--- title: "Manal Kalkatawi — author profile and papers" description: "Manal Kalkatawi, King Abdulaziz University: 2 papers on Elamur Research (2020–2021), h-index 13 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/manal-kalkatawi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/manal-kalkatawi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Manal Kalkatawi # Manal Kalkatawi Manal Kalkatawi has 2 papers in our library, in 2020–2021, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Basma Alharbi](https://md.research.elamur.ai/free/en/authors/basma-alharbi/), [Hind Alamro](https://md.research.elamur.ai/free/en/authors/hind-alamro/), [Inji Ibrahim Jaber](https://md.research.elamur.ai/free/en/authors/inji-ibrahim-jaber/). 2 papers in our library · 2020–2021 [OpenAlex](https://openalex.org/A5050617056) · [ORCID](https://orcid.org/0000-0002-9820-4129) · [**h-index 13**](https://openalex.org/authors/A5050617056) · [53 works](https://openalex.org/works?filter=author.id:A5050617056) · [788 citations](https://openalex.org/works?filter=author.id:A5050617056&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/manal-kalkatawi/#papers) · [🔗 16 citations in our library](https://md.research.elamur.ai/free/en/authors/manal-kalkatawi/cited-by/) · [⭐ Paper Star rank #4429](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4429) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Manal+Kalkatawi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Manal+Kalkatawi) · [dblp](https://dblp.org/search?q=Manal+Kalkatawi) · [ACL Anthology](https://aclanthology.org/search/?q=Manal+Kalkatawi) ## Affiliations [🎓**King Abdulaziz University** Jeddah · Saudi Arabia 2018–2025 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/king-abdulaziz-university/) · [🎓**King Abdullah University of Science and Technology** Jeddah · Saudi Arabia 2011–2018 · 9 papers](https://md.research.elamur.ai/free/en/universities/king-abdullah-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Sentiment & emotion (2)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Evaluation & benchmarks (2)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Works by year ### 2020s [**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/alamro-2021-overview-arabic-sentiment-analysis-2021/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/) ## Papers The most cited first (OpenAlex and our library). 1. **[ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)** *(2020 · 39 citations)* Arabic sentiment analysis has lagged behind English and Chinese. One commonly cited reason is the shortage of large, carefully labelled benchmarks. Existing Twitter corpora are either big but labelled automatically from emojis (TEAD, ASTAD) or hand-labelled but small. The authors built ASAD, a three-class… 2. **[Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST](https://md.research.elamur.ai/free/en/papers/alamro-2021-overview-arabic-sentiment-analysis-2021/)** *(2021 · 5 citations)* This paper reports on a Kaggle-hosted shared task run by KAUST. Participants had to sort Arabic tweets into positive, negative or neutral. The data came from ASAD, a corpus of 100K sentiment-labelled tweets from 2012–2020. It covers Khaleeji, Hijazi, Egyptian and Modern Standard Arabic and was annotated by the… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Basma Alharbi](https://md.research.elamur.ai/free/en/authors/basma-alharbi/) ×2 - [Hind Alamro](https://md.research.elamur.ai/free/en/authors/hind-alamro/) ×2 - [Inji Ibrahim Jaber](https://md.research.elamur.ai/free/en/authors/inji-ibrahim-jaber/) ×2 - [Manal Alshehri](https://md.research.elamur.ai/free/en/authors/manal-alshehri/) ×2 - [Xiangliang Zhang](https://md.research.elamur.ai/free/en/authors/xiangliang-zhang/) ×2 - [Zuhair Khayyat](https://md.research.elamur.ai/free/en/authors/zuhair-khayyat/) ×2 ## Cited by Papers of our library cite their works 16 times (of the 140,884 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/manal-kalkatawi/cited-by/).