Farah Mourad-Chehade

603 total citations
32 papers, 307 citations indexed

About

Farah Mourad-Chehade is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Farah Mourad-Chehade has authored 32 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Farah Mourad-Chehade's work include Indoor and Outdoor Localization Technologies (13 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Farah Mourad-Chehade is often cited by papers focused on Indoor and Outdoor Localization Technologies (13 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Farah Mourad-Chehade collaborates with scholars based in France, Lebanon and United Kingdom. Farah Mourad-Chehade's co-authors include Paul Honeiné, Hichem Snoussi, Sandy Mahfouz, Joumana Farah, David Laplanche, Hassan Amoud, Joumana Farah, Aly Chkeir, Stéphane Sanchez and Farouk Yalaoui and has published in prestigious journals such as Sensors, IEEE Transactions on Aerospace and Electronic Systems and IEEE Sensors Journal.

In The Last Decade

Farah Mourad-Chehade

26 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farah Mourad-Chehade France 10 142 100 77 41 40 32 307
Syed Ismail Shah Pakistan 10 98 0.7× 77 0.8× 52 0.7× 13 0.3× 44 1.1× 35 325
Vladimir Shin South Korea 11 76 0.5× 125 1.3× 256 3.3× 100 2.4× 38 0.9× 79 495
Yuqing Yin China 8 301 2.1× 82 0.8× 33 0.4× 86 2.1× 61 1.5× 27 389
Massimiliano Donati Italy 10 80 0.6× 99 1.0× 36 0.5× 67 1.6× 122 3.0× 41 452
Philip Lundrigan United States 8 247 1.7× 82 0.8× 34 0.4× 16 0.4× 21 0.5× 31 439
Muhammad Amir Pakistan 10 46 0.3× 49 0.5× 51 0.7× 28 0.7× 38 0.9× 32 332
Akash Deep Singh United States 7 130 0.9× 20 0.2× 47 0.6× 97 2.4× 120 3.0× 19 344
Tansu Filik Türkiye 10 272 1.9× 27 0.3× 98 1.3× 136 3.3× 43 1.1× 42 409
Peiliang Zuo China 11 163 1.1× 169 1.7× 57 0.7× 116 2.8× 9 0.2× 42 322

Countries citing papers authored by Farah Mourad-Chehade

Since Specialization
Citations

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

Fields of papers citing papers by Farah Mourad-Chehade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farah Mourad-Chehade

This figure shows the co-authorship network connecting the top 25 collaborators of Farah Mourad-Chehade. A scholar is included among the top collaborators of Farah Mourad-Chehade 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 Farah Mourad-Chehade. Farah Mourad-Chehade 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.
Mourad-Chehade, Farah, et al.. (2024). Enhanced Cough Analysis Using 1-Dimensional CNN Features for Respiratory Health Diagnosis. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
2.
Mourad-Chehade, Farah, et al.. (2024). CSI-Based Human Activity Recognition via Lightweight CNN Model and Data Augmentation. IEEE Sensors Journal. 24(15). 25060–25069. 4 indexed citations
3.
Mourad-Chehade, Farah, et al.. (2024). Explainable multimodal data fusion framework for heart failure detection: Integrating CNN and XGBoost. Biomedical Signal Processing and Control. 100. 106997–106997. 5 indexed citations
4.
Mourad-Chehade, Farah, et al.. (2024). An Explainable Multimodal Data Fusion Approach for Heart Failure Detection. SPIRE - Sciences Po Institutional REpository. 1–6.
5.
6.
Mourad-Chehade, Farah, et al.. (2023). Leveraging Wi-Fi CSI Data for Fall Detection: A Deep Learning Approach. SPIRE - Sciences Po Institutional REpository. 1–4. 5 indexed citations
7.
Mourad-Chehade, Farah, et al.. (2023). Automation of the Timed Up and Go Test Using a Doppler Radar System for Gait and Balance Analysis in Elderly People. Journal of Healthcare Engineering. 2023(1). 2016262–2016262. 8 indexed citations
8.
Mourad-Chehade, Farah, et al.. (2023). Eye Recognition by YOLO for Inner Canthus Temperature Detection in the Elderly Using a Transfer Learning Approach. Sensors. 23(4). 1851–1851. 5 indexed citations
9.
Mourad-Chehade, Farah, et al.. (2023). Automatic Heart Failure Stratification Using a Convolutional Neural Network. SPIRE - Sciences Po Institutional REpository. 1–5.
10.
Mourad-Chehade, Farah, et al.. (2022). Forecasting saturation in the Emergency Department: a comparison of queuing data-driven approaches. IFAC-PapersOnLine. 55(10). 1556–1561.
11.
Mourad-Chehade, Farah, et al.. (2021). Effect of the COVID-19 pandemic lockdown on non-COVID-19 emergency department visits in Eastern France: Reduced risk or avoidance behavior?. Public Health in Practice. 2. 100109–100109. 14 indexed citations
12.
Mourad-Chehade, Farah, et al.. (2020). Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking. IEEE Transactions on Aerospace and Electronic Systems. 56(6). 4315–4326.
13.
Mourad-Chehade, Farah, et al.. (2020). An Evidential Framework for Localization of Sensors in Indoor Environments. Sensors. 20(1). 318–318. 4 indexed citations
14.
Chkeir, Aly, et al.. (2019). Doppler Radar System for In-Home Gait Characterization using Wavelet Transform Analysis. PubMed. 2019. 6081–6084. 4 indexed citations
15.
Mourad-Chehade, Farah, et al.. (2019). Decentralized Kernel-Based Localization in Wireless Sensor Networks Using Belief Functions. IEEE Sensors Journal. 19(11). 4149–4159. 10 indexed citations
16.
Mourad-Chehade, Farah, et al.. (2019). Evidence-based model for real-time surveillance of ARDS. Biomedical Signal Processing and Control. 50. 83–91. 6 indexed citations
17.
Mourad-Chehade, Farah, et al.. (2018). Early-warning of ARDS using novelty detection and data fusion. Computers in Biology and Medicine. 102. 191–199. 9 indexed citations
18.
Mourad-Chehade, Farah, et al.. (2017). Tracking of Mobile Sensors Using Belief Functions in Indoor Wireless Networks. IEEE Sensors Journal. 18(1). 310–319. 19 indexed citations
19.
Chkeir, Aly, Farah Mourad-Chehade, J Le Beau, et al.. (2017). A novel algorithm for detecting human circadian rhythms using a thoracic temperature sensor. Advances in Science Technology and Engineering Systems Journal. 2(4). 105–110. 1 indexed citations
20.
Mahfouz, Sandy, Farah Mourad-Chehade, Paul Honeiné, Joumana Farah, & Hichem Snoussi. (2015). Kernel-based machine learning using radio-fingerprints for localization in wsns. IEEE Transactions on Aerospace and Electronic Systems. 51(2). 1324–1336. 27 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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