Hind Almerekhi

966 total citations
23 papers, 571 citations indexed

About

Hind Almerekhi is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Hind Almerekhi has authored 23 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Information Systems and 8 papers in Communication. Recurrent topics in Hind Almerekhi's work include Hate Speech and Cyberbullying Detection (13 papers), Social Media and Politics (8 papers) and Spam and Phishing Detection (6 papers). Hind Almerekhi is often cited by papers focused on Hate Speech and Cyberbullying Detection (13 papers), Social Media and Politics (8 papers) and Spam and Phishing Detection (6 papers). Hind Almerekhi collaborates with scholars based in Qatar, Finland and India. Hind Almerekhi's co-authors include Bernard J. Jansen, Joni Salminen, Soon-Gyo Jung, Haewoon Kwak, Shammur Absar Chowdhury, Jisun An, Soon‐gyo Jung, Ahmed Waqas, Abdelkarim Erradi and Fabio Veronesi and has published in prestigious journals such as PLoS ONE, SAGE Open and Human-centric Computing and Information Sciences.

In The Last Decade

Hind Almerekhi

21 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hind Almerekhi Qatar 11 411 167 140 122 88 23 571
Sérgio Nunes Portugal 9 713 1.7× 212 1.3× 109 0.8× 177 1.5× 112 1.3× 40 849
Nithum Thain United States 10 975 2.4× 223 1.3× 168 1.2× 189 1.5× 104 1.2× 20 1.1k
Mainack Mondal India 15 389 0.9× 211 1.3× 266 1.9× 131 1.1× 42 0.5× 43 644
Bertie Vidgen United Kingdom 15 652 1.6× 155 0.9× 196 1.4× 169 1.4× 100 1.1× 31 851
Debora Nozza Italy 14 906 2.2× 139 0.8× 118 0.8× 127 1.0× 111 1.3× 38 1.1k
Davide Buscaldi Spain 14 613 1.5× 164 1.0× 62 0.4× 56 0.5× 70 0.8× 67 827
Noura Farra United States 12 1.2k 2.9× 230 1.4× 119 0.8× 104 0.9× 138 1.6× 15 1.3k
Dallas Card United States 13 766 1.9× 130 0.8× 225 1.6× 156 1.3× 39 0.4× 24 1.1k
Megan Squire United States 9 323 0.8× 206 1.2× 206 1.5× 166 1.4× 70 0.8× 31 722
Patricio Martínez-Barco Spain 19 834 2.0× 186 1.1× 179 1.3× 41 0.3× 49 0.6× 93 1.0k

Countries citing papers authored by Hind Almerekhi

Since Specialization
Citations

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

Fields of papers citing papers by Hind Almerekhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hind Almerekhi

This figure shows the co-authorship network connecting the top 25 collaborators of Hind Almerekhi. A scholar is included among the top collaborators of Hind Almerekhi 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 Hind Almerekhi. Hind Almerekhi 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.
2.
Jansen, Bernard J., et al.. (2023). Understanding Audiences, Customers, and Users via Analytics. 3 indexed citations
3.
Salminen, Joni, et al.. (2023). “There Is something Rotten in Denmark”: Investigating the Deepfake persona perceptions and their Implications for human-centered AI. Repositório Institucional do ISCTE-IUL (ISCTE-IUL). 2(1). 100031–100031. 9 indexed citations
4.
5.
Jansen, Bernard J., Joni Salminen, Soon‐gyo Jung, & Hind Almerekhi. (2022). The illusion of data validity: Why numbers about people are likely wrong. Figshare. 6(4). 100020–100020. 6 indexed citations
6.
Almerekhi, Hind, Haewoon Kwak, & Bernard J. Jansen. (2022). Investigating toxicity changes of cross-community redditors from 2 billion posts and comments. PeerJ Computer Science. 8. e1059–e1059. 6 indexed citations
7.
Almerekhi, Hind, Haewoon Kwak, Joni Salminen, & Bernard J. Jansen. (2022). PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits. Figshare. 6(4). 100019–100019. 8 indexed citations
8.
Mall, Raghvendra, et al.. (2020). Four Types of Toxic People: Characterizing Online Users’ Toxicity over Time. 1–11. 15 indexed citations
9.
Almerekhi, Hind, et al.. (2020). Investigating Toxicity Across Multiple Reddit Communities, Users, and Moderators. 294–298. 21 indexed citations
10.
Almerekhi, Hind, Haewoon Kwak, Joni Salminen, & Bernard J. Jansen. (2020). Are These Comments Triggering? Predicting Triggers of Toxicity in Online Discussions. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 3033–3040. 30 indexed citations
11.
Waqas, Ahmed, Joni Salminen, Soon-Gyo Jung, Hind Almerekhi, & Bernard J. Jansen. (2019). Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate. PLoS ONE. 14(9). e0222194–e0222194. 47 indexed citations
12.
Almerekhi, Hind, Haewoon Kwak, Bernard J. Jansen, & Joni Salminen. (2019). Detecting Toxicity Triggers in Online Discussions. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 291–292. 30 indexed citations
13.
Salminen, Joni, Hind Almerekhi, Ahmed Kamel, Soon‐gyo Jung, & Bernard J. Jansen. (2019). Online Hate Ratings Vary by Extremes. 213–217. 21 indexed citations
14.
Salminen, Joni, Hind Almerekhi, Soon-Gyo Jung, et al.. (2018). Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for Identifying and Classifying Hate in Online News Media. Proceedings of the International AAAI Conference on Web and Social Media. 12(1). 98 indexed citations
15.
16.
Almerekhi, Hind, Maram Hasanain, & Tamer Elsayed. (2016). EveTAR. Qatar University QSpace (Qatar University). 689–692. 10 indexed citations
17.
Erradi, Abdelkarim, et al.. (2013). Towards NLP-based Semi-automatic Preparation of Content for Language Learning using LingoSnacks m-Learning Platform. Qatar University QSpace (Qatar University). 1 indexed citations
18.
Erradi, Abdelkarim, et al.. (2013). Game-Based Micro-learning Approach for Language Vocabulary Acquisition Using LingoSnacks. Qatar University QSpace (Qatar University). 235–237. 8 indexed citations
19.
Erradi, Abdelkarim, et al.. (2012). ArabicTutor: A multimedia m-Learning platform for learning Arabic spelling and vocabulary. Qatar University QSpace (Qatar University). 2. 833–838. 17 indexed citations
20.
Erradi, Abdelkarim, et al.. (2012). LingoSnacks: m-Learning platform for language learning. Qatar University QSpace (Qatar University). 2. 149–154. 2 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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