Nam Pham
Impact in
- Geophysics top 2%
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Ocean Engineering top 1%
- Drilling and Well Engineering
- Reservoir Engineering and Simulation Methods
- Geophysical Methods and Applications
Papers in
- Geophysics 32
- Seismic Imaging and Inversion Techniques 31
- Seismic Waves and Analysis 16
-
- Drilling and Well Engineering 14
- Reservoir Engineering and Simulation Methods 8
- Co-authors
- Sergey FomelHarpreet KaurXinming WuDallas DunlapZhicheng GengEhsan Zabihi NaeiniYunzhi ShiGuillaume Caumon
- Journals
- Geophysics (8 papers)Geophysical Prospecting (4 papers)Applied Geochemistry (2 papers)Journal of Geophysical Research Solid Earth (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- United StatesChinaEgypt
In The Last Decade
Nam Pham
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 50
- Geophysics 854
- Ocean Engineering 516
- Geochemistry and Petrology 48
- Artificial Intelligence 239
- Mechanical Engineering 261
Countries citing papers authored by Nam Pham
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
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
The 25 scholars most cited alongside Nam Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 38 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 58 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 59 | |
| 15 | 2020 | 75 | |
| 16 | 2020 | 2 | |
| 17 | 2019 | 166 | |
| 18 | 2019 | 73 | |
| 19 | 2013 | 21 | |
| 20 | 2003 | 67 |
About Nam Pham
Nam Pham is a scholar working on Geophysics, Ocean Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (31 papers), Seismic Waves and Analysis (16 papers), Drilling and Well Engineering (14 papers), Seismology and Earthquake Studies (8 papers), Reservoir Engineering and Simulation Methods (8 papers), Hydraulic Fracturing and Reservoir Analysis (7 papers), Image and Signal Denoising Methods (6 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). The work is most often cited by research in Geophysics (854 citations), Ocean Engineering (516 citations), Geochemistry and Petrology (48 citations), Artificial Intelligence (239 citations) and Mechanical Engineering (261 citations). Nam Pham has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Sergey Fomel, Harpreet Kaur, Xinming Wu, Dallas Dunlap, Zhicheng Geng, Ehsan Zabihi Naeini, Yunzhi Shi, Guillaume Caumon, Hans B. Helle and José M. Carcione. Their work appears in journals such as Geophysics, Geophysical Prospecting, Applied Geochemistry, Journal of Geophysical Research Solid Earth and IEEE Transactions on Neural Networks and Learning Systems.
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.