Daniela Marghitu

35 papers receiving 190 citations

Peers

Daniela Marghitu
Comparison fields: 5 of 44
  • Computer Science Applications 134
  • Developmental and Educational Psychology 57
  • Gender Studies 41
  • Software 16
  • Media Technology 25
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Countries citing papers authored by Daniela Marghitu

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Marghitu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Marghitu, 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 Daniela Marghitu Line = papers co-authored together Daniela Marghitu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201346
2 201742
3 201326
4 202510
5 201210
6
Teaching computer science concepts in Scratch and Alice
20107
7 20217
8
Integrating a Real Life Engineering Case Study into the Syllabus of an Undergraduate Network Programming using HTML and Java course
20055
9 20134
10 20194
11
A Survey on Robotic Educational Platforms for K-12
20123
12 20243
13 20133
14
Educational and Technological Computer Literacy Program for Typical and Special Needs Children: An Auburn University Case Study
20063
15 20163
16 20242
17 20212
18
Improving the educational process by using IT solutions: Emphasizing pedagogy and technology.
20012
19 20252
20 20052

About Daniela Marghitu

Daniela Marghitu is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Human Factors and Ergonomics and Education, having authored 39 papers that have together received 206 indexed citations. Recurring topics across this work include Teaching and Learning Programming (16 papers), Educational Games and Gamification (5 papers), Digital Accessibility for Disabilities (5 papers), Gender and Technology in Education (5 papers), Experimental Learning in Engineering (4 papers), Career Development and Diversity (3 papers), Tactile and Sensory Interactions (3 papers) and Child Development and Digital Technology (3 papers). The work is most often cited by research in Computer Science Applications (134 citations), Developmental and Educational Psychology (57 citations), Gender Studies (41 citations), Software (16 citations) and Media Technology (25 citations). Daniela Marghitu has collaborated with scholars based in United States, New Zealand and Romania. Frequent co-authors include Carey E. Andrzejewski, Jung Won Hur, Debra Bernstein, Lijun Ni, David S. Touretzky, Stephanie Ludi, Tim Bell, Fatemeh Jamshidi, Lynn Lambert and Larry J. Reynolds. Their work appears in journals such as IEEE Access, Journal of Women and Minorities in Science and Engineering, Computer Science Education, International Journal of Advanced Robotic Systems and Universal Access in the Information Society.

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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