Farid Kadri

1.3k total citations
27 papers, 792 citations indexed

About

Farid Kadri is a scholar working on Statistics, Probability and Uncertainty, Emergency Medicine and Emergency Medical Services. According to data from OpenAlex, Farid Kadri has authored 27 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics, Probability and Uncertainty, 7 papers in Emergency Medicine and 7 papers in Emergency Medical Services. Recurrent topics in Farid Kadri's work include Emergency and Acute Care Studies (7 papers), Healthcare Operations and Scheduling Optimization (7 papers) and Advanced Statistical Process Monitoring (5 papers). Farid Kadri is often cited by papers focused on Emergency and Acute Care Studies (7 papers), Healthcare Operations and Scheduling Optimization (7 papers) and Advanced Statistical Process Monitoring (5 papers). Farid Kadri collaborates with scholars based in France, Saudi Arabia and Algeria. Farid Kadri's co-authors include Fouzi Harrou, Ying Sun, Sondès Chaabane, Christian Tahón, Ėric Châtelet, Abdelkader Dairi, Babiga Birregah, TorOve Leiknes, Tuoyuan Cheng and Sofiane Khadraoui and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

Farid Kadri

26 papers receiving 768 citations

Peers

Farid Kadri
Victoria C. P. Chen United States
Sauleh Siddiqui United States
Adel Alaeddini United States
Lewis Ntaimo United States
Ergin Erdem United States
Victoria C. P. Chen United States
Farid Kadri
Citations per year, relative to Farid Kadri Farid Kadri (= 1×) peers Victoria C. P. Chen

Countries citing papers authored by Farid Kadri

Since Specialization
Citations

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

Fields of papers citing papers by Farid Kadri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farid Kadri

This figure shows the co-authorship network connecting the top 25 collaborators of Farid Kadri. A scholar is included among the top collaborators of Farid Kadri 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 Farid Kadri. Farid Kadri 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.
Harrou, Fouzi, Abdelkader Dairi, Abdelhakim Dorbane, Farid Kadri, & Ying Sun. (2023). Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests. Diagnostics. 13(8). 1466–1466. 2 indexed citations
2.
Harrou, Fouzi, et al.. (2023). Efficient Sitting Posture Recognition for Wheelchair Users: An Unsupervised Data-Driven Framework. IEEE Instrumentation & Measurement Magazine. 26(4). 37–43. 10 indexed citations
3.
Harrou, Fouzi, et al.. (2022). Automatic Detection of Unbalanced Sitting Postures in Wheelchairs Using Unlabeled Sensor Data. IEEE Sensors Letters. 6(8). 1–4. 7 indexed citations
4.
Kadri, Farid, Abdelkader Dairi, Fouzi Harrou, & Ying Sun. (2022). Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework. Journal of Ambient Intelligence and Humanized Computing. 14(9). 11481–11495. 36 indexed citations
5.
Harrou, Fouzi, Farid Kadri, Ying Sun, & Sofiane Khadraoui. (2021). Monitoring patient flow in a hospital emergency department: ARMA-based nonparametric GLRT scheme. Health Informatics Journal. 27(2). 1187507025–1187507025. 8 indexed citations
6.
Harrou, Fouzi, Abdelkader Dairi, Farid Kadri, & Ying Sun. (2021). Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods. SHILAP Revista de lepidopterología. 7. 100200–100200. 16 indexed citations
7.
Cheng, Tuoyuan, Fouzi Harrou, Farid Kadri, Ying Sun, & TorOve Leiknes. (2020). Forecasting of Wastewater Treatment Plant Key Features Using Deep Learning-Based Models: A Case Study. IEEE Access. 8. 184475–184485. 90 indexed citations
8.
Harrou, Fouzi, Abdelkader Dairi, Farid Kadri, & Ying Sun. (2020). Forecasting emergency department overcrowding: A deep learning framework. Chaos Solitons & Fractals. 139. 110247–110247. 42 indexed citations
9.
Harrou, Fouzi, Abdelkader Dairi, Ying Sun, & Farid Kadri. (2018). Detecting Abnormal Ozone Measurements With a Deep Learning-Based Strategy. IEEE Sensors Journal. 18(17). 7222–7232. 50 indexed citations
10.
Kadri, Farid, Fouzi Harrou, & Ying Sun. (2017). A multivariate time series approach to forecasting daily attendances at hospital emergency department. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1–6. 8 indexed citations
11.
Kadri, Farid, Sondès Chaabane, & Christian Tahón. (2016). Reactive Control System to Manage Strain Situations in Emergency Departments. SPIRE - Sciences Po Institutional REpository. 576–583. 1 indexed citations
12.
Harrou, Fouzi, Farid Kadri, Sofiane Khadraoui, & Ying Sun. (2016). Ozone measurements monitoring using data-based approach. Process Safety and Environmental Protection. 100. 220–231. 41 indexed citations
13.
Kadri, Farid, Fouzi Harrou, Sondès Chaabane, Ying Sun, & Christian Tahón. (2015). Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems. Neurocomputing. 173. 2102–2114. 69 indexed citations
14.
Kadri, Farid, Babiga Birregah, & Ėric Châtelet. (2014). The Impact of Natural Disasters on Critical Infrastructures: A Domino Effect-based Study. Journal of Homeland Security and Emergency Management. 11(2). 217–241. 67 indexed citations
15.
Kadri, Farid, Fouzi Harrou, Sondès Chaabane, & Christian Tahón. (2014). Time Series Modelling and Forecasting of Emergency Department Overcrowding. Journal of Medical Systems. 38(9). 107–107. 96 indexed citations
16.
Kadri, Farid, Sondès Chaabane, & Christian Tahón. (2014). A simulation-based decision support system to prevent and predict strain situations in emergency department systems. Simulation Modelling Practice and Theory. 42. 32–52. 51 indexed citations
17.
Kadri, Farid & Ėric Châtelet. (2013). Domino Effect Analysis and Assessment of Industrial Sites: A Review of Methodologies and Software Tools. HAL (Le Centre pour la Communication Scientifique Directe). 13 indexed citations
18.
Kadri, Farid, et al.. (2013). Shoulder Heterotopic ossification (HO) outside the neurological context. Think about it when your patient presents a stiff and painful shoulder!. Annals of Physical and Rehabilitation Medicine. 56. e405–e405. 1 indexed citations
19.
Kadri, Farid, et al.. (2013). Ossifications hétérotopiques(OH) de l’épaule en rééducation en dehors d’un contexte neurologique. Pensez-y devant une épaule douloureuse et raide !. Annals of Physical and Rehabilitation Medicine. 56. e402–e402. 1 indexed citations
20.
Kadri, Farid, et al.. (2012). Method for quantitative assessment of the domino effect in industrial sites. Process Safety and Environmental Protection. 91(6). 452–462. 57 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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