Hanan Aldowah

1.6k citations
16 papers · 888 indexed · 1 hit paper · h-index 10

Hanan Aldowah

16 papers receiving 830 citations

Hit Papers

Educational data mining and learning analytics for 21st c...3262019202620212023100200300

Peers

Hanan Aldowah
Comparison fields: 5 of 88
  • Computer Science Applications 447
  • Education 324
  • Information Systems and Management 75
  • Information Systems 237
  • Health Information Management 38
Replace Chengjiu Yin with:
Chengjiu Yin Japan
Maiga Chang Canada
María Puerto Paule Ruiz Spain
Roberto Barchino Spain
Yalın Kılıç Türel Türkiye
Krishna Madhavan United States
Mingyu Feng United States
Joris Klerkx Belgium
Zacharoula Papamitsiou Greece
Roslina Ibrahim Malaysia
Hanan Aldowah relative to Chengjiu Yin Japan Chengjiu Yin's profile →
Citations per field
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Chengjiu Yin · 1×
Citations per year

Countries citing papers authored by Hanan Aldowah

Since Specialization
Citations

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

Fields of papers citing papers by Hanan Aldowah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Hanan Aldowah, 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 Hanan Aldowah Line = papers co-authored together Hanan Aldowah links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20251
2 202249
3 20224
4 202117
5 20203
6 201936
7 2019143
8
Educational data mining and learning analytics for 21st century higher education: A review and synthesisbreakdown →
2019326
9 20184
10 201884
11 20186
12 201830
13 2017129
14 20178
15 201514
16 201534

About Hanan Aldowah

Hanan Aldowah is a scholar working on Computer Science Applications, Information Systems and Management, Education, Communication and Health Information Management, having authored 16 papers that have together received 888 indexed citations. Recurring topics across this work include Online and Blended Learning (10 papers), Online Learning and Analytics (6 papers), Technology Adoption and User Behaviour (4 papers), Knowledge Management and Sharing (2 papers), Sentiment Analysis and Opinion Mining (2 papers), IoT and Edge/Fog Computing (1 paper), Innovative Teaching and Learning Methods (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Computer Science Applications (447 citations), Education (324 citations), Information Systems and Management (75 citations), Information Systems (237 citations) and Health Information Management (38 citations). Hanan Aldowah has collaborated with scholars based in Malaysia, Yemen and United Kingdom. Frequent co-authors include Hosam Al‐Samarraie, Samar Ghazal, Irfan Naufal Umar, Nasser Alalwan, Ahmed Ibrahim Alzahrani, Shafiq Ul Rehman, Reem Sulaiman Baragash, Balakrishnan Muniandy, Brandford Bervell and Fuad Noman. Their work appears in journals such as Indian Journal of Science and Technology, IEEE Access, Journal of Computing in Higher Education, Telematics and Informatics and Journal of Computers in Education.

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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