resources Evaluation. Journal of Environmental Quality. 28(3). 1044–1044. 21 indexed citations
20.
Vargas-Guzmán, J. A., A. W. Warrick, & Donald E. Myers. (1999). Scale Effect on Principal Component Analysis for Vector Random Functions. Mathematical Geology. 31(6). 701–722. 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.

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