Hamdan Alamri

7 papers receiving 506 citations

Hamdan Alamri's Hit Papers

Learning Technology Models that Support Personalization within Blended Learning Environments in Higher Education 2020 · 191 citations
1910+2+4Years since publication50100150200

Peers

Hamdan Alamri
Comparison fields: 5 of 72
  • Computer Science Applications 203
  • Health Informatics 14
  • Education 250
  • Developmental and Educational Psychology 107
  • Information Systems 110
Replace Gi Woong Choi with:
Gi Woong Choi United States
Michael Yi‐Chao Jiang Hong Kong
Victoria Lynn Lowell United States
Gwo‐Haur Hwang Taiwan
Tonia A. Dousay United States
Taotao Long China
Liang‐Yi Li Taiwan
Sung-Hee Jin South Korea
Elif Polat Türkiye
Maya Usher Israel
Hamdan Alamri relative to Gi Woong Choi United States Gi Woong Choi's profile →
Citations per field
00.5×2×3×3.7×
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

8 of 8 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 →
2020226
2
Learning Technology Models that Support Personalization within Blended Learning Environments in Higher Education
Hit paper breakdown →
2020191
3 201768
4 202030
5 202313
6 20209
7 20235
8 20260

About Hamdan Alamri

Hamdan Alamri is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Education, Clinical Psychology and Social Psychology, having authored 8 papers that have together received 542 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (2 papers), Online and Blended Learning (2 papers), Motivation and Self-Concept in Sports (2 papers), Online Learning and Analytics (2 papers), Impact of Technology on Adolescents (1 paper), Innovative Teaching and Learning Methods (1 paper), Education and Technology Integration (1 paper) and Educational Environments and Student Outcomes (1 paper). The work is most often cited by research in Computer Science Applications (203 citations), Health Informatics (14 citations), Education (250 citations), Developmental and Educational Psychology (107 citations) and Information Systems (110 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 Lynn Lowell, Ji Hyun Yu, Chad Mueller, Jennifer C Richardson, Secil Caskurlu and Shamila Janakiraman. Their work appears in journals such as Journal of Research on Technology in Education, Education and Information Technologies, TechTrends, Computers & Education and British Journal of Educational Technology.

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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