Nadia Bouassida

516 total citations
51 papers, 273 citations indexed

About

Nadia Bouassida is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Nadia Bouassida has authored 51 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Information Systems, 27 papers in Artificial Intelligence and 19 papers in Software. Recurrent topics in Nadia Bouassida's work include Software Engineering Research (31 papers), Advanced Software Engineering Methodologies (21 papers) and Model-Driven Software Engineering Techniques (10 papers). Nadia Bouassida is often cited by papers focused on Software Engineering Research (31 papers), Advanced Software Engineering Methodologies (21 papers) and Model-Driven Software Engineering Techniques (10 papers). Nadia Bouassida collaborates with scholars based in Tunisia, Saudi Arabia and France. Nadia Bouassida's co-authors include Hanêne Ben‐Abdallah, Asma Sellami, Abdelmajid Ben Hamadou, Faı̈ez Gargouri, Abdelhak-Djamel Seriai, Samir Ben Ahmed, Salma Jamoussi, Mohamed Frikha and Rafik Bouaziz and has published in prestigious journals such as Computers in Human Behavior, The Computer Journal and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Nadia Bouassida

47 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Bouassida Tunisia 10 247 123 117 41 39 51 273
Joshua Kerievsky Bermuda 4 213 0.9× 115 0.9× 113 1.0× 51 1.2× 15 0.4× 6 243
Zoltán Porkoláb Hungary 7 137 0.6× 104 0.8× 89 0.8× 46 1.1× 21 0.5× 62 203
Birgit Demuth Germany 7 133 0.5× 137 1.1× 107 0.9× 57 1.4× 19 0.5× 31 208
Rafael S. Durelli Brazil 8 169 0.7× 129 1.0× 70 0.6× 51 1.2× 23 0.6× 32 224
Daniela Steidl Germany 8 280 1.1× 189 1.5× 77 0.7× 69 1.7× 53 1.4× 12 306
Wael Kessentini Canada 6 208 0.8× 178 1.4× 81 0.7× 37 0.9× 38 1.0× 10 242
Ganesh Samarthyam Germany 7 200 0.8× 106 0.9× 50 0.4× 56 1.4× 21 0.5× 9 228
Jaime Font Spain 10 215 0.9× 104 0.8× 152 1.3× 27 0.7× 15 0.4× 34 251
Yania Crespo Spain 7 247 1.0× 152 1.2× 109 0.9× 53 1.3× 51 1.3× 29 275
Mihai Codoban United States 5 270 1.1× 117 1.0× 68 0.6× 94 2.3× 50 1.3× 8 295

Countries citing papers authored by Nadia Bouassida

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Bouassida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Bouassida

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Bouassida. A scholar is included among the top collaborators of Nadia Bouassida 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 Nadia Bouassida. Nadia Bouassida 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.
Bouassida, Nadia, et al.. (2024). Application of Deep Learning for Code Smell Detection: Challenges and Opportunities. SN Computer Science. 5(5). 2 indexed citations
2.
Bouassida, Nadia, et al.. (2024). Multi-label learning for identifying co-occurring class code smells. Computing. 106(8). 2585–2612. 1 indexed citations
4.
Ben‐Abdallah, Hanêne, et al.. (2022). Clustering techniques for software product line feature identification. 1–10.
5.
Frikha, Mohamed, et al.. (2020). Towards a recommendation system for children's animated movies based on chromatic features. 1–6. 3 indexed citations
6.
Bouassida, Nadia, et al.. (2019). Deep Representation Learning for Code Smells Detection using Variational Auto-Encoder. 1–8. 22 indexed citations
7.
Bouassida, Nadia, et al.. (2018). A Hybrid Approach To Detect Code Smells using Deep Learning. 137–146. 34 indexed citations
8.
Bouassida, Nadia, et al.. (2018). Towards naturalistic programming: Mapping language-independent requirements to constrained language specifications. Science of Computer Programming. 166. 89–119. 4 indexed citations
9.
Bouassida, Nadia, et al.. (2016). Predicting the Existence of Design Patterns based on Semantics and Metrics. The International Arab Journal of Information Technology. 13. 310–319. 3 indexed citations
10.
Bouassida, Nadia, et al.. (2016). UML models change impact analysis using a text similarity technique. IET Software. 11(1). 27–37. 15 indexed citations
11.
Bouassida, Nadia, et al.. (2016). A new method for constructing and reusing domain specific design patterns: Application to RT domain. Journal of King Saud University - Computer and Information Sciences. 29(3). 325–348. 1 indexed citations
12.
Bouassida, Nadia, et al.. (2016). Change impact analysis for software product lines. Journal of King Saud University - Computer and Information Sciences. 28(4). 364–380. 5 indexed citations
13.
Bouassida, Nadia, et al.. (2015). CQV-UML Tool: a tool for managing the impact of change on UML models. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2015. 670–673. 2 indexed citations
14.
Bouassida, Nadia, et al.. (2015). Domain-specific design pattern instanciation. 5. 1–6. 1 indexed citations
15.
Bouassida, Nadia, et al.. (2015). Change Effort Estimation based on UML Diagrams Application in UCP and COCOMOII. 301–308. 3 indexed citations
16.
Bouassida, Nadia, et al.. (2014). Feature model recovery from product variants based on a cloning technique.. Software Engineering and Knowledge Engineering. 431–436. 3 indexed citations
17.
Bouassida, Nadia, et al.. (2014). A New Approach for Interactive Design Pattern Recommendation. 3(3). 173–178. 13 indexed citations
18.
Bouassida, Nadia, Hanêne Ben‐Abdallah, & Abdelmajid Ben Hamadou. (2004). F-UML Tool for the formal design of frameworks.. 511–528.
19.
Bouassida, Nadia, et al.. (2003). Design of a framework for electronic commerce brokers. 1. 317–326. 1 indexed citations
20.
Bouassida, Nadia, Hanêne Ben‐Abdallah, Faı̈ez Gargouri, & Abdelmajid Ben Hamadou. (2003). Stepwise framework design by application unification. vol.6. 6–6. 2 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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