Malak Abdullah

1.9k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Malak Abdullah is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Malak Abdullah has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 14 papers in Sociology and Political Science and 9 papers in Information Systems. Recurrent topics in Malak Abdullah's work include Topic Modeling (18 papers), Sentiment Analysis and Opinion Mining (14 papers) and Hate Speech and Cyberbullying Detection (13 papers). Malak Abdullah is often cited by papers focused on Topic Modeling (18 papers), Sentiment Analysis and Opinion Mining (14 papers) and Hate Speech and Cyberbullying Detection (13 papers). Malak Abdullah collaborates with scholars based in Jordan, United States and Malaysia. Malak Abdullah's co-authors include Yaser Jararweh, Samira Shaikh, Mahmoud Al‐Ayyoub, Elhadj Benkhelifa, Ismail Hmeidi, Laith Abualigah, Mais Tawalbeh, Ahmad MohdAziz Hussein, Mirsad Hadžikadić and Mwaffaq El-Heis and has published in prestigious journals such as Neural Computing and Applications, Soft Computing and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Malak Abdullah

47 papers receiving 1.1k citations

Hit Papers

Machine Learning with Oversampling and Undersampling Tech... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Malak Abdullah Jordan 14 670 191 156 146 97 50 1.2k
Matloob Khushi Australia 20 737 1.1× 139 0.7× 106 0.7× 183 1.3× 78 0.8× 56 1.5k
Mohammed Ali Al-Garadi United States 17 750 1.1× 167 0.9× 226 1.4× 153 1.0× 207 2.1× 45 1.4k
Zenun Kastrati Sweden 18 767 1.1× 218 1.1× 80 0.5× 187 1.3× 82 0.8× 48 1.4k
Liang Yao China 18 1.4k 2.1× 275 1.4× 115 0.7× 123 0.8× 243 2.5× 36 1.9k
Md. Saddam Hossain Mukta Bangladesh 14 420 0.6× 87 0.5× 107 0.7× 65 0.4× 119 1.2× 56 880
Saima Sadiq Pakistan 19 583 0.9× 184 1.0× 192 1.2× 92 0.6× 175 1.8× 42 1.3k
Abdul Khader Jilani Saudagar Saudi Arabia 18 442 0.7× 109 0.6× 231 1.5× 58 0.4× 238 2.5× 110 1.2k
Rahee Walambe India 21 391 0.6× 83 0.4× 115 0.7× 104 0.7× 259 2.7× 59 1.3k
Sher Muhammad Daudpota Pakistan 14 516 0.8× 116 0.6× 76 0.5× 152 1.0× 49 0.5× 43 875
Adnan Qayyum Pakistan 18 813 1.2× 221 1.2× 248 1.6× 90 0.6× 319 3.3× 56 1.8k

Countries citing papers authored by Malak Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Malak Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malak Abdullah

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

All Works

20 of 20 papers shown
1.
3.
Abdullah, Malak, et al.. (2023). JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS). 526–531. 2 indexed citations
5.
Abdullah, Malak, et al.. (2022). Combating propaganda texts using transfer learning. IAES International Journal of Artificial Intelligence. 12(2). 956–956. 2 indexed citations
6.
Abdullah, Malak, et al.. (2022). Predicting students’ academic performance using e-learning logs. IAES International Journal of Artificial Intelligence. 12(2). 831–831. 6 indexed citations
7.
Obeidat, Rasha, et al.. (2022). Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations. PeerJ Computer Science. 8. e1151–e1151. 10 indexed citations
8.
Abdullah, Malak, et al.. (2022). ChatGPT: Fundamentals, Applications and Social Impacts. 1–8. 167 indexed citations
9.
Abdullah, Malak, et al.. (2022). Comprehensive study of pre-trained language models: detecting humor in news headlines. Soft Computing. 27(5). 2575–2599. 1 indexed citations
10.
Abdullah, Malak, et al.. (2021). E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education. Neural Computing and Applications. 35(16). 11481–11495. 11 indexed citations
11.
Al‐Ayyoub, Mahmoud, et al.. (2020). JUST System for WMT20 Chat Translation Task. Empirical Methods in Natural Language Processing. 479–482. 3 indexed citations
12.
Abdullah, Malak, et al.. (2020). TeamJUST at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Ensembling Techniques. 594–600. 3 indexed citations
13.
Abdullah, Malak, et al.. (2020). MLEngineer at SemEval-2020 Task 7: BERT-Flair Based Humor Detection Model (BFHumor). 1041–1048. 5 indexed citations
15.
Abdullah, Malak, et al.. (2020). 2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays. 1–6. 12 indexed citations
16.
Tawalbeh, Mais, et al.. (2019). Automatic Identification of Fake News Using Deep Learning. 24 indexed citations
17.
Abdullah, Malak & Samira Shaikh. (2018). TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning. 350–357. 44 indexed citations
18.
Abdullah, Malak, et al.. (2018). A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data. Health Informatics Journal. 25(4). 1756–1767. 5 indexed citations
19.
Abdullah, Malak & Mirsad Hadžikadić. (2017). Sentiment Analysis of Twitter Data: Emotions Revealed Regarding Donald Trump during the 2015-16 Primary Debates. 760–764. 13 indexed citations
20.
Abdullah, Malak, et al.. (2011). The Chained-Cubic Tree Interconnection Network. The International Arab Journal of Information Technology. 8. 334–343. 13 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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