Amor Keziou

556 citations
27 papers · 289 indexed · h-index 11
Topics
Statistical Methods and Inference (14 papers)Financial Risk and Volatility Modeling (9 papers)Blind Source Separation Techniques (6 papers)
Partner nations
FranceMoroccoAlgeria

In The Last Decade

Amor Keziou

25 papers receiving 273 citations

Peers

Amor Keziou
Comparison fields: 5 of 65
  • Statistics and Probability 159
  • Artificial Intelligence 71
  • Finance 64
  • Signal Processing 43
  • Statistical and Nonlinear Physics 26
Replace Yves Romain with:
Yves Romain France
Xiaohai Sun Germany
Tarmo Pukkila Finland
Filipe J. Marques Portugal
K. Dzhaparidze Netherlands
Ernst Stadlober Austria
Gérard Gregoire France
M. M. Gabr Egypt
Tiefeng Ma China
Sally Wood Australia
Amor Keziou relative to Yves Romain France Yves Romain's profile →
Citations per field
00.5×4.3×
Yves Romain · 1×
Citations per year

Countries citing papers authored by Amor Keziou

Since Specialization
Citations

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

Fields of papers citing papers by Amor Keziou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amor Keziou

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4 0
5 2
6 14
7
Blind source separation of independent/dependent signals using a measure on copulas
3
8 26
9 12
10
New estimates and tests of independence in semiparametric copula models
15
11
ON GENERALIZED EMPIRICAL LIKELIHOOD METHODS
1
12 4
13 18
14 3
15 8
16 49
17 23
18 10
19 34
20 2

About Amor Keziou

Amor Keziou is a scholar working on Statistics and Probability, Finance and Signal Processing, having authored 27 papers that have together received 289 indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Financial Risk and Volatility Modeling (9 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Statistics and Probability (159 citations), Finance (64 citations) and Signal Processing (43 citations). Amor Keziou has collaborated with scholars based in France, Morocco and Algeria. Frequent co-authors include Salim Bouzebda, Michel Broniatowski, Éric Moreau, Michaël Paris, Michel Couderchet, Emmanuel Guillon, Stéphanie Sayen, Abdelilah Hakim and Hacène Fouchal. Their work appears in journals such as The Science of The Total Environment, Sensors and Signal Processing.

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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