Leila Aliouane
- Mechanics of Materials top 10%
- Geophysics top 10%
- Ocean Engineering top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Sid‐Ali OuadfeulMohamed Zinelabidine DoghmaneBassem S. NabawyMohamed HamoudiNadjib Badache
- Topics
- Seismic Imaging and Inversion Techniques (19 papers)Hydrocarbon exploration and reservoir analysis (14 papers)Geophysical and Geoelectrical Methods (12 papers)
In The Last Decade
Leila Aliouane
37 papers receiving 233 citations
Peers
Comparison fields: 5 of 48
- Mechanics of Materials 129
- Geophysics 112
- Ocean Engineering 81
- Mechanical Engineering 76
- Artificial Intelligence 50
Countries citing papers authored by Leila Aliouane
This map shows the geographic impact of Leila Aliouane'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 Leila Aliouane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leila Aliouane more than expected).
Fields of papers citing papers by Leila Aliouane
This network shows the impact of papers produced by Leila Aliouane. 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 Leila Aliouane. The network helps show where Leila Aliouane may publish in the future.
Co-authorship network of co-authors of Leila Aliouane
This figure shows the co-authorship network connecting the top 25 collaborators of Leila Aliouane. A scholar is included among the top collaborators of Leila Aliouane 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 Leila Aliouane. Leila Aliouane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | Pore Pressure prediction in shale gas reservoirs using neural network and fuzzy logic with an application to Barnett Shale. | 4 |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | Structural boundaries delimitation from aeromagnetic data using the horizontal gradient and the continuous wavelet transform. | 1 |
| 16 | Multiscale analysis of noisy 3D GPR data using the Directional Continuous Wavelet transform (DCWT) | 1 |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | L'Authentification dans les réseaux ad hoc | 0 |
About Leila Aliouane
Leila Aliouane is a scholar working on Geophysics, Ocean Engineering and Mechanics of Materials, having authored 41 papers that have together received 261 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (19 papers), Hydrocarbon exploration and reservoir analysis (14 papers) and Geophysical and Geoelectrical Methods (12 papers). The work is most often cited by research in Geophysics (112 citations), Ocean Engineering (81 citations) and Mechanics of Materials (129 citations). Leila Aliouane has collaborated with scholars based in Algeria and Egypt. Frequent co-authors include Sid‐Ali Ouadfeul, Mohamed Zinelabidine Doghmane, Bassem S. Nabawy, Mohamed Hamoudi and Nadjib Badache. Their work appears in journals such as Journal of African Earth Sciences, The Leading Edge and Arabian Journal for Science and Engineering.
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.