Alaa Saade

20 total papers · 679 total citations
3 papers, 89 citations indexed

About

Alaa Saade is a scholar working on Artificial Intelligence, Condensed Matter Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alaa Saade has authored 3 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Condensed Matter Physics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Alaa Saade's work include Bayesian Methods and Mixture Models (2 papers), Advanced Clustering Algorithms Research (2 papers) and Theoretical and Computational Physics (1 paper). Alaa Saade is often cited by papers focused on Bayesian Methods and Mixture Models (2 papers), Advanced Clustering Algorithms Research (2 papers) and Theoretical and Computational Physics (1 paper). Alaa Saade collaborates with scholars based in France, Burundi and United States. Alaa Saade's co-authors include Edan Lerner, Jie Lin, Matthieu Wyart, Alberto Rosso, Lenka Zdeborová, Marc Lelarge and Florent Krząkała and has published in prestigious journals such as Europhysics Letters (EPL), Journal of Physics Conference Series and arXiv (Cornell University).

In The Last Decade

Alaa Saade

2 papers receiving 89 citations

Author Peers

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

Author						Papers	Cites
Alaa Saade	71	56	30	11	9	3	89
Bernd Illing	135 1.9×	74 1.3×	15 0.5×	21 1.9×	6 0.7×	5	222
Georgios Tsekenis	141 2.0×	48 0.9×	70 2.3×	1 0.1×	22 2.4×	5	220
S.J. Zhou	71 1.0×	11 0.2×	49 1.6×		10 1.1×	3	137
C. Limbach	82 1.2×	18 0.3×	39 1.3×		3 0.3×	5	123
M. Jerkins	78 1.1×	11 0.2×	13 0.4×	14 1.3×	78 8.7×	4	151
F. C. Eversteyn	122 1.7×	12 0.2×	30 1.0×	4 0.4×	48 5.3×	4	289
Levan Jibuti	62 0.9×	234 4.2×	43 1.4×	14 1.3×	42 4.7×	5	291
Mahdiye Ijavi	39 0.5×	9 0.2×	8 0.3×	6 0.5×	6 0.7×	4	270
F. Pichoir	47 0.7×	6 0.1×	17 0.6×		12 1.3×	5	112
E. Billig	121 1.7×	13 0.2×	39 1.3×		10 1.1×	5	261

Countries citing papers authored by Alaa Saade

Since Specialization

Citations

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

Fields of papers citing papers by Alaa Saade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alaa Saade

This figure shows the co-authorship network connecting the top 25 collaborators of Alaa Saade. A scholar is included among the top collaborators of Alaa Saade 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 Alaa Saade. Alaa Saade 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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