Gina Svarovsky

722 citations
29 papers · 415 indexed · h-index 10
Topics
Early Childhood Education and Development (7 papers)Diverse Educational Innovations Studies (7 papers)Teaching and Learning Programming (6 papers)
Journals
SHILAP Revista de lepidopterologíaEducational ResearcherJournal of Research in Science Teaching

In The Last Decade

Gina Svarovsky

23 papers receiving 369 citations

Peers

Gina Svarovsky
Comparison fields: 5 of 68
  • Developmental and Educational Psychology 198
  • Education 185
  • Computer Science Applications 124
  • Media Technology 54
  • Safety Research 39
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Citations per field
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Citations per year

Countries citing papers authored by Gina Svarovsky

Since Specialization
Citations

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

Fields of papers citing papers by Gina Svarovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Svarovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Gina Svarovsky. A scholar is included among the top collaborators of Gina Svarovsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gina Svarovsky. Gina Svarovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 0
4 0
5 0
6 0
7 3
8 1
9 3
10 5
11 2
12 1
13 2
14
Berta's tower: developing conceptual physics understanding one exploratoid at a time
1
15
Engineering girls gone wild: developing an engineering identity in digital zoo
11
16 3
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18 31
19 30
20
Berta's tower: understanding physics through virtual engineering
1

About Gina Svarovsky

Gina Svarovsky is a scholar working on Architecture, Computer Science Applications and General Agricultural and Biological Sciences, having authored 29 papers that have together received 415 indexed citations. Recurring topics across this work include Early Childhood Education and Development (7 papers), Diverse Educational Innovations Studies (7 papers) and Teaching and Learning Programming (6 papers). The work is most often cited by research in Computer Science Applications (124 citations), Architecture (32 citations) and Developmental and Educational Psychology (198 citations). Gina Svarovsky has collaborated with scholars based in United States, Chile and Australia. Frequent co-authors include David Williamson Shaffer, Kenneth A. Frank, André Rupp, Elizabeth Bagley, Padraig Nash, Robert J. Mislevy, David Hatfield, David W. Shaffer, Monica Cardella and Scott Pattison. Their work appears in journals such as SHILAP Revista de lepidopterología, Educational Researcher and Journal of Research in Science Teaching.

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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