Nam Pham

1.4k total citations
42 papers, 1.0k citations indexed

About

Nam Pham is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Nam Pham has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Geophysics, 23 papers in Ocean Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Nam Pham's work include Seismic Imaging and Inversion Techniques (31 papers), Seismic Waves and Analysis (16 papers) and Drilling and Well Engineering (14 papers). Nam Pham is often cited by papers focused on Seismic Imaging and Inversion Techniques (31 papers), Seismic Waves and Analysis (16 papers) and Drilling and Well Engineering (14 papers). Nam Pham collaborates with scholars based in United States, China and Egypt. Nam Pham's co-authors include Sergey Fomel, Harpreet Kaur, Xinming Wu, Dallas Dunlap, Zhicheng Geng, Ehsan Zabihi Naeini, Yunzhi Shi, Guillaume Caumon, José M. Carcione and Hans B. Helle and has published in prestigious journals such as Geophysics, IEEE Transactions on Neural Networks and Learning Systems and Applied Geochemistry.

In The Last Decade

Nam Pham

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nam Pham United States 15 854 516 261 239 151 42 1.0k
Dengliang Gao United States 19 843 1.0× 494 1.0× 388 1.5× 120 0.5× 377 2.5× 53 1.0k
Amin Roshandel Kahoo Iran 18 756 0.9× 296 0.6× 145 0.6× 142 0.6× 128 0.8× 56 962
Joongmoo Byun South Korea 16 703 0.8× 495 1.0× 191 0.7× 215 0.9× 76 0.5× 119 868
Abdolrahim Javaherian Iran 14 452 0.5× 308 0.6× 264 1.0× 63 0.3× 215 1.4× 82 657
Yunzhi Shi United States 14 1.4k 1.7× 988 1.9× 501 1.9× 400 1.7× 217 1.4× 29 1.6k
Shuki Ronen United States 15 737 0.9× 453 0.9× 235 0.9× 78 0.3× 98 0.6× 111 872
Jie Qi United States 17 625 0.7× 370 0.7× 241 0.9× 133 0.6× 211 1.4× 50 745
Alexandre Campane Vidal Brazil 16 268 0.3× 311 0.6× 276 1.1× 101 0.4× 344 2.3× 89 749
Xu Chang China 16 773 0.9× 413 0.8× 246 0.9× 97 0.4× 102 0.7× 113 896
Marcílio Castro de Matos Brazil 12 479 0.6× 274 0.5× 163 0.6× 114 0.5× 166 1.1× 44 559

Countries citing papers authored by Nam Pham

Since Specialization
Citations

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

Fields of papers citing papers by Nam Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Nam Pham. A scholar is included among the top collaborators of Nam Pham 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 Nam Pham. Nam Pham 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.
Pham, Nam, et al.. (2024). Predicting missing sonic logs with seismic constraint. Geophysics. 89(3). D149–D157. 1 indexed citations
2.
Pham, Nam & Giang Son Tran. (2024). Apply a CNN-Based Ensemble Model to Chest-X Ray Image-Based Pneumonia Classification. Journal of Advances in Information Technology. 1205–1214. 2 indexed citations
3.
Di, Haibin, Nam Pham, & Aria Abubakar. (2023). Estimating geotechnical parameters using semisupervised learning: An example from the Dutch offshore wind farm zone. Geophysics. 89(1). WA85–WA93. 2 indexed citations
4.
Yang, Liuqing, Shoudong Wang, Xiaohong Chen, et al.. (2022). High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism. IEEE Transactions on Neural Networks and Learning Systems. 34(7). 3429–3443. 38 indexed citations
5.
Kaur, Harpreet, Sergey Fomel, & Nam Pham. (2022). Automated hyperparameter optimization for simulating boundary conditions for acoustic and elastic wave propagation using deep learning. Geophysics. 88(1). WA309–WA318. 1 indexed citations
6.
Kaur, Harpreet, Nam Pham, Sergey Fomel, et al.. (2022). A deep learning framework for seismic facies classification. Interpretation. 11(1). T107–T116. 7 indexed citations
7.
Pham, Nam & Sergey Fomel. (2022). Seismic data augmentation for automatic fault picking using deep learning. Geophysical Prospecting. 72(1). 125–141. 5 indexed citations
8.
Pham, Nam & Sergey Fomel. (2021). Uncertainty and interpretability analysis of encoder-decoder architecture for channel detection. Geophysics. 86(4). O49–O58. 14 indexed citations
9.
Pham, Nam & Weichang Li. (2021). Physics-constrained deep learning for ground roll attenuation. Geophysics. 87(1). V15–V27. 28 indexed citations
10.
Saad, Omar M., Guangtan Huang, Yunfeng Chen, et al.. (2021). SCALODEEP: A Highly Generalized Deep Learning Framework for Real‐Time Earthquake Detection. Journal of Geophysical Research Solid Earth. 126(4). 58 indexed citations
11.
Pham, Nam, Dallas Dunlap, & Sergey Fomel. (2021). Channel facies and faults multisegmentation in seismic volumes. 1430–1434. 2 indexed citations
12.
Kaur, Harpreet, Sergey Fomel, & Nam Pham. (2021). Boundary conditions for acoustic and elastic wave propagation using deep learning. 67. 1390–1394. 2 indexed citations
13.
Kaur, Harpreet, Sergey Fomel, & Nam Pham. (2021). A Fast Algorithm for Elastic Wave‐Mode Separation Using Deep Learning With Generative Adversarial Networks (GANs). Journal of Geophysical Research Solid Earth. 126(9). 16 indexed citations
14.
Kaur, Harpreet, Nam Pham, Sergey Fomel, et al.. (2021). A deep learning framework for seismic facies classification. 1420–1424. 7 indexed citations
15.
Kaur, Harpreet, Nam Pham, & Sergey Fomel. (2020). Improving the resolution of migrated images by approximating the inverse Hessian using deep learning. Geophysics. 85(4). WA173–WA183. 59 indexed citations
16.
Pham, Nam, Xinming Wu, & Ehsan Zabihi Naeini. (2020). Missing well log prediction using convolutional long short-term memory network. Geophysics. 85(4). WA159–WA171. 75 indexed citations
17.
18.
Wu, Xinming, Zhicheng Geng, Yunzhi Shi, et al.. (2019). Building realistic structure models to train convolutional neural networks for seismic structural interpretation. Geophysics. 85(4). WA27–WA39. 166 indexed citations
19.
Kaur, Harpreet, Nam Pham, & Sergey Fomel. (2019). Seismic data interpolation using CycleGAN. 2202–2206. 73 indexed citations
20.
Helle, Hans B., Nam Pham, & José M. Carcione. (2003). Velocity and attenuation in partially saturated rocks: poroelastic numerical experiments. Geophysical Prospecting. 51(6). 551–566. 67 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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