Saïd Assous

22 papers receiving 290 citations

Peers

Saïd Assous
Comparison fields: 5 of 61
  • Ocean Engineering 59
  • Signal Processing 39
  • Geophysics 48
  • Computer Vision and Pattern Recognition 62
  • Mechanics of Materials 56
Replace H. Ahmadi Noubari with:
H. Ahmadi Noubari Iran
Albert Y. Ayenu-Prah United States
Tiantian Guo China
Pekka Eskelinen Finland
Benoît Augier France
Jacques Lemoine France
André Quinquis France
Yandan Jiang China
Lele Qu China
Angela Digulescu Romania
Saïd Assous relative to H. Ahmadi Noubari Iran H. Ahmadi Noubari's profile →
Citations per field
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H. Ahmadi Noubari · 1×
Citations per year

Countries citing papers authored by Saïd Assous

Since Specialization
Citations

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

Fields of papers citing papers by Saïd Assous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Saïd Assous, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saïd Assous Line = papers co-authored together Saïd Assous links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201287
2 200656
3 201344
4 201223
5 201412
6 201011
7 201410
8 201110
9 20058
10 20177
11 20147
12 20056
13 20134
14 20123
15 20073
16 20083
17 20063
18 20172
19 20212
20 20122

About Saïd Assous

Saïd Assous is a scholar working on Geophysics, Oceanography, Ocean Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 27 papers that have together received 306 indexed citations. Recurring topics across this work include Underwater Acoustics Research (8 papers), Seismic Imaging and Inversion Techniques (6 papers), Geophysical Methods and Applications (4 papers), Ultrasonics and Acoustic Wave Propagation (4 papers), Thermoregulation and physiological responses (3 papers), Image Processing Techniques and Applications (3 papers), Seismic Waves and Analysis (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Ocean Engineering (59 citations), Signal Processing (39 citations), Geophysics (48 citations), Computer Vision and Pattern Recognition (62 citations) and Mechanics of Materials (56 citations). Saïd Assous has collaborated with scholars based in United Kingdom, France and Algeria. Frequent co-authors include B. Boashash, Maylis Tartas, Pierre Abraham, Stuart Clark, A. L’Huillier, F. Bereksi‐Reguig, M. A. Lovell, John Rees, D. Gunn and Peter Jackson. Their work appears in journals such as The Journal of the Acoustical Society of America, Geophysics, Digital Signal Processing, IEEE Transactions on Biomedical Engineering and Physics in Medicine and Biology.

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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