Saïd Ladjal

71 total papers · 679 total citations
24 papers, 425 citations indexed

About

Saïd Ladjal is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Saïd Ladjal has authored 24 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Saïd Ladjal's work include Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Saïd Ladjal is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Saïd Ladjal collaborates with scholars based in France and Japan. Saïd Ladjal's co-authors include Marouan Bouali, Jean–François Aujol, Simon Masnou, Yann Gousseau, Bin Luo, Isabelle Bloch, Alasdair Newson, Sylvain Berlemont, Florence Tupin and Leandro G. Almeida and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Saïd Ladjal

22 papers receiving 409 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Saïd Ladjal	281	181	70	65	52	24	425
Dan Wang	277 1.0×	167 0.9×	82 1.2×	65 1.0×	63 1.2×	40	495
Bryan Chou	248 0.9×	205 1.1×	79 1.1×	67 1.0×	18 0.3×	31	423
Tianyang Shi	295 1.0×	180 1.0×	36 0.5×	86 1.3×	56 1.1×	19	488
John A. Saghri	338 1.2×	115 0.6×	42 0.6×	34 0.5×	48 0.9×	41	457
Yifan Yang	301 1.1×	141 0.8×	14 0.2×	31 0.5×	41 0.8×	10	426
Meng Chang	334 1.2×	144 0.8×	12 0.2×	49 0.8×	40 0.8×	12	474
Sylvie Philipp‐Foliguet	278 1.0×	94 0.5×	17 0.2×	20 0.3×	47 0.9×	36	375
David W. Paglieroni	280 1.0×	57 0.3×	65 0.9×	43 0.7×	17 0.3×	36	396
Tao Hu	263 0.9×	73 0.4×	33 0.5×	49 0.8×	68 1.3×	35	392
Frédéric Falzon	309 1.1×	137 0.8×	28 0.4×	27 0.4×	34 0.7×	28	452

Countries citing papers authored by Saïd Ladjal

Since Specialization

Citations

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

Fields of papers citing papers by Saïd Ladjal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saïd Ladjal

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

All Works

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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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