Roxana Hadad

882 citations
20 papers · 681 · 1 hit paper · h-index 6

Impact in

Papers in

Roxana Hadad

18 papers receiving 663 citations

Roxana Hadad's Hit Papers

Assessing computational thinking: A systematic review of empirical studies 2020 · 466 citations
4660+2+4Years since publication100200300400

Peers

Roxana Hadad
Comparison fields: 5 of 51
  • Computer Science Applications 596
  • Developmental and Educational Psychology 292
  • Software 48
  • Media Technology 54
  • Information Systems 90
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Qiao Lin United States
Kathryn M. Rich United States
Veronica Cateté United States
Yizhou Qian China
Benjamin Xie United States
Teemu Sirkiä Finland
Juha Helminen Finland
Cynthia Selby United Kingdom
Kyu Han Koh United States
Ashok Basawapatna United States
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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 9 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

20 of 20 papers shown
#Work
1
Assessing computational thinking: A systematic review of empirical studies
Hit paper breakdown →
2020466
2 201969
3 202065
4 201928
5 201413
6 202212
7 20215
8 20204
9
Making Computational Thinking Evident: A Validation Study of a Computational Thinking Test.
20183
10 20203
11 20213
12 20132
13 20222
14 20231
15 20241
16 20221
17 20241
18 20211
19 20241
20 20250

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 20 papers that have together received 681 indexed citations. Recurring topics across this work include Teaching and Learning Programming (16 papers), Educational Assessment and Improvement (5 papers), Innovative Teaching and Learning Methods (5 papers), Educational Games and Gamification (4 papers), Online Learning and Analytics (4 papers), Experimental Learning in Engineering (3 papers), Gender and Technology in Education (2 papers) and Youth Development and Social Support (1 paper). The work is most often cited by research in Computer Science Applications (596 citations), Developmental and Educational Psychology (292 citations), Software (48 citations), Media Technology (54 citations) and Information Systems (90 citations). Roxana Hadad has collaborated with scholars based in United States. Frequent co-authors include Yue Yin, Qiao Lin, Xiaodan Tang, Xiaoming Zhaı, Kimberly A. Lawless, Jean J. Ryoo, Adriana Ruiz Alvarado, Jane Margolis and Heather F. Clark. Their work appears in journals such as Journal of Science Education and Technology, Computers & Education, Computer Science Education, Journal of Research on Technology in Education and Educational Technology Research and Development.

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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