Olivier Strauss

1.7k total citations
82 papers, 1.0k citations indexed

About

Olivier Strauss is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Olivier Strauss has authored 82 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 15 papers in Aerospace Engineering. Recurrent topics in Olivier Strauss's work include Advanced Vision and Imaging (12 papers), Robotics and Sensor-Based Localization (11 papers) and Medical Imaging Techniques and Applications (10 papers). Olivier Strauss is often cited by papers focused on Advanced Vision and Imaging (12 papers), Robotics and Sensor-Based Localization (11 papers) and Medical Imaging Techniques and Applications (10 papers). Olivier Strauss collaborates with scholars based in France, United States and Spain. Olivier Strauss's co-authors include William Puech, Marc Chaumont, Frédéric Comby, Inés Couso, Agnès Rico, Désiré Sidibé, M.J. Aldon, Bernadette Bouchon‐Meunier, Anne Laurent and Ronald R. Yager and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Olivier Strauss

78 papers receiving 985 citations

Peers

Olivier Strauss

CVPR

CTM

Joseph N. Wilson United States

En Fan China

Rudolf Scitovski Croatia

Driss Aboutajdine Morocco

Zhibin Pan China

Qian Yin China

Sahibsingh A. Dudani United States

Carlos López-Molina Spain

Godfried Toussaint Canada

Joseph N. Wilson United States

Olivier Strauss

431 ×0.8

CVPR

387 ×2.5

108 ×0.7

51 ×0.5

71 ×0.8

CTM

Citations per year, relative to Olivier Strauss Olivier Strauss (= 1×) peers Joseph N. Wilson

Countries citing papers authored by Olivier Strauss

Since Specialization

Citations

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

Fields of papers citing papers by Olivier Strauss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Strauss

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sánchez, Luciano, et al.. (2024). Integrating imprecise data in generative models using interval-valued Variational Autoencoders. Information Fusion. 114. 102659–102659. 2 indexed citations

Strauss, Olivier, et al.. (2024). Combining thresholded real values for designing an artificial neuron in a neural network. Fuzzy Sets and Systems. 499. 109191–109191.

Bouraoui, Zied, Antoine Cornuéjols, Thierry Denœux, et al.. (2024). Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. International Journal of Approximate Reasoning. 171. 109206–109206. 3 indexed citations

Rico, Agnès, et al.. (2022). Macsum aggregation learning. Fuzzy Sets and Systems. 459. 182–200. 1 indexed citations

Strauss, Olivier, et al.. (2022). Macsum: A new interval-valued linear operator. International Journal of Approximate Reasoning. 145. 121–138. 4 indexed citations

Strauss, Olivier, et al.. (2020). Brain 18F-FDG PET analysis via interval-valued reconstruction: proof of concept for Alzheimer’s disease diagnosis. Annals of Nuclear Medicine. 34(8). 565–574. 2 indexed citations

Strauss, Olivier & Agnès Rico. (2019). Where the domination of maxitive kernels is extended to signed values. 1–6. 1 indexed citations

Strauss, Olivier, et al.. (2018). Multidimensional possibility/probability domination for extending maxitive kernel based signal processing. Fuzzy Sets and Systems. 367. 1–18. 2 indexed citations

Bouallègue, Fayçal Ben, et al.. (2018). Confidence Interval Constraint-Based Regularization Framework for PET Quantization. IEEE Transactions on Medical Imaging. 38(6). 1513–1523. 3 indexed citations

10.

Allouis, T., et al.. (2018). DEVELOPING AND VALIDATING A PREDICTIVE MODEL OF MEASUREMENT UNCERTAINTY FOR MULTI-BEAM LIDARS: APPLICATION TO THE VELODYNE VLP-16. HAL (Le Centre pour la Communication Scientifique Directe). 1–5. 6 indexed citations

11.

Brichet, Nicolas, Christian Fournier, Olivier Turc, et al.. (2017). A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform. Plant Methods. 13(1). 96–96. 70 indexed citations

12.

Buvat, Irène, et al.. (2017). Interval-based reconstruction for uncertainty quantification in PET. Physics in Medicine and Biology. 63(3). 35014–35014. 9 indexed citations

13.

Couso, Inés, et al.. (2014). Generalizing the Wilcoxon rank-sum test for interval data. International Journal of Approximate Reasoning. 56. 108–121. 63 indexed citations

14.

Strauss, Olivier, et al.. (2014). Fighting Against Forged Documents By Using Textured Image. INFM-OAR (INFN Catania). 5 indexed citations

15.

Costalat, Vincent, Igor Lima Maldonado, Olivier Strauss, & Alain Bonafé. (2011). Toward accurate volumetry of brain aneurysms: Combination of an algorithm for automatic thresholding with a 3D eraser tool. Journal of Neuroscience Methods. 198(2). 294–300. 5 indexed citations

16.

Strauss, Olivier, et al.. (2010). Possibilistic signal processing: How to handle noise?. International Journal of Approximate Reasoning. 51(9). 1129–1144. 8 indexed citations

17.

Rico, Agnès & Olivier Strauss. (2010). Imprecise expectations for imprecise linear filtering. International Journal of Approximate Reasoning. 51(8). 933–947. 10 indexed citations

18.

Strauss, Olivier, et al.. (2009). NIBART: A New Interval Based Algebraic Reconstruction Technique for Error Quantification of Emission Tomography Images. Lecture notes in computer science. 12(Pt 1). 148–155. 6 indexed citations

19.

Puech, William, Marc Chaumont, & Olivier Strauss. (2008). A reversible data hiding method for encrypted images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6819. 68191E–68191E. 181 indexed citations

20.

Tisseyre, Bruno, et al.. (2005). Combination of heterogeneous data sets in Precision Viticulture. Bioresources and Bioprocessing. 10(1). 915–922. 2 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.

Explore authors with similar magnitude of impact