Nada Ghneim

20 papers and 184 indexed citations i.

About

Nada Ghneim is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nada Ghneim has authored 20 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nada Ghneim’s work include Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (4 papers) and Topic Modeling (4 papers). Nada Ghneim is often cited by papers focused on Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (4 papers) and Topic Modeling (4 papers). Nada Ghneim collaborates with scholars based in Syria, Algeria and Saudi Arabia. Nada Ghneim's co-authors include Assef Jafar, Ouais Alsharif, Mohammad A. M. Abushariah, Ahmed Ali, Hazem Hajj, Shammur Absar Chowdhury, Wassim El‐Hajj, Mohamed Afify and Mourad Abbas and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Nada Ghneim i

Fields of papers citing papers by Nada Ghneim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nada Ghneim

Since Specialization
Citations

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