Wafa Njima

434 total citations
12 papers, 207 citations indexed

About

Wafa Njima is a scholar working on Electrical and Electronic Engineering, Ocean Engineering and Signal Processing. According to data from OpenAlex, Wafa Njima has authored 12 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 5 papers in Ocean Engineering and 5 papers in Signal Processing. Recurrent topics in Wafa Njima's work include Indoor and Outdoor Localization Technologies (11 papers), Underwater Vehicles and Communication Systems (5 papers) and Speech and Audio Processing (4 papers). Wafa Njima is often cited by papers focused on Indoor and Outdoor Localization Technologies (11 papers), Underwater Vehicles and Communication Systems (5 papers) and Speech and Audio Processing (4 papers). Wafa Njima collaborates with scholars based in France, United Arab Emirates and Tunisia. Wafa Njima's co-authors include Marwa Chafii, Ahmad Bazzi, Michel Terré, Raed M. Shubair, Arsenia Chorti, Rafik Zayani, Ridha Bouallègue, H. Vincent Poor, El Mehdi Amhoud and Gerhard Fettweis and has published in prestigious journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Wafa Njima

11 papers receiving 202 citations

Peers

Wafa Njima

EEE

SP

OE

AE

AI

Saideep Tiku United States

Mohamed I. AlHajri United Arab Emirates

Roshan Ayyalasomayajula United States

Joon Goo Park South Korea

Wangdong Qi China

Minghao Si China

Sung-Chan Song South Korea

Markus Fröhle Sweden

Marco Cominelli Italy

Alan Bensky

Saideep Tiku United States

Wafa Njima

173 ×1.1

EEE

79 ×1.2

SP

84 ×1.3

OE

33 ×0.9

AE

24 ×0.7

AI

Citations per year, relative to Wafa Njima Wafa Njima (= 1×) peers Saideep Tiku

Countries citing papers authored by Wafa Njima

Since Specialization

Citations

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

Fields of papers citing papers by Wafa Njima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wafa Njima

This figure shows the co-authorship network connecting the top 25 collaborators of Wafa Njima. A scholar is included among the top collaborators of Wafa Njima 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 Wafa Njima. Wafa Njima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Njima, Wafa, et al.. (2025). High-Accuracy and Real-Time Fingerprint-Based Continual Learning Localization System in Dynamic Environment. Sensors. 25(5). 1289–1289.

2.

Njima, Wafa, et al.. (2024). Radar Interference Mitigation Using CNN Autoencoders with Spatial Attention. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations

3.

Njima, Wafa, et al.. (2024). FeMLoc: Federated Meta-Learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks. IEEE Internet of Things Journal. 11(22). 36991–37007. 6 indexed citations

4.

Njima, Wafa, et al.. (2024). Generative Adversarial Networks based Data Recovery for Indoor Localization. SPIRE - Sciences Po Institutional REpository. 1–6. 3 indexed citations

5.

Njima, Wafa, et al.. (2023). Federated Learning based Hierarchical 3D Indoor Localization. SPIRE - Sciences Po Institutional REpository. 1–6. 12 indexed citations

6.

Njima, Wafa, et al.. (2022). High Resolution Visible-Light Localization in Industrial Dynamic Environment: A Robustness Approach based on the PSO Algorithm. SPIRE - Sciences Po Institutional REpository. 1–8. 2 indexed citations

7.

Njima, Wafa, Ahmad Bazzi, & Marwa Chafii. (2022). DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning. IEEE Access. 10. 69896–69909. 54 indexed citations

8.

Njima, Wafa, Marwa Chafii, Arsenia Chorti, Raed M. Shubair, & H. Vincent Poor. (2021). Indoor Localization Using Data Augmentation via Selective Generative Adversarial Networks. IEEE Access. 9. 98337–98347. 53 indexed citations

9.

Njima, Wafa, Marwa Chafii, Ahmad Nimr, & Gerhard Fettweis. (2020). Deep Learning Based Data Recovery for Localization. IEEE Access. 8. 175741–175752. 18 indexed citations

10.

Terré, Michel, et al.. (2020). Autoencoder Matrix Completion Based Indoor Localization. HAL (Le Centre pour la Communication Scientifique Directe). 11. 1323–1326. 1 indexed citations

11.

Njima, Wafa, et al.. (2019). Deep CNN for Indoor Localization in IoT-Sensor Systems. Sensors. 19(14). 3127–3127. 47 indexed citations

12.

Njima, Wafa, et al.. (2019). Beyond Stochastic Gradient Descent for Matrix Completion Based Indoor Localization. Applied Sciences. 9(12). 2414–2414. 10 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.

Explore authors with similar magnitude of impact