Danielle Azar

20 papers and 204 indexed citations i.

About

Danielle Azar is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Danielle Azar has authored 20 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 6 papers in Software. Recurrent topics in Danielle Azar’s work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Software System Performance and Reliability (3 papers). Danielle Azar is often cited by papers focused on Software Engineering Research (7 papers), Software Reliability and Analysis Research (6 papers) and Software System Performance and Reliability (3 papers). Danielle Azar collaborates with scholars based in Lebanon, Canada and Australia. Danielle Azar's co-authors include Thomas Loveday, Mark W. Wiggins, David G. Newman, Haidar Harmanani, Abdulkader Helwan, Sima Tokajian, Omar Falou, Elizabeth S. L. Berndl, Ali Asgary and Mohammad Khaleel Sallam Ma’aitah and has published in prestigious journals such as Safety Science, Physiological Measurement and Information and Software Technology.

In The Last Decade

Co-authorship network of co-authors of Danielle Azar i

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.

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).

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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