Nada Ghneim

574 total citations
29 papers, 353 citations indexed

About

Nada Ghneim is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Nada Ghneim has authored 29 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Nada Ghneim's work include Natural Language Processing Techniques (11 papers), Topic Modeling (7 papers) and Speech and dialogue systems (5 papers). Nada Ghneim is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (7 papers) and Speech and dialogue systems (5 papers). Nada Ghneim collaborates with scholars based in Syria, Qatar and Algeria. Nada Ghneim's co-authors include Assef Jafar, Ouais Alsharif, Shammur Absar Chowdhury, Mohammad A. M. Abushariah, Hazem Hajj, Wassim El‐Hajj, Mohamed Afify, Ahmed Ali and Mourad Abbas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Nada Ghneim

26 papers receiving 308 citations

Peers

Nada Ghneim
Michal Kompan Slovakia
Bogdan Walek Czechia
Peng Qin Macao
Marisa Viveros United States
Michal Kompan Slovakia
Nada Ghneim
Citations per year, relative to Nada Ghneim Nada Ghneim (= 1×) peers Michal Kompan

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).

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.

Co-authorship network of co-authors of Nada Ghneim

This figure shows the co-authorship network connecting the top 25 collaborators of Nada Ghneim. A scholar is included among the top collaborators of Nada Ghneim 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 Nada Ghneim. Nada Ghneim 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.
Ghneim, Nada, et al.. (2023). A Machine Translation Like Approach to Generate Business Process Model from Textual Description. SN Computer Science. 4(3). 4 indexed citations
2.
Ghneim, Nada, et al.. (2023). ARNLI: ARABIC NATURAL LANGUAGE INFERENCE ENTAILMENT AND CONTRADICTION DETECTION. Computer Science. 24(2). 2 indexed citations
3.
Ghneim, Nada, et al.. (2022). The Use of NLP-Based Text Representation Techniques to Support Requirement Engineering Tasks: A Systematic Mapping Review. IEEE Access. 10. 62811–62830. 33 indexed citations
4.
Ghneim, Nada, et al.. (2022). Learning software requirements syntax: An unsupervised approach to recognize templates. Knowledge-Based Systems. 248. 108933–108933. 7 indexed citations
5.
Jafar, Assef, et al.. (2022). Image captioning model using attention and object features to mimic human image understanding. Journal Of Big Data. 9(1). 58 indexed citations
6.
Jafar, Assef, et al.. (2022). Pre-trained CNNs as Feature-Extraction Modules for Image Captioning. SHILAP Revista de lepidopterología. 21(1). 1–16. 5 indexed citations
7.
Ghneim, Nada, et al.. (2021). Arabic tweeps dialect prediction based on machine learning approach. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 11(2). 1627–1627. 2 indexed citations
8.
Ali, Ahmed, Shammur Absar Chowdhury, Mohamed Afify, et al.. (2021). Connecting Arabs. Communications of the ACM. 64(4). 124–129. 10 indexed citations
9.
Ghneim, Nada, et al.. (2020). DamascusTeam at CheckThat! 2020: Check Worthiness on Twitter with Hybrid CNN and RNN Models.. CLEF (Working Notes). 2 indexed citations
10.
Ghneim, Nada, et al.. (2020). Dynamic behavior based churn prediction in mobile telecom. Expert Systems with Applications. 162. 113779–113779. 78 indexed citations
12.
Ghneim, Nada, et al.. (2020). Arabic Offensive Language Detection with Attention-based Deep Neural Networks. 76–81. 14 indexed citations
13.
Ghneim, Nada, et al.. (2019). Emotion analysis of Arabic tweets using deep learning approach. Journal Of Big Data. 6(1). 39 indexed citations
14.
Ghneim, Nada, et al.. (2018). Anaphora Resolution in Business Process Requirement Engineering. International Journal of Electrical and Computer Engineering (IJECE). 8(3). 1766–1766. 1 indexed citations
15.
Ghneim, Nada, et al.. (2017). Arabic Tweeps Gender and Dialect Prediction.. CLEF (Working Notes). 8 indexed citations
16.
Ghneim, Nada, et al.. (2017). Arabic Speech Act Recognition Using Bootstrapped Rule Based System. 1(1). 1–7. 2 indexed citations
17.
Ghneim, Nada, et al.. (2011). An Application Oriented Arabic Morphological Analyzer. 1 indexed citations
18.
Ghneim, Nada, et al.. (2008). Arabic Morphological Analysis: a New Approach. 1–6. 14 indexed citations
19.
Ghneim, Nada, et al.. (2006). Emotional audio visual Arabic text to speech. European Signal Processing Conference. 1–4. 1 indexed citations
20.
Ghneim, Nada, et al.. (2006). Prosodic Feature Introduction and Emotion Incorporation in an Arabic TTS. 1. 1317–1322. 3 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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