Nadir Farah

801 total citations
52 papers, 486 citations indexed

About

Nadir Farah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nadir Farah has authored 52 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Nadir Farah's work include Handwritten Text Recognition Techniques (14 papers), Neural Networks and Applications (9 papers) and Energy Load and Power Forecasting (8 papers). Nadir Farah is often cited by papers focused on Handwritten Text Recognition Techniques (14 papers), Neural Networks and Applications (9 papers) and Energy Load and Power Forecasting (8 papers). Nadir Farah collaborates with scholars based in Algeria, Saudi Arabia and France. Nadir Farah's co-authors include Mokhtar Sellami, Samir Ben Ahmed, Nabiha Azizi, Walid Hariri, Mouldi Bedda, Labiba Souici‐Meslati, Hedi Tabia, David Declercq, Sioe T. Mak and Mohamed Tarek Khadir and has published in prestigious journals such as Energy and Buildings, Pattern Recognition Letters and Neural Computing and Applications.

In The Last Decade

Nadir Farah

48 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nadir Farah Algeria	12	243	206	157	60	49	52	486
Emad-ul-Haq Qazi Saudi Arabia	11	49 0.2×	256 1.2×	163 1.0×	114 1.9×	13 0.3×	28	631
Zhao Guo China	6	397 1.6×	177 0.9×	32 0.2×	34 0.6×	14 0.3×	14	610
Khalid Bashir Bajwa Pakistan	9	256 1.1×	54 0.3×	115 0.7×	33 0.6×	6 0.1×	15	444
Chi Jiang China	7	83 0.3×	109 0.5×	57 0.4×	32 0.5×	14 0.3×	19	300
Xian Wei China	7	176 0.7×	135 0.7×	30 0.2×	17 0.3×	15 0.3×	18	360
Shiqi Jiang China	10	130 0.5×	83 0.4×	72 0.5×	32 0.5×	9 0.2×	23	322
Francisco Pérez-Hernández Spain	6	194 0.8×	178 0.9×	105 0.7×	21 0.3×	19 0.4×	6	377
Ting Cao China	11	186 0.8×	92 0.4×	152 1.0×	20 0.3×	11 0.2×	41	547
S. Praveena India	7	77 0.3×	117 0.6×	110 0.7×	22 0.4×	13 0.3×	41	352
Amin Shoukry Egypt	12	217 0.9×	154 0.7×	33 0.2×	29 0.5×	23 0.5×	42	425

Countries citing papers authored by Nadir Farah

Since Specialization

Citations

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

Fields of papers citing papers by Nadir Farah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadir Farah

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

Farah, Nadir, et al.. (2024). Exploiting the Capabilities of Classifiers to Examine a Website Defacement Data Set. 3(3). 9–41. 1 indexed citations

Farah, Nadir, et al.. (2020). Using deep learning for short-term load forecasting. Neural Computing and Applications. 32(18). 15029–15041. 35 indexed citations

Azizi, Nabiha, et al.. (2018). Multi-classifier system for authorship verification task using word embeddings. 1–6. 11 indexed citations

Farah, Nadir, et al.. (2016). Mid-Long Term Load Forecasting using Multi-Model Artificial Neural Networks. International Journal on Electrical Engineering and Informatics. 8(2). 389–401. 14 indexed citations

Farah, Nadir, et al.. (2015). A performance evaluation of NSHP-HMM based on conditional ZONE observation probabilities application to offline handwriting word recognition. 1091–1095. 1 indexed citations

Azizi, Nabiha, Nadir Farah, & Mohamed Tarek Khadir. (2015). Multi-stage dynamic ensemble selection using heterogeneous learning algorithms: application on classification problems. International Journal of Knowledge Management Studies. 6(1). 16–16. 3 indexed citations

Bedda, Mouldi, et al.. (2013). Probabilistic classification based on Gaussian copula for speech recognition: Application to Spoken Arabic digits. 312–317. 6 indexed citations

Farah, Nadir, et al.. (2013). Toward characterizing a more significant identity of core structure within dynamic social network. 81. 1458–1459. 1 indexed citations

Farah, Nadir, et al.. (2013). Mid-long term Algerian electric load forecasting using regression approach. 14. 121–126. 10 indexed citations

10.

Farah, Nadir, Labiba Souici‐Meslati, & Mokhtar Sellami. (2012). Decision Fusion and Contextual Information for Arabic Words Recognition for Computing and Informatics. Computing and Informatics / Computers and Artificial Intelligence. 24(5). 463–479. 1 indexed citations

11.

Mak, Sioe T. & Nadir Farah. (2012). Synchronizing SCADA and Smart Meters operation for advanced smart distribution grid applications. 11. 1–7. 17 indexed citations

12.

Azizi, Nabiha & Nadir Farah. (2012). From static to dynamic ensemble of classifiers selection: Application to Arabic handwritten recognition. International Journal of Knowledge-based and Intelligent Engineering Systems. 16(4). 279–288. 11 indexed citations

13.

Bedda, Mouldi, et al.. (2012). Spoken Arabic Digits recognition using MFCC based on GMM. 2. 160–163. 6 indexed citations

14.

Bedda, Mouldi, et al.. (2011). HMM parameters estimation based on cross-validation for Spoken Arabic Digits recognition. 1–4. 5 indexed citations

15.

Azizi, Nabiha, Nadir Farah, & Mokhtar Sellami. (2010). OFF-LINE HANDWRITTEN WORD RECOGNITION USING ENSEMBLE OF CLASSIFIER SELECTION AND FEATURES FUSION. 7 indexed citations

16.

Farah, Nadir, et al.. (2009). Short-term forecasting of Algerian load using fuzzy logic and expert system. 3. 81–86. 3 indexed citations

17.

Farah, Nadir, et al.. (2005). Artificial neural network fusion: Application to Arabic words recognition.. The European Symposium on Artificial Neural Networks. 151–156. 24 indexed citations

18.

Farah, Nadir, Labiba Souici‐Meslati, & Mokhtar Sellami. (2005). Arabic Word Recognition by Classifiers and Context. Journal of Computer Science and Technology. 20(3). 402–410. 8 indexed citations

19.

Farah, Nadir, Labiba Souici‐Meslati, & Mokhtar Sellami. (2005). Classifiers combination and syntax analysis for Arabic literal amount recognition. Engineering Applications of Artificial Intelligence. 19(1). 29–39. 41 indexed citations

20.

Farah, Nadir, et al.. (2005). Benefit of multiclassifier systems for Arabic handwritten words recognition. 222–226 Vol. 1. 3 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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