Hala Mulki

443 total citations
12 papers, 224 citations indexed

About

Hala Mulki is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Hala Mulki has authored 12 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in Hala Mulki's work include Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (4 papers) and Hate Speech and Cyberbullying Detection (4 papers). Hala Mulki is often cited by papers focused on Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (4 papers) and Hate Speech and Cyberbullying Detection (4 papers). Hala Mulki collaborates with scholars based in Türkiye, Tunisia and Belgium. Hala Mulki's co-authors include Hatem Haddad, İsmail Babaoğlu, Mourad Gridach and Bilal Ghanem and has published in prestigious journals such as Natural Language Engineering, Computación y Sistemas and Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).

In The Last Decade

Hala Mulki

12 papers receiving 200 citations

Peers

Hala Mulki

AI

IS

COMMU

SP

Aasish Pappu United States

Tharindu Ranasinghe United Kingdom

Syed Sarfaraz Akhtar India

Vigneshwaran Muralidaran United Kingdom

Deepanshu Vijay India

Véronique Moriceau France

Varada Kolhatkar Canada

Alex Marin United States

Pedro Calais Brazil

Amin Ahmad Pakistan

Aasish Pappu United States

Hala Mulki

168 ×0.8

AI

44 ×1.1

IS

31 ×1.0

COMMU

13 ×0.6

SP

17 ×0.9

SP

Citations per year, relative to Hala Mulki Hala Mulki (= 1×) peers Aasish Pappu

Countries citing papers authored by Hala Mulki

Since Specialization

Citations

This map shows the geographic impact of Hala Mulki'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 Hala Mulki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hala Mulki more than expected).

Fields of papers citing papers by Hala Mulki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hala Mulki. 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 Hala Mulki. The network helps show where Hala Mulki may publish in the future.

Co-authorship network of co-authors of Hala Mulki

This figure shows the co-authorship network connecting the top 25 collaborators of Hala Mulki. A scholar is included among the top collaborators of Hala Mulki 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 Hala Mulki. Hala Mulki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Mulki, Hala & Bilal Ghanem. (2021). Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language. 154–163. 3 indexed citations

2.

Mulki, Hala & Bilal Ghanem. (2021). Working Notes of the Workshop Arabic Misogyny Identification (ArMI-2021). 7–8. 8 indexed citations

3.

Mulki, Hala, Hatem Haddad, Mourad Gridach, & İsmail Babaoğlu. (2020). Syntax-ignorant N-gram embeddings for dialectal Arabic sentiment analysis. Natural Language Engineering. 27(3). 315–338. 2 indexed citations

4.

Mulki, Hala, et al.. (2019). L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language. 111–118. 123 indexed citations

5.

Mulki, Hala, et al.. (2019). Tw-StAR at SemEval-2019 Task 5: N-gram embeddings for Hate Speech Detection in Multilingual Tweets. 503–507. 4 indexed citations

6.

Mulki, Hala, Hatem Haddad, Mourad Gridach, & İsmail Babaoğlu. (2019). Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects. 30–39. 7 indexed citations

7.

Mulki, Hala, et al.. (2018). Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification. 167–171. 24 indexed citations

8.

Mulki, Hala, et al.. (2018). Tunisian Dialect Sentiment Analysis: A Natural Language Processing-based Approach. Computación y Sistemas. 22(4). 12 indexed citations

9.

Mulki, Hala, et al.. (2018). Preprocessing impact on Turkish sentiment analysis. 1–4. 2 indexed citations

10.

Mulki, Hala, Hatem Haddad, & İsmail Babaoğlu. (2018). Modern trends in Arabic sentiment analysis: A survey. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 58(3). 15–39. 7 indexed citations

11.

Gridach, Mourad, Hatem Haddad, & Hala Mulki. (2017). Churn Identification in Microblogs using Convolutional Neural Networks with Structured Logical Knowledge. 21–30. 16 indexed citations

12.

Mulki, Hala, Hatem Haddad, Mourad Gridach, & İsmail Babaoğlu. (2017). Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets. 664–669. 16 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.

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