Aditi Wagh

403 citations
23 papers · 225 indexed · h-index 9

Aditi Wagh

20 papers receiving 213 citations

Peers

Aditi Wagh
Comparison fields: 5 of 54
  • Computer Science Applications 131
  • Developmental and Educational Psychology 114
  • Education 86
  • Architecture 4
  • Media Technology 23
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Citations per field
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Citations per year

Countries citing papers authored by Aditi Wagh

Since Specialization
Citations

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

Fields of papers citing papers by Aditi Wagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Aditi Wagh, 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 Aditi Wagh Line = papers co-authored together Aditi Wagh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20227
4 20229
5 20220
6 20224
7 202116
8
Exploring the Unknown: Supporting Students' Navigation of Scientific Uncertainty With Coupled Methodologies.
20182
9 201718
10 201711
11
Anchor code: Modularity as evidence for conceptual learning and computational practices of students using a code-first environment
20175
12
Building v/s Exploring Models: Comparing Learning of Evolutionary Processes through Agent-based Modeling
20163
13 201613
14 20168
15 201538
16
Getting your Drift: Activity Designs for Grappling with Evolution.
20141
17 201425
18
Leveling the Playing Field: Making Multi-level Evolutionary Processes Accessible through Participatory Simulations.
20133
19
Breeding Birds to Learn about Artificial Selection: Two Birds with One Stone?
20123
20
Research Methods in Social Science
20098

About Aditi Wagh

Aditi Wagh is a scholar working on Computer Science Applications, Developmental and Educational Psychology and History and Philosophy of Science, having authored 23 papers that have together received 225 indexed citations. Recurring topics across this work include Teaching and Learning Programming (12 papers), Innovative Teaching and Learning Methods (7 papers), Science Education and Pedagogy (4 papers), Educational Games and Gamification (3 papers), Evolutionary Algorithms and Applications (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Experimental Learning in Engineering (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Computer Science Applications (131 citations), Developmental and Educational Psychology (114 citations) and Education (86 citations). Aditi Wagh has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Uri Wilensky, Michelle Hoda Wilkerson, Eli Tucker‐Raymond, Brian Gravel, Corey Brady, Michael Horn, Arthur Hjorth, Sharona T. Levy, Yu Guo and Julia Gouvea. Their work appears in journals such as Science Education, Journal of Science Education and Technology, Journal of Research in Science Teaching, International Journal of STEM Education and Journal of Adolescent & Adult Literacy.

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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