Salem Said

794 total citations · 1 hit paper
21 papers, 433 citations indexed

About

Salem Said is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, Salem Said has authored 21 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Geometry and Topology and 7 papers in Artificial Intelligence. Recurrent topics in Salem Said's work include Morphological variations and asymmetry (6 papers), Bayesian Methods and Mixture Models (5 papers) and Image Retrieval and Classification Techniques (5 papers). Salem Said is often cited by papers focused on Morphological variations and asymmetry (6 papers), Bayesian Methods and Mixture Models (5 papers) and Image Retrieval and Classification Techniques (5 papers). Salem Said collaborates with scholars based in France, Australia and Romania. Salem Said's co-authors include Yannick Berthoumieu, Marco Congedo, Christian Jutten, Paolo Zanini, Nicolas Le Bihan, Stephen J. Sangwine, Jonathan H. Manton, Lionel Bombrun, Marc Donias and Jean‐Pierre da Costa and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

Salem Said

18 papers receiving 425 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces

2017 263 citations Paolo Zanini, Marco Congedo et al. IEEE Transactions on Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salem Said France	8	243	89	83	76	76	21	433
Clive Cheong Took United Kingdom	11	408 1.7×	274 3.1×	106 1.3×	85 1.1×	81 1.1×	37	697
Yuanyuan Shen China	5	212 0.9×	41 0.5×	114 1.4×	12 0.2×	87 1.1×	10	432
Yanli Zhang China	8	237 1.0×	133 1.5×	62 0.7×	23 0.3×	91 1.2×	16	395
Ozan Özdenizci United States	11	269 1.1×	50 0.6×	76 0.9×	45 0.6×	164 2.2×	26	547
Yi Xia China	12	181 0.7×	44 0.5×	44 0.5×	57 0.8×	72 0.9×	30	392
Saideh Ferdowsi United Kingdom	12	160 0.7×	186 2.1×	32 0.4×	18 0.2×	99 1.3×	36	545
Morteza Alamgir Germany	7	342 1.4×	90 1.0×	80 1.0×	122 1.6×	35 0.5×	10	481
Atsunori Kanemura Japan	12	212 0.9×	61 0.7×	42 0.5×	55 0.7×	133 1.8×	43	473
Yoshikazu Washizawa Japan	9	151 0.6×	119 1.3×	49 0.6×	58 0.8×	65 0.9×	38	302
Yunbo Tang China	11	274 1.1×	93 1.0×	65 0.8×	29 0.4×	53 0.7×	27	434

Countries citing papers authored by Salem Said

Since Specialization

Citations

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

Fields of papers citing papers by Salem Said

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salem Said

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

All Works

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20 of 20 papers shown

Zois, Elias N., et al.. (2023). Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification. Pattern Recognition Letters. 167. 67–74. 5 indexed citations

Said, Salem, et al.. (2022). Riemannian Statistics Meets Random Matrix Theory: Toward Learning From High-Dimensional Covariance Matrices. IEEE Transactions on Information Theory. 69(1). 472–481. 3 indexed citations

Bombrun, Lionel, et al.. (2018). Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. HAL (Le Centre pour la Communication Scientifique Directe). 506–50609. 8 indexed citations

Bombrun, Lionel, et al.. (2018). Fisher Vector Coding for Covariance Matrix Descriptors Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. Journal of Imaging. 4(7). 85–85. 6 indexed citations

Zanini, Paolo, Marco Congedo, Christian Jutten, Salem Said, & Yannick Berthoumieu. (2017). Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces. IEEE Transactions on Biomedical Engineering. 65(5). 1107–1116. 263 indexed citations breakdown →

Zanini, Paolo, Salem Said, Charles C. Cavalcante, & Yannick Berthoumieu. (2017). Stochastic EM algorithm for mixture estimation on manifolds. 1–5.

Said, Salem, et al.. (2016). An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification. 30. 2196–2200. 1 indexed citations

Said, Salem, et al.. (2016). Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. Entropy. 18(3). 98–98. 6 indexed citations

Donias, Marc, et al.. (2016). Structure Tensor Riemannian Statistical Models for CBIR and Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 55(1). 248–260. 23 indexed citations

10.

Said, Salem, et al.. (2015). Filtering from observations on Stiefel manifolds. Signal Processing. 122. 52–64. 10 indexed citations

11.

Said, Salem, Lionel Bombrun, & Yannick Berthoumieu. (2015). Texture classification using Rao's distance: An EM algorithm on the poincaré half plane. 6801. 3466–3470. 1 indexed citations

12.

Boukouvalas, Zois, Salem Said, Lionel Bombrun, Yannick Berthoumieu, & Tülay Adalı. (2015). A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation. IEEE Signal Processing Letters. 22(12). 2314–2318. 10 indexed citations

13.

Said, Salem & Jonathan H. Manton. (2013). On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM Journal on Control and Optimization. 51(1). 767–783. 9 indexed citations

14.

Said, Salem, Pierre‐Olivier Amblard, & Jonathan H. Manton. (2013). Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. IEEE Transactions on Information Theory. 59(6). 3497–3513.

15.

Said, Salem & Jonathan H. Manton. (2012). Brownian Processes for Monte Carlo Integration on Compact Lie Groups. Stochastic Analysis and Applications. 30(6). 1062–1082. 2 indexed citations

16.

Said, Salem & Jonathan H. Manton. (2012). Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Transactions on Information Theory. 58(6). 3521–3535. 9 indexed citations

17.

Said, Salem, Christian Lageman, Nicolas Le Bihan, & Jonathan H. Manton. (2010). Decompounding on Compact Lie Groups. IEEE Transactions on Information Theory. 56(6). 2766–2777. 6 indexed citations

18.

Said, Salem, Nicolas Le Bihan, Christian Lageman, & Jonathan H. Manton. (2009). Nonparametric estimation for compound poisson processes on compact Lie groups. HAL (Le Centre pour la Communication Scientifique Directe). 3409–3412. 1 indexed citations

19.

Said, Salem, Nicolas Le Bihan, & Stephen J. Sangwine. (2009). A Stability Approach to The Analysis of Rotation Time Series. IFAC Proceedings Volumes. 42(10). 1445–1450.

20.

Said, Salem, Nicolas Le Bihan, & Stephen J. Sangwine. (2008). Fast Complexified Quaternion Fourier Transform. IEEE Transactions on Signal Processing. 56(4). 1522–1531. 64 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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