Amel Bouzeghoub

1.0k total citations
31 papers, 226 citations indexed

About

Amel Bouzeghoub is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Amel Bouzeghoub has authored 31 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Science Applications. Recurrent topics in Amel Bouzeghoub's work include Open Education and E-Learning (7 papers), Semantic Web and Ontologies (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Amel Bouzeghoub is often cited by papers focused on Open Education and E-Learning (7 papers), Semantic Web and Ontologies (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Amel Bouzeghoub collaborates with scholars based in France, Tunisia and Saudi Arabia. Amel Bouzeghoub's co-authors include Claire Lecocq, Bruno Defude, Sadok Ben Yahia, Chantal Taconet, Sophie Chabridon, Mohamed M. Ahmed, Henda Hajjami Ben Ghézala, José Palazzo Moreira de Oliveira, Lucinéia Heloisa Thom and Katarzyna Węgrzyn-Wolska and has published in prestigious journals such as Expert Systems with Applications, Sensors and Information and Software Technology.

In The Last Decade

Amel Bouzeghoub

26 papers receiving 206 citations

Peers

Amel Bouzeghoub
Atilla Elçi Türkiye
Ernst A. Heinz Switzerland
Radha Shankarmani India
Oleksiy Khriyenko Finland
Abdullah Mohd Zın Malaysia
Rania Hodhod United States
Guillermo Francia United States
Younès El Bouzekri El Idrissi Morocco
Sebastiano Pizzutilo Italy
Maulahikmah Galinium Indonesia
Atilla Elçi Türkiye
Amel Bouzeghoub
Citations per year, relative to Amel Bouzeghoub Amel Bouzeghoub (= 1×) peers Atilla Elçi

Countries citing papers authored by Amel Bouzeghoub

Since Specialization
Citations

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

Fields of papers citing papers by Amel Bouzeghoub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amel Bouzeghoub

This figure shows the co-authorship network connecting the top 25 collaborators of Amel Bouzeghoub. A scholar is included among the top collaborators of Amel Bouzeghoub 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 Amel Bouzeghoub. Amel Bouzeghoub 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
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2.
Bouzeghoub, Amel, et al.. (2023). Guided Hierarchical Reinforcement Learning for Safe Urban Driving. SPIRE - Sciences Po Institutional REpository. 746–753. 1 indexed citations
3.
Bouzeghoub, Amel, et al.. (2023). Tackling cold start for Job recommendation with heterogeneous graphs. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
4.
Bouzeghoub, Amel, et al.. (2023). Efficient Constraint Learning For Stream Reasoning. SPIRE - Sciences Po Institutional REpository. 204–211.
5.
Bouzeghoub, Amel, et al.. (2023). HGExplainer: Explainable Heterogeneous Graph Neural Network. SPIRE - Sciences Po Institutional REpository. 29. 221–229. 2 indexed citations
6.
Bouzeghoub, Amel, et al.. (2021). Deep learning methods for anomalies detection in social networks using multidimensional networks and multimodal data: a survey. Multimedia Systems. 28(6). 2133–2143. 11 indexed citations
7.
Bouzeghoub, Amel, et al.. (2021). Applying Machine Learning Models for Detecting and Predicting Militant Terrorists Behaviour in Twitter. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 309–314. 1 indexed citations
8.
Ahmed, Mohamed M., et al.. (2021). IoT Data Qualification for a Logistic Chain Traceability Smart Contract. Sensors. 21(6). 2239–2239. 18 indexed citations
9.
Bouzeghoub, Amel, et al.. (2020). How to Guide Humans Towards Skills Improvement in Physical Human-Robot Collaboration Using Reinforcement Learning?. SPIRE - Sciences Po Institutional REpository. 4281–4287. 5 indexed citations
10.
Bouzeghoub, Amel, et al.. (2019). DCR: A new distributed model for human activity recognition in smart homes. Expert Systems with Applications. 140. 112849–112849. 13 indexed citations
11.
Bouzeghoub, Amel, et al.. (2018). Early anomaly detection in smart home: A causal association rule-based approach. Artificial Intelligence in Medicine. 91. 57–71. 44 indexed citations
12.
Bouzeghoub, Amel, et al.. (2018). A Framework for Service Robots in Smart Home: An Efficient Solution for Domestic Healthcare. IRBM. 39(6). 413–420. 18 indexed citations
13.
Bouzeghoub, Amel, et al.. (2017). Feature selection based on Choquet integral for human activity recognition. SPIRE - Sciences Po Institutional REpository. 7 indexed citations
14.
Bouzeghoub, Amel, et al.. (2017). Reputation Management in Online Social Networks - A New Clustering-based Approach. SPIRE - Sciences Po Institutional REpository. 468–473.
15.
Bouzeghoub, Amel, et al.. (2017). Handling conflicts in uncertain ontologies using deductive argumentation. SPIRE - Sciences Po Institutional REpository. 65–72. 1 indexed citations
16.
Mendling, Jan, et al.. (2016). An experiment on an ontology-based support approach for process modeling. Information and Software Technology. 83. 94–115. 6 indexed citations
17.
Bouzeghoub, Amel, et al.. (2014). ITERATIVE SEARCH OF COMPOSITE LEARNING OBJECTS.
18.
Bouzeghoub, Amel, et al.. (2006). A Knowledge-Based Approach to Describe and Adapt Learning Objects. International journal on e-learning. 5(1). 95–102. 10 indexed citations
19.
Bouzeghoub, Amel & Claire Lecocq. (2005). Use cases of heterogeneous learning ontologies. 49. 881–883. 1 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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