Nédra Mellouli

639 total citations · 1 hit paper
28 papers, 333 citations indexed

About

Nédra Mellouli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nédra Mellouli has authored 28 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Nédra Mellouli's work include Time Series Analysis and Forecasting (5 papers), Hydrology and Drought Analysis (4 papers) and Flood Risk Assessment and Management (4 papers). Nédra Mellouli is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Hydrology and Drought Analysis (4 papers) and Flood Risk Assessment and Management (4 papers). Nédra Mellouli collaborates with scholars based in France, Tunisia and China. Nédra Mellouli's co-authors include Myriam Lamolle, Imed Riadh Farah, Yan‐Fang Sang, Ali Ben Abbes, Sadok Ben Yahia, Aniruddha Gokhale, Akram Hakiri, Sidahmed Benabderrahmane, Hajer Baazaoui Zghal and Hong‐Minh Hoang and has published in prestigious journals such as Expert Systems with Applications, Fuzzy Sets and Systems and Journal of the Association for Information Systems.

In The Last Decade

Nédra Mellouli

25 papers receiving 314 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comprehensive survey on digital twin for future networks and emerging Internet of Things industry

2024 54 citations Akram Hakiri, Aniruddha Gokhale et al. Computer Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nédra Mellouli France	9	80	61	57	39	32	28	333
Prateek Chaturvedi India	16	28 0.3×	102 1.7×	64 1.1×	24 0.6×	47 1.5×	40	495
Amílcar Soares Canada	14	39 0.5×	80 1.3×	39 0.7×	41 1.1×	9 0.3×	43	450
Hoe-Kyung Jung South Korea	9	41 0.5×	63 1.0×	77 1.4×	6 0.2×	24 0.8×	80	322
Shuang Han China	9	33 0.4×	83 1.4×	59 1.0×	7 0.2×	39 1.2×	32	340
Maman Abdurohman Indonesia	11	69 0.9×	52 0.9×	82 1.4×	8 0.2×	26 0.8×	53	361
Daekyo Jung South Korea	7	75 0.9×	21 0.3×	62 1.1×	6 0.2×	23 0.7×	11	282
Leszek Kotulski Poland	10	149 1.9×	44 0.7×	15 0.3×	11 0.3×	16 0.5×	49	294
Anam Nawaz Khan South Korea	12	24 0.3×	102 1.7×	48 0.8×	29 0.7×	16 0.5×	41	421

Countries citing papers authored by Nédra Mellouli

Since Specialization

Citations

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

Fields of papers citing papers by Nédra Mellouli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nédra Mellouli

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

All Works

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20 of 20 papers shown

Mellouli, Nédra, et al.. (2025). REDIRE: Extreme REduction DImension for extRactivE Summarization. Data & Knowledge Engineering. 157. 102407–102407.

Hakiri, Akram, et al.. (2025). Optimal LoRaWAN Gateway Placement for Efficient Large-Scale IoT Deployments. SPIRE - Sciences Po Institutional REpository. 1210–1215.

Hakiri, Akram, Sadok Ben Yahia, Aniruddha Gokhale, & Nédra Mellouli. (2024). Special Issue on Digital Twin for Future Networks and Emerging IoT Applications (DT4IoT). Future Generation Computer Systems. 161. 81–84. 1 indexed citations

Hakiri, Akram, Aniruddha Gokhale, Sadok Ben Yahia, & Nédra Mellouli. (2024). A comprehensive survey on digital twin for future networks and emerging Internet of Things industry. Computer Networks. 244. 110350–110350. 54 indexed citations breakdown →

Abbes, Ali Ben, et al.. (2023). Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. Computers & Geosciences. 179. 105435–105435. 6 indexed citations

Mellouli, Nédra, et al.. (2023). Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm. Engineering Applications of Artificial Intelligence. 123. 106301–106301. 26 indexed citations

Mellouli, Nédra, et al.. (2023). A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data. Expert Systems with Applications. 238. 122148–122148. 2 indexed citations

Abbes, Ali Ben, et al.. (2022). Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. Future Generation Computer Systems. 136. 1–14. 7 indexed citations

Mellouli, Nédra, et al.. (2022). Improved Arabic Alphabet Characters Classification Using Convolutional Neural Networks (CNN). Computational Intelligence and Neuroscience. 2022. 1–16. 20 indexed citations

10.

Mellouli, Nédra, et al.. (2022). Transformers-based time series forecasting for piezometric level prediction. 1–6. 3 indexed citations

11.

Mellouli, Nédra, et al.. (2021). Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. Journal of the Association for Information Systems. 2 indexed citations

12.

Abbes, Ali Ben, et al.. (2021). Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China. SPIRE - Sciences Po Institutional REpository. 1–8. 14 indexed citations

13.

Mellouli, Nédra, et al.. (2021). Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks. Big Data and Cognitive Computing. 5(2). 21–21. 8 indexed citations

14.

Benabderrahmane, Sidahmed, Nédra Mellouli, & Myriam Lamolle. (2018). On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks. Knowledge-Based Systems. 151. 95–113. 26 indexed citations

15.

Benabderrahmane, Sidahmed, et al.. (2017). When Deep Neural Networks Meet Job Offers Recommendation. 27. 223–230. 1 indexed citations

16.

Benabderrahmane, Sidahmed, Nédra Mellouli, Myriam Lamolle, & Patrick Paroubek. (2016). Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification. Big Data Research. 7. 16–30. 14 indexed citations

17.

Zghal, Hajer Baazaoui, et al.. (2016). A Knowledge-based Image Retrieval System Integrating Semantic and Visual Features. Procedia Computer Science. 96. 1428–1436. 9 indexed citations

18.

Mellouli, Nédra, et al.. (2015). Exploring 3D-structure analysis tools for a simulated bone remodelling process. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 4(3-4). 253–263. 1 indexed citations

19.

Mellouli, Nédra & Bernadette Bouchon‐Meunier. (2003). Abductive reasoning and measures of similitude in the presence of fuzzy rules. Fuzzy Sets and Systems. 137(1). 177–188. 7 indexed citations

20.

Truck, Isis, et al.. (2001). LINGUISTIC MODIFIERS IN A SYMBOLIC FRAMEWORK. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 9(supp01). 49–61. 8 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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