Hamdan Alamri

760 citations
7 papers · 454 · 1 hit paper · h-index 6

Impact in

Papers in

Hamdan Alamri

7 papers receiving 428 citations

Hamdan Alamri's Hit Papers

Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation 2020 · 192 citations
1920+2+4Years since publication50100150

Peers

Hamdan Alamri
Comparison fields: 5 of 68
  • Computer Science Applications 172
  • Education 209
  • Developmental and Educational Psychology 88
  • Health Informatics 8
  • Information Systems 97
Replace Gi Woong Choi with:
Gi Woong Choi United States
Daeyeoul Lee United States
Mouna Denden China
Nilüfer Atman Uslu Türkiye
Tonia A. Dousay United States
Qiang Hao United States
Sheng-Yi Wu Taiwan
Victoria L. Lowell United States
Sung-Hee Jin South Korea
Ahmet Üstün Türkiye
Hamdan Alamri relative to Gi Woong Choi United States Gi Woong Choi's profile →
Citations per field
00.5×3.2×
Gi Woong Choi · 1×
Citations per year

Countries citing papers authored by Hamdan Alamri

Since Specialization
Citations

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

Fields of papers citing papers by Hamdan Alamri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Hamdan Alamri, 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 Hamdan Alamri Line = papers co-authored together Hamdan Alamri links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation
Hit paper breakdown →
2020192
2 2020154
3 201763
4 202023
5 202313
6 20205
7 20234

About Hamdan Alamri

Hamdan Alamri is a scholar working on Education, Developmental and Educational Psychology, Social Psychology, Clinical Psychology and Information Systems, having authored 7 papers that have together received 454 indexed citations. Recurring topics across this work include Online and Blended Learning (2 papers), Motivation and Self-Concept in Sports (2 papers), COVID-19 and Mental Health (2 papers), Online Learning and Analytics (2 papers), Educational Environments and Student Outcomes (1 paper), Educational Games and Gamification (1 paper), Impact of Technology on Adolescents (1 paper) and Learning Styles and Cognitive Differences (1 paper). The work is most often cited by research in Computer Science Applications (172 citations), Education (209 citations), Developmental and Educational Psychology (88 citations), Health Informatics (8 citations) and Information Systems (97 citations). Hamdan Alamri has collaborated with scholars based in Saudi Arabia and United States. Frequent co-authors include William R. Watson, Sunnie Lee Watson, Victoria L. Lowell, Ji Hyun Yu, Chad Mueller, Secil Caskurlu, Jennifer Richardson and Shamila Janakiraman. Their work appears in journals such as British Journal of Educational Technology, Computers & Education, Journal of Research on Technology in Education, Education and Information Technologies and TechTrends.

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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