Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Abusive Language Detection on Arabic Social Media
2017205 citationsHamdy Mubarak, Kareem Darwish et al.Edinburgh Research Explorer (University of Edinburgh)profile →
Stance detection on social media: State of the art and trends
This map shows the geographic impact of Walid Magdy'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 Walid Magdy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walid Magdy more than expected).
This network shows the impact of papers produced by Walid Magdy. 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 Walid Magdy. The network helps show where Walid Magdy may publish in the future.
Co-authorship network of co-authors of Walid Magdy
This figure shows the co-authorship network connecting the top 25 collaborators of Walid Magdy.
A scholar is included among the top collaborators of Walid Magdy 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 Walid Magdy. Walid Magdy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Farha, Ibrahim Abu & Walid Magdy. (2020). From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset. Edinburgh Research Explorer (University of Edinburgh).68 indexed citations
12.
Wilson, Steven R., Walid Magdy, Barbara McGillivray, Kiran Garimella, & Gareth Tyson. (2020). Urban Dictionary Embeddings for Slang NLP Applications. Language Resources and Evaluation. 4764–4773.10 indexed citations
Magdy, Walid, et al.. (2018). Part-of-Speech Tagging for Arabic Gulf Dialect Using Bi-LSTM. Language Resources and Evaluation. 3925–3932.11 indexed citations
15.
Mubarak, Hamdy, Kareem Darwish, & Walid Magdy. (2017). Abusive Language Detection on Arabic Social Media. Edinburgh Research Explorer (University of Edinburgh). 52–56.205 indexed citations breakdown →
Magdy, Walid, et al.. (2012). Web-based Pseudo Relevance Feedback for Microblog Retrieval. Text REtrieval Conference.5 indexed citations
19.
Magdy, Walid, Johannes Leveling, & Gareth J. F. Jones. (2009). DCU @ CLEF-IP 2009: Exploring Standard IR Techniques on Patent Retrieval.1 indexed citations
20.
Darwish, Kareem, et al.. (2006). Building a Heterogeneous Information Retrieval Collection of Printed Arabic Documents.. Language Resources and Evaluation. 657–662.3 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.