Chaker Mhamdi

552 citations
11 papers · 179 · h-index 7

Impact in

Papers in

    • Organizational and Employee Performance 4
    • Advanced Text Analysis Techniques 1
    • Artificial Intelligence in Games 1
    • Media Studies and Communication 2
    • Social Media and Politics 1
    • Knowledge Management and Sharing 1

Chaker Mhamdi

10 papers receiving 164 citations

Peers

Chaker Mhamdi
Comparison fields: 5 of 46
  • Information Systems and Management 61
  • Health Informatics 7
  • Artificial Intelligence 81
  • Visual Arts and Performing Arts 10
  • Communication 14
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Citations per year

Countries citing papers authored by Chaker Mhamdi

Since Specialization
Citations

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

Fields of papers citing papers by Chaker Mhamdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Chaker Mhamdi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chaker Mhamdi Line = papers co-authored together Chaker Mhamdi links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The effect of social media usage on students’ e-learning acceptance in higher education: A case study from the United Arab Emirates
201942
2
Implementing Artificial Intelligence in the United Arab Emirates Healthcare Sector: An Extended Technology Acceptance Model
201937
3
Analysis and Classification of Arabic Newspapers’ Facebook Pages using Text Mining Techniques
201723
4
Studying the Social Media Adoption by university students in the United Arab Emirates
201923
5
Factors affecting the Adoption and Meaningful Use of Social Media: A Structural Equation Modeling Approach
201918
6 201613
7 20178
8 20176
9 20174
10
What Can Video Add to the Learning Experience? Challenges and Opportunities
20194
11 20191

About Chaker Mhamdi

Chaker Mhamdi is a scholar working on Artificial Intelligence, Communication, Information Systems and Management, Sociology and Political Science and Literature and Literary Theory, having authored 11 papers that have together received 179 indexed citations. Recurring topics across this work include Organizational and Employee Performance (4 papers), Technology Adoption and User Behaviour (3 papers), Media Studies and Communication (2 papers), Advanced Text Analysis Techniques (1 paper), Social Media and Politics (1 paper), Discourse Analysis in Language Studies (1 paper), Knowledge Management and Sharing (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Information Systems and Management (61 citations), Health Informatics (7 citations), Artificial Intelligence (81 citations), Visual Arts and Performing Arts (10 citations) and Communication (14 citations). Chaker Mhamdi has collaborated with scholars based in Oman, Tunisia and United Arab Emirates. Frequent co-authors include Said A. Salloum, Khaled Shaalan, Barween Al Kurdi, Mahmoud Alghizzawi, Mohammed Habes, Mazuri Abd Ghani and Mostafa Al‐Emran. Their work appears in journals such as Mediterranean Journal of Social Sciences and SHILAP Revista de lepidopterología.

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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