Kalyani Raghavan
- Education top 2%
- Developmental and Educational Psychology top 2%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Computer Science Applications top 5%
- Co-authors
- Leona SchaubleRobert GlaserLeopold E. KlopferMiriam ReinerValerie J. ShuteCorinne Zimmerman
- Topics
- Science Education and Pedagogy (7 papers)Innovative Teaching and Learning Methods (6 papers)Visual and Cognitive Learning Processes (4 papers)
- Journals
- Journal of Research in Science TeachingScience EducationInternational Journal of Science Education
- Partner nations
- United States
In The Last Decade
Kalyani Raghavan
12 papers receiving 567 citations
Peers
Comparison fields: 5 of 62
- Education 528
- Developmental and Educational Psychology 425
- Experimental and Cognitive Psychology 108
- Artificial Intelligence 87
- Computer Science Applications 64
Countries citing papers authored by Kalyani Raghavan
This map shows the geographic impact of Kalyani Raghavan'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 Kalyani Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalyani Raghavan more than expected).
Fields of papers citing papers by Kalyani Raghavan
This network shows the impact of papers produced by Kalyani Raghavan. 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 Kalyani Raghavan. The network helps show where Kalyani Raghavan may publish in the future.
Co-authorship network of co-authors of Kalyani Raghavan
This figure shows the co-authorship network connecting the top 25 collaborators of Kalyani Raghavan. A scholar is included among the top collaborators of Kalyani Raghavan 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 Kalyani Raghavan. Kalyani Raghavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 19 | |
| 3 | 36 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | The impact of model-centered instruction on student learning: the area and volume units | 8 |
| 7 | 108 | |
| 8 | 22 | |
| 9 | 113 | |
| 10 | 288 | |
| 11 | Smithtown: An Intelligent Tutoring System | 7 |
| 12 | Inference and Discovery in an Exploratory Laboratory. | 59 |
About Kalyani Raghavan
Kalyani Raghavan is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education, having authored 12 papers that have together received 700 indexed citations. Recurring topics across this work include Science Education and Pedagogy (7 papers), Innovative Teaching and Learning Methods (6 papers) and Visual and Cognitive Learning Processes (4 papers). The work is most often cited by research in Developmental and Educational Psychology (425 citations), Education (528 citations) and Computer Science Applications (64 citations). Kalyani Raghavan has collaborated with scholars based in United States. Frequent co-authors include Leona Schauble, Robert Glaser, Leopold E. Klopfer, Miriam Reiner, Valerie J. Shute and Corinne Zimmerman. Their work appears in journals such as Journal of Research in Science Teaching, Science Education and International Journal of Science 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.