Nabil Benoudjit

988 total citations
33 papers, 715 citations indexed

About

Nabil Benoudjit is a scholar working on Biomedical Engineering, Analytical Chemistry and Artificial Intelligence. According to data from OpenAlex, Nabil Benoudjit has authored 33 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 11 papers in Analytical Chemistry and 9 papers in Artificial Intelligence. Recurrent topics in Nabil Benoudjit's work include Spectroscopy and Chemometric Analyses (11 papers), Advanced Chemical Sensor Technologies (7 papers) and Water Quality Monitoring and Analysis (6 papers). Nabil Benoudjit is often cited by papers focused on Spectroscopy and Chemometric Analyses (11 papers), Advanced Chemical Sensor Technologies (7 papers) and Water Quality Monitoring and Analysis (6 papers). Nabil Benoudjit collaborates with scholars based in Algeria, France and Italy. Nabil Benoudjit's co-authors include Michel Verleysen, Farid Melgani, Marc Meurens, Redha Benzid, Cédric Archambeau, John A. Lee, Amaury Lendasse, Ayache Bouakaz, D. François and Rochdi Merzouki and has published in prestigious journals such as Applied Energy, Chemometrics and Intelligent Laboratory Systems and Ultrasonics.

In The Last Decade

Nabil Benoudjit

30 papers receiving 679 citations

Peers

Nabil Benoudjit
Yang Tao China
Shijin Li China
Peng Huang China
Ivica Kostanic United States
Dingsheng Wan China
Zhendong Wang China
Jindong Xu China
Prudhvi Gurram United States
Yang Tao China
Nabil Benoudjit
Citations per year, relative to Nabil Benoudjit Nabil Benoudjit (= 1×) peers Yang Tao

Countries citing papers authored by Nabil Benoudjit

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Benoudjit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabil Benoudjit

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil Benoudjit. A scholar is included among the top collaborators of Nabil Benoudjit 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 Nabil Benoudjit. Nabil Benoudjit 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
1.
Bouakaz, Ayache, et al.. (2022). Enhanced Ultrasound Classification of Microemboli Using Convolutional Neural Network. International Journal of Information Technology & Decision Making. 22(4). 1169–1194.
2.
Ghoggali, Noureddine, et al.. (2021). Genetic robust kernel sample selection for chemometric data analysis. Journal of Chemometrics. 35(6). 1 indexed citations
3.
Ababsa, Fakhreddine, et al.. (2019). An Efficient Human Activity Recognition Technique Based on Deep Learning. Pattern Recognition and Image Analysis. 29(4). 702–715. 16 indexed citations
4.
5.
Benoudjit, Nabil, et al.. (2017). An automated microemboli detection and classification system using backscatter RF signals and differential evolution. Australasian Physical & Engineering Sciences in Medicine. 40(1). 85–99. 6 indexed citations
6.
Bouakaz, Ayache, et al.. (2017). Unsupervised cluster‐based method for segmenting biological tumour volume of laryngeal tumours in 18 F‐FDG‐PET images. IET Image Processing. 11(6). 389–396. 3 indexed citations
7.
Melgani, Farid, et al.. (2012). Kernel ridge regression with active learning for wind speed prediction. Applied Energy. 103. 328–340. 128 indexed citations
8.
Melgani, Farid, et al.. (2012). Active learning for spectroscopic data regression. Journal of Chemometrics. 26(7). 374–383. 31 indexed citations
9.
Benoudjit, Nabil, et al.. (2012). Selection of a suitable mother wavelet for microemboli classification using SVM and RF signals. 36. 1–4. 7 indexed citations
10.
Benoudjit, Nabil, et al.. (2012). A robust regression approach for spectrophotometric signal analysis. Journal of Chemometrics. 26(7). 400–405. 4 indexed citations
11.
Melgani, Farid, et al.. (2012). SVR active learning for product quality control. Institutional Research Information System (Università degli Studi di Trento). 122. 1113–1117. 5 indexed citations
12.
Benoudjit, Nabil, et al.. (2011). A two-stage regression approach for spectroscopic quantitative analysis. Chemometrics and Intelligent Laboratory Systems. 109(1). 34–41. 22 indexed citations
13.
Benoudjit, Nabil, et al.. (2011). Multiple architecture system for wind speed prediction. Applied Energy. 88(7). 2463–2471. 91 indexed citations
14.
Benoudjit, Nabil, et al.. (2010). In vitro microemboli classification using neural network models and RF signals. Ultrasonics. 51(3). 247–252. 12 indexed citations
15.
Benzid, Redha, et al.. (2010). Color image compression algorithm based on the DCT transform combined to an adaptive block scanning. AEU - International Journal of Electronics and Communications. 65(1). 16–26. 46 indexed citations
16.
Benoudjit, Nabil, et al.. (2008). Multiple regression systems for spectrophotometric data analysis. Chemometrics and Intelligent Laboratory Systems. 95(2). 144–149. 30 indexed citations
17.
Benoudjit, Nabil, et al.. (2005). AUTHENTIFICATION D’INDIVIDUS PAR RECONNAISSANCE DE VISAGES. 6(6). 61–66. 1 indexed citations
18.
Benoudjit, Nabil, D. François, Marc Meurens, & Michel Verleysen. (2004). Spectrophotometric variable selection by mutual information. Chemometrics and Intelligent Laboratory Systems. 74(2). 243–251. 35 indexed citations
19.
Benoudjit, Nabil, Cédric Archambeau, Amaury Lendasse, John A. Lee, & Michel Verleysen. (2002). Width optimization of the Gaussian kernels in Radial Basis Function Networks. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 425–432. 62 indexed citations
20.
Benoudjit, Nabil, et al.. (2002). Calibrage chimiométrique des spectrophotomètres : sélection et validation des variables par modèles non-linéaires. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 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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