A. Soares

2.6k total citations
101 papers, 1.9k citations indexed

About

A. Soares is a scholar working on Environmental Engineering, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, A. Soares has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Environmental Engineering, 38 papers in Ocean Engineering and 23 papers in Mechanical Engineering. Recurrent topics in A. Soares's work include Soil Geostatistics and Mapping (38 papers), Reservoir Engineering and Simulation Methods (36 papers) and Seismic Imaging and Inversion Techniques (22 papers). A. Soares is often cited by papers focused on Soil Geostatistics and Mapping (38 papers), Reservoir Engineering and Simulation Methods (36 papers) and Seismic Imaging and Inversion Techniques (22 papers). A. Soares collaborates with scholars based in Portugal, Brazil and Spain. A. Soares's co-authors include Ana Cristina Costa, Maria João Veloso da Costa Ramos Pereira, Cristina Branquinho, Leonardo Azevedo, Sofia Augusto, Rúben Nunes, Pedro Pinho, Ana Horta, Cristina Máguas and Fernando Catarino and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Technometrics.

In The Last Decade

A. Soares

97 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Soares Portugal 26 530 470 395 376 341 101 1.9k
Yuanyuan Zha China 30 429 0.8× 1.4k 3.0× 115 0.3× 313 0.8× 242 0.7× 132 2.7k
M. S. Mohan Kumar India 23 208 0.4× 654 1.4× 47 0.1× 280 0.7× 115 0.3× 81 1.6k
Peng Yang China 25 987 1.9× 238 0.5× 103 0.3× 188 0.5× 297 0.9× 79 1.8k
Ana Cláudia Teodoro Portugal 30 891 1.7× 1.0k 2.2× 37 0.1× 125 0.3× 279 0.8× 176 2.8k
Clinton M. Rowe United States 20 1.5k 2.9× 629 1.3× 263 0.7× 81 0.2× 1.4k 4.1× 44 3.4k
Michael N. Fienen United States 30 527 1.0× 1.9k 3.9× 36 0.1× 602 1.6× 166 0.5× 97 3.0k
G. Vachaud France 29 561 1.1× 2.2k 4.6× 60 0.2× 194 0.5× 455 1.3× 87 3.7k
Mohammad Reza Mansouri Daneshvar Iran 21 502 0.9× 251 0.5× 103 0.3× 50 0.1× 197 0.6× 74 1.3k
Indrajit Chowdhuri India 37 2.0k 3.8× 1.1k 2.4× 89 0.2× 97 0.3× 393 1.2× 80 3.4k
Chesheng Zhan China 30 1.5k 2.9× 711 1.5× 99 0.3× 266 0.7× 484 1.4× 87 2.7k

Countries citing papers authored by A. Soares

Since Specialization
Citations

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

Fields of papers citing papers by A. Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Soares

This figure shows the co-authorship network connecting the top 25 collaborators of A. Soares. A scholar is included among the top collaborators of A. Soares 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 A. Soares. A. Soares 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.
Linde, Niklas, et al.. (2024). Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows. Computers & Geosciences. 188. 105622–105622. 5 indexed citations
2.
3.
Soares, A., et al.. (2023). A Stochastic Model of an Early Warning System for Detecting Anomalous Incidence Values of COVID-19. Mathematical Geosciences. 56(1). 41–54.
4.
Soares, A., et al.. (2023). Pore Pressure Uncertainty Characterization Coupling Machine Learning and Geostatistical Modelling. Mathematical Geosciences. 56(4). 691–709. 2 indexed citations
5.
Soares, A., et al.. (2022). Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks. ACM Transactions on Spatial Algorithms and Systems. 8(4). 1–19. 8 indexed citations
6.
Azevedo, Leonardo, et al.. (2022). Generative Adversarial Network Applied to Ore Type Modeling in Complex Geological Environments. Mathematical Geosciences. 54(7). 1165–1182. 8 indexed citations
7.
Azevedo, Leonardo, et al.. (2020). Geostatistical Seismic Inversion with Self-Updating of Local Probability Distributions. Mathematical Geosciences. 53(5). 1073–1093. 8 indexed citations
8.
Azevedo, Leonardo, et al.. (2019). A Geostatistical Simulation of a Mineral Deposit using Uncertain Experimental Data. Minerals. 9(4). 247–247. 5 indexed citations
9.
Rodríguez‐Lizana, Antonio, et al.. (2017). Assessing Local Uncertainty of Soil Protection in an Olive Grove Area with Pruning Residues Cover: A Geostatistical Cosimulation Approach. Land Degradation and Development. 28(7). 2086–2097. 12 indexed citations
10.
Nunes, Rúben, et al.. (2017). Geostatistical seismic inversion for frontier exploration. Interpretation. 5(4). T477–T485. 2 indexed citations
11.
Nunes, Rúben, et al.. (2016). Geostatistical Seismic Inversion with Direct Sequential Simulation and Co-simulation with Multi-local Distribution Functions. Mathematical Geosciences. 49(5). 583–601. 24 indexed citations
12.
Pereira, Maria João Veloso da Costa Ramos, et al.. (2016). Geostatistical Data Fusion: Application to Red Edge Bands of Sentinel 2. 758–761. 3 indexed citations
13.
Azevedo, Leonardo, Rúben Nunes, & A. Soares. (2016). Genetic Programming in Geostatistical Reservoir Geophysics. 1208–1213. 2 indexed citations
14.
Azevedo, Leonardo, et al.. (2015). Integration of well data into geostatistical seismic amplitude variation with angle inversion for facies estimation. Geophysics. 80(6). M113–M128. 47 indexed citations
15.
Nunes, Rúben, Leonardo Azevedo, A. Soares, et al.. (2015). Acceleration of stochastic seismic inversion in OpenCL-based heterogeneous platforms. Computers & Geosciences. 78. 26–36. 13 indexed citations
16.
Pinho, Pedro, Esteve Llop, Manuel Ribeiro, et al.. (2014). Tools for determining critical levels of atmospheric ammonia under the influence of multiple disturbances. Environmental Pollution. 188. 88–93. 26 indexed citations
17.
Azevedo, Leonardo, et al.. (2013). Multidimensional scaling for the evaluation of a geostatistical seismic elastic inversion methodology. Geophysics. 79(1). M1–M10. 33 indexed citations
18.
Costa, Ana Cristina & A. Soares. (2007). Space-Time Interpolation and Uncertainty Assessment of an Extreme Precipitation Index Using Geostatistical Cosimulation. Revista de Estudos Anglo-Portugueses/Journal of Anglo-Portuguese Studies. 589–594. 2 indexed citations
19.
Soares, A., J. Jaime Gómez‐Hernández, & R. Froidevaux. (1997). geoENV I : geostatistics for environmental applications : proceedings of the Geostatistics for Environmental Applications Workshop, Lisbon, Portugal, 18-19 November 1996. Kluwer Academic eBooks. 1 indexed citations
20.

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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