Rahma Gantassi

624 total citations
28 papers, 299 citations indexed

About

Rahma Gantassi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Rahma Gantassi has authored 28 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 16 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Rahma Gantassi's work include Energy Efficient Wireless Sensor Networks (13 papers), Energy Load and Power Forecasting (6 papers) and IoT-based Smart Home Systems (5 papers). Rahma Gantassi is often cited by papers focused on Energy Efficient Wireless Sensor Networks (13 papers), Energy Load and Power Forecasting (6 papers) and IoT-based Smart Home Systems (5 papers). Rahma Gantassi collaborates with scholars based in South Korea, Tunisia and Saudi Arabia. Rahma Gantassi's co-authors include Yonghoon Choi, Rashid Amin, Jaroslav Frnda, Aida Mustapha, Asma Hassan Alshehri, Omar Cheikhrouhou, Jalel Ben‐Othman, Hareem Kibriya, Jinsul Kim and Marriam Nawaz and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Rahma Gantassi

25 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahma Gantassi South Korea 11 137 113 63 48 22 28 299
Ghassan Husnain Pakistan 10 163 1.2× 117 1.0× 41 0.7× 46 1.0× 19 0.9× 36 290
Ranjith Balakrishnan India 7 168 1.2× 98 0.9× 60 1.0× 28 0.6× 18 0.8× 21 295
Raju Anitha India 9 75 0.5× 43 0.4× 40 0.6× 64 1.3× 23 1.0× 47 269
Nihar Ranjan Roy India 10 73 0.5× 100 0.9× 59 0.9× 71 1.5× 53 2.4× 36 307
V. Samuthira Pandi India 12 87 0.6× 64 0.6× 28 0.4× 38 0.8× 9 0.4× 60 352
Arvind Chakrapani India 11 108 0.8× 57 0.5× 35 0.6× 43 0.9× 10 0.5× 43 278
Kamal Kant Hiran India 9 38 0.3× 73 0.6× 30 0.5× 63 1.3× 16 0.7× 23 236
Aparna A. Junnarkar India 6 59 0.4× 105 0.9× 40 0.6× 37 0.8× 7 0.3× 21 212
Fahad Alqurashi Saudi Arabia 8 38 0.3× 64 0.6× 40 0.6× 42 0.9× 8 0.4× 29 230
Stephen Jeswinde Nuagah Ghana 7 47 0.3× 76 0.7× 32 0.5× 81 1.7× 16 0.7× 16 284

Countries citing papers authored by Rahma Gantassi

Since Specialization
Citations

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

Fields of papers citing papers by Rahma Gantassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahma Gantassi

This figure shows the co-authorship network connecting the top 25 collaborators of Rahma Gantassi. A scholar is included among the top collaborators of Rahma Gantassi 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 Rahma Gantassi. Rahma Gantassi 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.
Frnda, Jaroslav, et al.. (2025). Classifications and Analysis of Caching Strategies in Information‐Centric Networking for Modern Communication Systems. Engineering Reports. 7(2). 2 indexed citations
2.
3.
Gantassi, Rahma, et al.. (2025). Artificial Intelligence-Driven Digital Twin for Dynamic Pricing Model in Hybrid Optimization. IEEE Access. 13. 184286–184296. 1 indexed citations
4.
Gantassi, Rahma, et al.. (2024). Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems. Energies. 17(20). 5186–5186. 2 indexed citations
5.
Gantassi, Rahma, et al.. (2024). Multivariate bidirectional gate recurrent unit for improving accuracy of energy prediction. ICT Express. 11(1). 80–86.
6.
Saeed, Sanay Muhammad Umar, et al.. (2024). A machine learning based depression screening framework using temporal domain features of the electroencephalography signals. PLoS ONE. 19(3). e0299127–e0299127. 7 indexed citations
7.
Gantassi, Rahma, et al.. (2024). A Multi-Objective Optimization Framework for Peer-to-Peer Energy Trading in South Korea’s Tiered Pricing System. Applied Sciences. 14(23). 11071–11071. 2 indexed citations
8.
Gantassi, Rahma, et al.. (2024). Machine Learning for QoS Optimization and Energy-Efficient in Routing Clustering Wireless Sensors. Computers, materials & continua/Computers, materials & continua (Print). 82(1). 327–343. 2 indexed citations
9.
Gantassi, Rahma, et al.. (2024). A hybrid approach for adversarial attack detection based on sentiment analysis model using Machine learning. Engineering Science and Technology an International Journal. 58. 101829–101829. 3 indexed citations
10.
Hussain, Mudassar, Rashid Amin, Rahma Gantassi, et al.. (2024). Efficient handling of ACL policy change in SDN using reactive and proactive flow rule installation. Scientific Reports. 14(1). 14976–14976.
11.
Gantassi, Rahma, et al.. (2024). Enhancing Short-Term Electric Load Forecasting for Households Using Quantile LSTM and Clustering-Based Probabilistic Approach. IEEE Access. 12. 77257–77268. 15 indexed citations
12.
Kibriya, Hareem, Rashid Amin, Jinsul Kim, Marriam Nawaz, & Rahma Gantassi. (2023). A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features. Sensors. 23(10). 4693–4693. 23 indexed citations
13.
Gantassi, Rahma, et al.. (2023). Deep fake detection and classification using error-level analysis and deep learning. Scientific Reports. 13(1). 7422–7422. 57 indexed citations
14.
Mnasri, Sami, et al.. (2023). Multiple Mobile Sinks for Quality of Service Improvement in Large-Scale Wireless Sensor Networks. Sensors. 23(20). 8534–8534. 4 indexed citations
15.
Gantassi, Rahma, et al.. (2023). Recurrence Multi Linear Regression of Historical Energy Supply for Energy Demand Forecaster. 1–4. 1 indexed citations
16.
Gantassi, Rahma, et al.. (2022). Enhancing QoS and Residual Energy by Using of Grid-Size Clustering, K-Means, and TSP Algorithms With MDC in LEACH Protocol. IEEE Access. 10. 58199–58211. 12 indexed citations
17.
Gantassi, Rahma, et al.. (2022). Energy efficient grid based k‐means clustering algorithm for large scale wireless sensor networks. International Journal of Communication Systems. 35(14). 21 indexed citations
18.
Gantassi, Rahma, et al.. (2022). A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting. Energies. 15(7). 2623–2623. 39 indexed citations
19.
Jamshidi, Mohammad, F. Khani, Jakub Talla, et al.. (2021). A Hybrid Technique Based on a Genetic Algorithm for Fuzzy Multiobjective Problems in 5G, Internet of Things, and Mobile Edge Computing. Mathematical Problems in Engineering. 2021. 1–14. 32 indexed citations
20.

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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2026