J.-M. Augustin

419 total citations
19 papers, 277 citations indexed

About

J.-M. Augustin is a scholar working on Oceanography, Ocean Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, J.-M. Augustin has authored 19 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oceanography, 7 papers in Ocean Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in J.-M. Augustin's work include Underwater Acoustics Research (12 papers), Geophysical Methods and Applications (5 papers) and Image Retrieval and Classification Techniques (3 papers). J.-M. Augustin is often cited by papers focused on Underwater Acoustics Research (12 papers), Geophysical Methods and Applications (5 papers) and Image Retrieval and Classification Techniques (3 papers). J.-M. Augustin collaborates with scholars based in France, Sweden and Romania. J.-M. Augustin's co-authors include Xavier Lurton, Samantha Dugelay, J.-M. Boucher, Imen El Karoui, Ronan Fablet, M. Voisset, Christine Graffigne, E. Pouliquen, Jacques Populus and Lena Jönsson and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

J.-M. Augustin

19 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.-M. Augustin France 10 195 95 59 55 43 19 277
Samantha Dugelay Belgium 12 195 1.0× 156 1.6× 32 0.5× 64 1.2× 38 0.9× 29 323
Qunyan Ren China 9 266 1.4× 166 1.7× 57 1.0× 17 0.3× 28 0.7× 54 326
Steve Stanic United States 11 259 1.3× 172 1.8× 56 0.9× 6 0.1× 38 0.9× 31 315
P. Abbot United States 7 276 1.4× 116 1.2× 76 1.3× 12 0.2× 40 0.9× 11 331
Yuan Le China 8 105 0.5× 39 0.4× 77 1.3× 22 0.4× 14 0.3× 22 317
John C. Osler United States 13 317 1.6× 202 2.1× 56 0.9× 10 0.2× 171 4.0× 45 498
María Teresa de Tena Rey Canada 7 243 1.2× 112 1.2× 6 0.1× 89 1.6× 9 0.2× 27 452
Marcel Rothenbeck Germany 6 77 0.4× 68 0.7× 37 0.6× 27 0.5× 20 0.5× 12 173
Subramaniam D. Rajan United States 14 419 2.1× 335 3.5× 78 1.3× 10 0.2× 200 4.7× 35 492
J. Dufour France 5 233 1.2× 105 1.1× 9 0.2× 27 0.5× 7 0.2× 9 348

Countries citing papers authored by J.-M. Augustin

Since Specialization
Citations

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

Fields of papers citing papers by J.-M. Augustin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-M. Augustin. 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 J.-M. Augustin. The network helps show where J.-M. Augustin may publish in the future.

Co-authorship network of co-authors of J.-M. Augustin

This figure shows the co-authorship network connecting the top 25 collaborators of J.-M. Augustin. A scholar is included among the top collaborators of J.-M. Augustin 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 J.-M. Augustin. J.-M. Augustin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Karoui, Imen El, Ronan Fablet, J.-M. Boucher, & J.-M. Augustin. (2010). Variational Region-Based Segmentation Using Multiple Texture Statistics. IEEE Transactions on Image Processing. 19(12). 3146–3156. 23 indexed citations
2.
Augustin, J.-M., et al.. (2009). High-Performance Designs for Linear Algebra Operations on Image Processing. 1(1). 45–50. 2 indexed citations
3.
Karoui, Imen El, Ronan Fablet, J.-M. Boucher, & J.-M. Augustin. (2009). Seabed Segmentation Using Optimized Statistics of Sonar Textures. IEEE Transactions on Geoscience and Remote Sensing. 47(6). 1621–1631. 33 indexed citations
4.
Karoui, Imen El, Ronan Fablet, J.-M. Boucher, Wojciech Pieczynski, & J.-M. Augustin. (2008). Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation. Pattern Analysis and Applications. 11(3-4). 425–434. 16 indexed citations
5.
Isar, Alexandru, et al.. (2005). Multi-scale MAP despeckling of sonar images. 12. 1292–1297 Vol. 2. 7 indexed citations
6.
Boucher, J.-M., et al.. (2005). Statistical discrimination of seabed textures in sonar images using co-occurrence statistics. HAL (Le Centre pour la Communication Scientifique Directe). 18. 605–610 Vol. 1. 5 indexed citations
7.
Augustin, J.-M. & Xavier Lurton. (2005). Image amplitude calibration and processing for seafloor mapping sonars. 698–701 Vol. 1. 31 indexed citations
8.
Zerr, Benoît, et al.. (2004). Sonar detection and monitoring of sunken heavy fuel oil on the seafloor. 8 indexed citations
9.
Boucher, J.-M., et al.. (2003). Angular dependence of statistical distributions for backscattered signals: modelling and application to multibeam echosounder data. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 28. 897–903 Vol.2. 5 indexed citations
10.
Lurton, Xavier, Samantha Dugelay, & J.-M. Augustin. (2002). Analysis of multibeam echo-sounder signals from the deep seafloor. 3. III/213–III/218. 18 indexed citations
11.
Augustin, J.-M., Samantha Dugelay, Xavier Lurton, & M. Voisset. (2002). Applications of an image segmentation technique to multibeam echo-sounder data. 2. 1365–1369. 8 indexed citations
12.
Augustin, J.-M., et al.. (2002). Postprocessing and signal corrections for multibeam echosounder images. 1. 23–26. 17 indexed citations
13.
Augustin, J.-M., et al.. (2002). Sonar mosaic computation from multibeam echo sounder. 2. II/433–II/438. 9 indexed citations
14.
Augustin, J.-M. & Xavier Lurton. (2002). Maximum swath width obtainable with multibeam echosounders-comparison and discussion of experiments vs predictions. 1. 234–238. 2 indexed citations
15.
Dugelay, Samantha, Christine Graffigne, & J.-M. Augustin. (1996). <title>Deep seafloor characterization with multibeam echosounders by image segmentation using angular acoustic variations</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 11 indexed citations
16.
Dugelay, Samantha, Christine Graffigne, & J.-M. Augustin. (1996). Segmentation of multibeam acoustic imagery in the exploration of the deep sea-bottom. 3. 437–446 vol.2. 12 indexed citations
17.
Augustin, J.-M., et al.. (1996). Contribution of the multibeam acoustic imagery to the exploration of the sea-bottom. Marine Geophysical Research. 18(2-4). 459–486. 41 indexed citations
18.
Populus, Jacques, et al.. (1991). The use of SPOT data for wave analysis. Remote Sensing of Environment. 36(1). 55–65. 23 indexed citations
19.
Berné, Serge, et al.. (1986). Cartographie et interpretation de la dynamique sedimentaire des plates-formes continentales; ameliorations de la technique d'observation par sonar lateral. Bulletin de la Société Géologique de France. II(3). 437–446. 6 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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