Walid Bechkit

725 total citations
22 papers, 408 citations indexed

About

Walid Bechkit is a scholar working on Computer Networks and Communications, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Walid Bechkit has authored 22 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 7 papers in Environmental Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Walid Bechkit's work include Energy Efficient Wireless Sensor Networks (10 papers), Air Quality Monitoring and Forecasting (7 papers) and Mobile Ad Hoc Networks (5 papers). Walid Bechkit is often cited by papers focused on Energy Efficient Wireless Sensor Networks (10 papers), Air Quality Monitoring and Forecasting (7 papers) and Mobile Ad Hoc Networks (5 papers). Walid Bechkit collaborates with scholars based in France, Algeria and United States. Walid Bechkit's co-authors include Hervé Rivano, Yacine Challal, Abdelmadjid Bouabdallah, Vahid Tarokh, Abdelmalik Bachir, Karima Benatchba, Mouloud Koudil, Florent Renard, Abdelmadjid Bouabdallah and Pierre-Édouard Portier and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Walid Bechkit

18 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walid Bechkit France 8 261 126 109 49 43 22 408
Yajie Ma China 8 192 0.7× 129 1.0× 88 0.8× 47 1.0× 29 0.7× 36 428
Avinash Mungur Mauritius 6 190 0.7× 106 0.8× 104 1.0× 25 0.5× 16 0.4× 16 301
Sujoy Saha India 11 133 0.5× 98 0.8× 77 0.7× 38 0.8× 24 0.6× 59 390
Ricardo Simón Carbajo Ireland 10 154 0.6× 110 0.9× 62 0.6× 53 1.1× 21 0.5× 24 319
Zhiwen Hu China 10 209 0.8× 146 1.2× 118 1.1× 53 1.1× 29 0.7× 17 429
Abhimanyu Gosain United States 10 285 1.1× 213 1.7× 33 0.3× 14 0.3× 21 0.5× 15 453
Hyunhee Park South Korea 9 73 0.3× 115 0.9× 22 0.2× 21 0.4× 49 1.1× 47 313
Simone Brienza Italy 10 288 1.1× 145 1.2× 65 0.6× 34 0.7× 13 0.3× 13 416
Jalpa Shah India 7 106 0.4× 120 1.0× 63 0.6× 20 0.4× 19 0.4× 17 287
Óscar Alvear Spain 7 64 0.2× 45 0.4× 85 0.8× 40 0.8× 23 0.5× 11 259

Countries citing papers authored by Walid Bechkit

Since Specialization
Citations

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

Fields of papers citing papers by Walid Bechkit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walid Bechkit

This figure shows the co-authorship network connecting the top 25 collaborators of Walid Bechkit. A scholar is included among the top collaborators of Walid Bechkit 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 Walid Bechkit. Walid Bechkit 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.
Bechkit, Walid, et al.. (2024). On-Device Deep Learning: Survey on Techniques Improving Energy Efficiency of DNNs. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 7806–7821. 2 indexed citations
2.
3.
Bechkit, Walid, et al.. (2024). UrMapSens: Joint Mapping-Sensing Design of Wireless Sensor Networks for Urban Environmental Monitoring. IEEE Sensors Journal. 24(22). 37894–37905.
4.
Bechkit, Walid, et al.. (2024). Route Selection in Low-Cost Participatory Mobile Sensing of Air Quality. 302–310. 1 indexed citations
5.
Bechkit, Walid, et al.. (2023). Heterogeneous IoT/LTE ProSe virtual infrastructure for disaster situations. Journal of Network and Computer Applications. 213. 103602–103602. 3 indexed citations
6.
Bechkit, Walid, et al.. (2023). Cooperative Deep Reinforcement Learning for Dynamic Pollution Plume Monitoring Using a Drone Fleet. IEEE Internet of Things Journal. 11(5). 7325–7338. 1 indexed citations
7.
Bechkit, Walid, et al.. (2023). Grow, prune or select data: which technique allows the most energy-efficient neural network training?. SPIRE - Sciences Po Institutional REpository. 303–308. 1 indexed citations
8.
Bechkit, Walid, et al.. (2023). On data selection for the energy efficiency of neural networks: Towards a new solution based on a dynamic selectivity ratio. SPIRE - Sciences Po Institutional REpository. 325–332. 1 indexed citations
9.
Bechkit, Walid, et al.. (2022). Leveraging Predictability for Global Optimization of IoT Networks. ICC 2022 - IEEE International Conference on Communications. 3586–3591.
10.
Bechkit, Walid, et al.. (2021). Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction. IEEE Access. 9. 14765–14778. 31 indexed citations
11.
Bechkit, Walid, et al.. (2021). A generic framework for monitoring pollution plumes in emergencies using UAVs. HAL (Le Centre pour la Communication Scientifique Directe). 1–9. 2 indexed citations
12.
Bechkit, Walid, et al.. (2020). Participatory Air Quality and Urban Heat Islands Monitoring System. IEEE Transactions on Instrumentation and Measurement. 70. 1–14. 33 indexed citations
13.
Bachir, Abdelmalik, et al.. (2020). Evaluating Regression Models for Temporal Prediction of Wi-Fi Device Mobility. Wireless Personal Communications. 116(3). 2169–2186.
14.
Bechkit, Walid, et al.. (2020). Service Oriented D2D Efficient Communication for Post-Disaster Management. HAL (Le Centre pour la Communication Scientifique Directe). 970–975. 3 indexed citations
15.
Bechkit, Walid, et al.. (2019). On the Deployment of Wireless Sensor Networks for Air Quality Mapping: Optimization Models and Algorithms. IEEE/ACM Transactions on Networking. 27(4). 1629–1642. 30 indexed citations
16.
Bechkit, Walid, et al.. (2017). Optimal WSN Deployment Models for Air Pollution Monitoring. IEEE Transactions on Wireless Communications. 16(5). 2723–2735. 122 indexed citations
17.
Bachir, Abdelmalik, Walid Bechkit, Yacine Challal, & Abdelmadjid Bouabdallah. (2014). Joint Connectivity-Coverage Temperature-Aware Algorithms for Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems. 26(7). 1923–1936. 15 indexed citations
18.
Bachir, Abdelmalik, Walid Bechkit, Yacine Challal, & Abdelmadjid Bouabdallah. (2013). Temperature-Aware Density Optimization for Low Power Wireless Sensor Networks. IEEE Communications Letters. 17(2). 325–328. 3 indexed citations
19.
Bechkit, Walid, Yacine Challal, Abdelmadjid Bouabdallah, & Vahid Tarokh. (2013). A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor Networks. IEEE Transactions on Wireless Communications. 12(2). 948–959. 82 indexed citations
20.
Bechkit, Walid, Yacine Challal, & Abdelmadjid Bouabdallah. (2012). A new class of Hash-Chain based key pre-distribution schemes for WSN. Computer Communications. 36(3). 243–255. 45 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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