Saurabh Khanna
- Education top 10%
- Developmental and Educational Psychology
- Information Systems
- Computer Science Applications top 10%
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Rebecca D. SilvermanJohn WillinskyJuan Pablo AlperínTara BéteilleIgor ChirikovFei GuoLiping MaLin Gu
- Topics
- Higher Education Research Studies (2 papers)Higher Education Governance and Development (2 papers)Social Media and Politics (1 paper)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyStatistics, Probability and Uncertainty
- Journals
- Proceedings of the National Academy of SciencesReview of Educational ResearchEducational Researcher
- Partner nations
- United StatesRussiaChina
In The Last Decade
Saurabh Khanna
11 papers receiving 201 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Education 78
- Developmental and Educational Psychology 59
- Information Systems 34
- Computer Science Applications 27
- Statistics, Probability and Uncertainty 26
Countries citing papers authored by Saurabh Khanna
This map shows the geographic impact of Saurabh Khanna'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 Saurabh Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Khanna more than expected).
Fields of papers citing papers by Saurabh Khanna
This network shows the impact of papers produced by Saurabh Khanna. 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 Saurabh Khanna. The network helps show where Saurabh Khanna may publish in the future.
Co-authorship network of co-authors of Saurabh Khanna
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Khanna. A scholar is included among the top collaborators of Saurabh Khanna 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 Saurabh Khanna. Saurabh Khanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 45 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | Skill levels and gains in university STEM education in China, India, Russia and the United Statesbreakdown → | 73 |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 44 | |
| 11 | 25 | |
| 12 | 2 | |
| 13 | 1 |
About Saurabh Khanna
Saurabh Khanna is a scholar working on Computer Science Applications, Education and Modeling and Simulation, having authored 13 papers that have together received 222 indexed citations. Recurring topics across this work include Higher Education Research Studies (2 papers), Higher Education Governance and Development (2 papers) and Social Media and Politics (1 paper). The work is most often cited by research in Computer Science Applications (27 citations), Developmental and Educational Psychology (59 citations) and Statistics, Probability and Uncertainty (26 citations). Saurabh Khanna has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Rebecca D. Silverman, John Willinsky, Juan Pablo Alperín, Tara Béteille, Igor Chirikov, Fei Guo, Liping Ma, Lin Gu, Ou Lydia Liu and Daniel A. McFarland. Their work appears in journals such as Proceedings of the National Academy of Sciences, Review of Educational Research and Educational Researcher.
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.