484 total citations 17 papers, 284 citations indexed
About
Heba Elfardy is a scholar working on Artificial Intelligence, Communication and Social Psychology.
According to data from OpenAlex, Heba Elfardy has authored 17 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Social Psychology. Recurrent topics in Heba Elfardy's work include Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (5 papers). Heba Elfardy is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (5 papers). Heba Elfardy collaborates with scholars based in United States, Germany and Macao. Heba Elfardy's co-authors include Mona Diab, Mohamed Al-Badrashiny, Wael Salloum, Nizar Habash, Chris Callison-Burch, Pradeep Dasigi, Abdelati Hawwari, Mohammed Attia, Ramy Eskander and Mohit Bansal and has published in prestigious journals such as Language Resources and Evaluation, Meeting of the Association for Computational Linguistics and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
In The Last Decade
Heba Elfardy
16 papers
receiving
241 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Heba Elfardy'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 Heba Elfardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba Elfardy more than expected).
This network shows the impact of papers produced by Heba Elfardy. 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 Heba Elfardy. The network helps show where Heba Elfardy may publish in the future.
Co-authorship network of co-authors of Heba Elfardy
This figure shows the co-authorship network connecting the top 25 collaborators of Heba Elfardy.
A scholar is included among the top collaborators of Heba Elfardy 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 Heba Elfardy. Heba Elfardy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhou, Wenxuan, Qiang Ning, Heba Elfardy, Kevin Small, & Muhao Chen. (2022). Answer Consolidation: Formulation and Benchmarking. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4314–4325.1 indexed citations
Elfardy, Heba, et al.. (2017). Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification. International Joint Conference on Natural Language Processing. 59–66.2 indexed citations
Diab, Mona, Mohamed Al-Badrashiny, Mohammed Attia, et al.. (2014). Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon. Language Resources and Evaluation. 3782–3789.20 indexed citations
Elfardy, Heba & Mona Diab. (2013). Sentence Level Dialect Identification in Arabic. Meeting of the Association for Computational Linguistics. 456–461.82 indexed citations
16.
Elfardy, Heba & Mona Diab. (2012). Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations. Language Resources and Evaluation. 371–378.21 indexed citations
17.
Elfardy, Heba & Mona Diab. (2012). Token Level Identification of Linguistic Code Switching. International Conference on Computational Linguistics. 287–296.29 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
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