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Lama Alsudias

Lama Alsudias has 3 papers in our library, in 2019–2020, most of them on Semitic languages, Knowledge graphs & ontologies; often with Paul Rayson.

3 papers in our library · 2019–2020

OpenAlex · ORCID · h-index 4 · 16 works · 96 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #7613

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

🎓King Saud UniversityRiyadh · Saudi Arabia2011–2026 · 4 papersEmployment since 2011current🎓Lancaster UniversityLancaster · United Kingdom2018–2023 · 3 papersEducationEmployment 2018–2022

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 11The field of science this work belongs to (OpenAlex fields).Social Sciences · 2 worksSociology and Political Science · 2 worksCommunication · 1 workArtificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workBiochemistry, Genetics and Molecular Biology · 1 workLanguage and Linguistics · 1 workMolecular Biology · 1 workEpidemiology · 1 workMedicine · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksKnowledge graphs & ontologies · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Ontology engineering · 1 work

 Works by year

2020s

20202 papers

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media? (2020 · 49 citations)
    The paper looks at how Arabic-language Twitter could help health authorities in Arab countries during COVID-19.
  2. Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology (2020 · 5 citations)
    The paper addresses the near absence of medical ontologies for Arabic, and specifically the lack of any infectious disease ontology that accounts for how ordinary people talk about illness, for example on social media.
  3. Classifying Information Sources in Arabic Twitter to Support Online Monitoring of Infectious Diseases (2019 · 3 citations)
    Arabic tweets about health spread both useful guidance and a lot of misinformation. Earlier monitoring work has mostly examined English tweets and looked only at what tweets say. Alsudias and Rayson instead ask who posted the information, since the type of source signals how much a reader can trust it.

 Co-authors here

1 co-author 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 8 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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