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Esraa Mohamed

Esraa Mohamed has 2 papers in our library, in 2018–2019, most of them on Semitic languages; often with Anis Charfi, Reem Suwaileh, Tamer Elsayed.

2 papers in our library · 2018–2019

OpenAlex · ORCID · h-index 6 · 30 works · 307 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 36 times in our library · ⭐ Paper Stars ranking: #7312

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Cairo UniversityGiza · Egypt2022–2025 · 3 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2019–2025 · 2 paperscurrent🎓Carnegie Mellon University QatarDoha · Qatar2019–2025 · 2 paperscurrent🎓Tanta UniversityTanta · Egypt2021–2024 · 6 papers🎓Suez Canal UniversityIsmailia · Egypt2016–2023 · 5 papers🎓Beni-Suef UniversityBanī Suwayf · Egypt2020–2024 · 2 papers🎓Helwan UniversityCairo · Egypt2015–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Semitic languages · 2 works

 Works by year

2010s

20191 paper20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DART: A Large Dataset of Dialectal Arabic Tweets (2018 · 60 citations)
    Arabic speakers write online mostly in regional dialects rather than Modern Standard Arabic. Labeled dialectal data is scarce, and existing collections tend to be small, skewed toward a few dialects, mixed in genre, or labeled automatically from geolocation. The authors built DART, a public corpus of roughly 25K…
  2. A Fine-Grained Annotated Multi-Dialectal Arabic Corpus (2019 · 11 citations)
    Research on author profiling in Arabic has been limited because few resources exist for dialectal Arabic, and those that do rarely include speaker attributes such as age or gender.

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 36 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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