Roxana Hadad

852 citations
15 papers · 599 · 1 hit paper · h-index 6

Impact in

Papers in

Roxana Hadad

13 papers receiving 583 citations

Roxana Hadad's Hit Papers

Assessing computational thinking: A systematic review of empirical studies 2020 · 418 citations
4180+2+4Years since publication100200300400

Peers

Roxana Hadad
Comparison fields: 5 of 48
  • Computer Science Applications 530
  • Developmental and Educational Psychology 270
  • Software 44
  • Media Technology 42
  • Information Systems 84
Replace Qiao Lin with:
Qiao Lin United States
Kathryn M. Rich United States
Yizhou Qian China
Veronica Cateté United States
Benjamin Xie United States
Kyu Han Koh United States
Ashok Basawapatna United States
Yihuan Dong United States
Mark Stehlik United States
Jane Waite United Kingdom
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Roxana Hadad

Since Specialization
Citations

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

Fields of papers citing papers by Roxana Hadad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Roxana Hadad, 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 Roxana Hadad Line = papers co-authored together Roxana Hadad links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Assessing computational thinking: A systematic review of empirical studies
Hit paper breakdown →
2020418
2 201964
3 202059
4 201927
5 202210
6 20215
7 20204
8
Making Computational Thinking Evident: A Validation Study of a Computational Thinking Test.
20183
9 20203
10 20212
11 20241
12 20211
13 20241
14 20221
15 20230

About Roxana Hadad

Roxana Hadad is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems and Management, Media Technology and Safety Research, having authored 15 papers that have together received 599 indexed citations. Recurring topics across this work include Teaching and Learning Programming (12 papers), Online Learning and Analytics (4 papers), Innovative Teaching and Learning Methods (4 papers), Educational Assessment and Improvement (4 papers), Experimental Learning in Engineering (3 papers), Educational Games and Gamification (2 papers), Educational Research and Pedagogy (1 paper) and Career Development and Diversity (1 paper). The work is most often cited by research in Computer Science Applications (530 citations), Developmental and Educational Psychology (270 citations), Software (44 citations), Media Technology (42 citations) and Information Systems (84 citations). Roxana Hadad has collaborated with scholars based in United States. Frequent co-authors include Yue Yin, Qiao Lin, Xiaodan Tang, Xiaoming Zhaı, Jean J. Ryoo, Adriana Ruiz Alvarado and Jane Margolis. Their work appears in journals such as Journal of Science Education and Technology, Computers & Education, Educational Technology Research and Development, Computer Science Education and Journal of Research on Technology 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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