Hind Almerekhi

966 citations
23 papers · 571 indexed · h-index 11
Topics
Hate Speech and Cyberbullying Detection (13 papers)Social Media and Politics (8 papers)Spam and Phishing Detection (6 papers)
Partner nations
QatarFinlandIndia

In The Last Decade

Hind Almerekhi

21 papers receiving 541 citations

Peers

Hind Almerekhi
Comparison fields: 5 of 79
  • Artificial Intelligence 411
  • Information Systems 167
  • Sociology and Political Science 140
  • Communication 122
  • Social Psychology 88
Replace Sérgio Nunes with:
Sérgio Nunes Portugal
Mainack Mondal India
Nithum Thain United States
Debora Nozza Italy
Dallas Card United States
Bertie Vidgen United Kingdom
Megan Squire United States
Davide Buscaldi Spain
Noura Farra United States
Saadia Gabriel United States
Hind Almerekhi relative to Sérgio Nunes Portugal Sérgio Nunes's profile →
Citations per field
00.5×1.5×
Sérgio Nunes · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 3
3 9
4 10
5 6
6 6
7 8
8 15
9 21
10 30
11 47
12 30
13 21
14 98
15 29
16 10
17
Towards NLP-based Semi-automatic Preparation of Content for Language Learning using LingoSnacks m-Learning Platform
1
18 8
19 17
20 2

About Hind Almerekhi

Hind Almerekhi is a scholar working on Communication, Information Systems and Artificial Intelligence, having authored 23 papers that have together received 571 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (13 papers), Social Media and Politics (8 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Communication (122 citations), Artificial Intelligence (411 citations) and Information Systems (167 citations). Hind Almerekhi has collaborated with scholars based in Qatar, Finland and India. Frequent 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. Their work appears in journals such as PLoS ONE, SAGE Open and Human-centric Computing and Information Sciences.

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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