Danielle Azar

563 total citations
32 papers, 384 citations indexed

About

Danielle Azar is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Danielle Azar has authored 32 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Artificial Intelligence and 9 papers in Software. Recurrent topics in Danielle Azar's work include Software Engineering Research (10 papers), Software Reliability and Analysis Research (9 papers) and Software Testing and Debugging Techniques (5 papers). Danielle Azar is often cited by papers focused on Software Engineering Research (10 papers), Software Reliability and Analysis Research (9 papers) and Software Testing and Debugging Techniques (5 papers). Danielle Azar collaborates with scholars based in Lebanon, Canada and Australia. Danielle Azar's co-authors include Thomas Loveday, Mark W. Wiggins, Haidar Harmanani, David G. Newman, Frank Y. Shih, Omar Falou, Abdulkader Helwan, Sima Tokajian, Azzam Mourad and Mohammad Khaleel Sallam Ma’aitah and has published in prestigious journals such as BMC Bioinformatics, Safety Science and Journal of Systems and Software.

In The Last Decade

Danielle Azar

31 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Azar Lebanon 13 120 106 86 53 41 32 384
Saurabh Jha United States 10 102 0.8× 146 1.4× 73 0.8× 155 2.9× 9 0.2× 29 464
Nouh Sabri Elmitwally United Kingdom 12 95 0.8× 162 1.5× 19 0.2× 71 1.3× 6 0.1× 32 430
Amal Al‐Rasheed Saudi Arabia 14 94 0.8× 194 1.8× 13 0.2× 141 2.7× 37 0.9× 60 572
Jiao Yin China 11 107 0.9× 131 1.2× 15 0.2× 120 2.3× 7 0.2× 35 493
Muhammad Sheraz Arshad Malik Pakistan 10 54 0.5× 133 1.3× 6 0.1× 77 1.5× 41 1.0× 31 430
Péricles Miranda Brazil 13 62 0.5× 295 2.8× 50 0.6× 34 0.6× 3 0.1× 70 504
Rahul Kumar India 13 72 0.6× 197 1.9× 16 0.2× 35 0.7× 5 0.1× 91 530
Vineet Sinha India 11 442 3.7× 387 3.7× 68 0.8× 220 4.2× 7 0.2× 32 765
Andrew Kwok-Fai Lui Hong Kong 12 78 0.7× 162 1.5× 9 0.1× 13 0.2× 15 0.4× 43 406
Sadia Sharmin Bangladesh 9 104 0.9× 232 2.2× 21 0.2× 52 1.0× 4 0.1× 39 386

Countries citing papers authored by Danielle Azar

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Azar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Azar

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Azar. A scholar is included among the top collaborators of Danielle Azar 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 Danielle Azar. Danielle Azar 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.
Azar, Danielle, et al.. (2024). Ant colony optimization for the identification of dysregulated gene subnetworks from expression data. BMC Bioinformatics. 25(1). 254–254. 1 indexed citations
2.
Azar, Danielle, et al.. (2023). To change or not to change? Modeling software system interactions using Temporal Graphs and Graph Neural Networks: A focus on change propagation. Information and Software Technology. 166. 107368–107368. 3 indexed citations
3.
Helwan, Abdulkader, Danielle Azar, & Mohammad Khaleel Sallam Ma’aitah. (2023). Conventional and deep learning methods in heart rate estimation from RGB face videos. Physiological Measurement. 45(2). 02TR01–02TR01. 8 indexed citations
4.
Helwan, Abdulkader, Danielle Azar, & Dilber Uzun Ozsahin. (2023). Medical Reports Summarization Using Text-To-Text Transformer. 1–4. 7 indexed citations
5.
Helwan, Abdulkader, Danielle Azar, & Hamdan Abdellatef. (2022). An update on the knee osteoarthritis severity grading using wide residual learning. Journal of X-Ray Science and Technology. 30(5). 1009–1021. 7 indexed citations
6.
Shih, Frank Y., et al.. (2021). Automated Diagnosis of Acne and Rosacea using Convolution Neural Networks. 607–613. 25 indexed citations
7.
Azar, Danielle, et al.. (2020). Searching for activation functions using a self-adaptive evolutionary algorithm. 145–146. 14 indexed citations
8.
Azar, Danielle, et al.. (2018). A Comparative Study of Nine Machine Learning Techniques Used for the Prediction of Diseases. 16(2). 25–40. 13 indexed citations
9.
Azar, Danielle, et al.. (2018). Genetic Algorithms with Local Optima Handling to Solve Sudoku Puzzles. 19–22. 10 indexed citations
10.
Azar, Danielle, et al.. (2018). An Image Processing and Genetic Algorithm-based Approach for the Detection of Melanoma in Patients.. PubMed. 57(1). 74–80. 16 indexed citations
11.
Falou, Omar, et al.. (2018). Computer-aided Detection of White Blood Cells Using Geometric Features and Color. 142–145. 9 indexed citations
12.
Falou, Omar, et al.. (2016). Computer-aided detection of Melanoma using geometric features. 125–128. 29 indexed citations
13.
Azar, Danielle, et al.. (2015). AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients. 13(1). 8–24. 1 indexed citations
14.
Wiggins, Mark W., et al.. (2014). Cue-utilisation typologies and pilots’ pre-flight and in-flight weather decision-making. Safety Science. 65. 118–124. 45 indexed citations
15.
Harmanani, Haidar, et al.. (2011). A Simulated Annealing Algorithm for the Capacitated Vehicle Routing Problem.. Computers and Their Applications. 96–101. 2 indexed citations
16.
Azar, Danielle, et al.. (2011). A simulated annealing algorithm for the capacitated vehicle routing problem. Scopus. 3 indexed citations
17.
Azar, Danielle, et al.. (2010). Predicting stability of classes in an object-oriented system. Journal of Computational Methods in Sciences and Engineering. 10(s1). S39–S49. 3 indexed citations
18.
Azar, Danielle, et al.. (2010). An ant colony optimization algorithm to improve software quality prediction models: Case of class stability. Information and Software Technology. 53(4). 388–393. 48 indexed citations
19.
Azar, Danielle, et al.. (2008). Software Systems. 23 indexed citations
20.
Azar, Danielle, et al.. (1999). Quality estimation models optimization using genetic algorithms: Case of maintainability. 1 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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