Daniel Trad
Impact in
- Geophysics top 1%
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Ocean Engineering top 0.5%
- Geophysical Methods and Applications
- Drilling and Well Engineering
- Reservoir Engineering and Simulation Methods
Papers in ⓘ
- Geophysics 51
- Seismic Imaging and Inversion Techniques 49
- Seismic Waves and Analysis 26
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- Geophysical Methods and Applications 12
- Drilling and Well Engineering 11
- Reservoir Engineering and Simulation Methods 10
- Co-authors
- Mauricio D. Sacchi (4 shared papers)Tadeusz J. Ulrych (5 shared papers)K. A. Innanen (16 shared papers)Jian Sun (7 shared papers)Junxiao Li (2 shared papers)Ali Fathalian (3 shared papers)Lee Hunt (2 shared papers)B. J. VerWest (2 shared papers)
In The Last Decade
Daniel Trad
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 63
- Geophysics 1.3k
- Ocean Engineering 622
- Computational Mathematics 18
- Computer Vision and Pattern Recognition 390
- Computational Mechanics 214
Countries citing papers authored by Daniel Trad
This map shows the geographic impact of Daniel Trad'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 Daniel Trad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Trad more than expected).
Fields of papers citing papers by Daniel Trad
This network shows the impact of papers produced by Daniel Trad. 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 Daniel Trad. The network helps show where Daniel Trad may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Trad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 320 | |
| 2 | 2002 | 241 | |
| 3 | 2009 | 203 | |
| 4 | 2019 | 167 | |
| 5 | 2003 | 96 | |
| 6 | 2000 | 69 | |
| 7 | 2023 | 44 | |
| 8 | 2008 | 35 | |
| 9 | 2008 | 25 | |
| 10 | 2010 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2003 | 19 | |
| 13 | 2012 | 17 | |
| 14 | 2004 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2007 | 12 |
About Daniel Trad
Daniel Trad is a scholar working on Geophysics, Ocean Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Geochemistry and Petrology, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (49 papers), Seismic Waves and Analysis (26 papers), Hydraulic Fracturing and Reservoir Analysis (13 papers), Geophysical Methods and Applications (12 papers), Drilling and Well Engineering (11 papers), Reservoir Engineering and Simulation Methods (10 papers), Image and Signal Denoising Methods (6 papers) and Geological Modeling and Analysis (6 papers). The work is most often cited by research in Geophysics (1.3k citations), Ocean Engineering (622 citations), Computational Mathematics (18 citations), Computer Vision and Pattern Recognition (390 citations) and Computational Mechanics (214 citations). Daniel Trad has collaborated with scholars based in Canada, France and China. Frequent co-authors include Mauricio D. Sacchi, Tadeusz J. Ulrych, K. A. Innanen, Jian Sun, Junxiao Li, Ali Fathalian, Lee Hunt, B. J. VerWest, Bin Liu and Jon Downton. Their work appears in journals such as Geophysics, IEEE Transactions on Geoscience and Remote Sensing, Geophysical Prospecting, Sensors and Computers & Geosciences.
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.