Countries citing papers authored by Manjula D. Sharma
Since
Specialization
Citations
This map shows the geographic impact of Manjula D. Sharma'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 Manjula D. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manjula D. Sharma more than expected).
Fields of papers citing papers by Manjula D. Sharma
This network shows the impact of papers produced by Manjula D. Sharma. 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 Manjula D. Sharma. The network helps show where Manjula D. Sharma may publish in the future.
Co-authorship network of co-authors of Manjula D. Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Manjula D. Sharma.
A scholar is included among the top collaborators of Manjula D. Sharma 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 Manjula D. Sharma. Manjula D. Sharma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hill, M. J., Manjula D. Sharma, & Yingying Xu. (2017). Pre-lecture online learning modules in university physics: Student participation, perceptions, and performance. International Journal of Innovation in Science and Mathematics Education. 25(1).5 indexed citations
3.
Sharma, Manjula D., et al.. (2015). Integrating Assessment to Promote Engagement in an Introductory Chemistry Laboratory. International Journal of Innovation in Science and Mathematics Education. 23(2). 74–91.2 indexed citations
4.
Hill, M. J., et al.. (2014). Developing and Evaluating a Survey for Representational Fluency in Science. International Journal of Innovation in Science and Mathematics Education. 22(5). 22–42.12 indexed citations
5.
Hill, M. J., Manjula D. Sharma, & H. M. Johnston. (2013). Developing representational skills through weekly online learning modules for first-year undergraduate physics students. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).1 indexed citations
6.
Sharma, Manjula D., et al.. (2013). Implementing WebQuest Based Instruction on Newton's Second Law.. Teaching science (Deakin West, A.C.T. : Online)/Teaching science. 59(2). 11–19.6 indexed citations
7.
Sharma, Manjula D., et al.. (2012). Sustaining teaching development through research: The lead up to a National Teaching Development Grant. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference). 7.2 indexed citations
8.
Peseta, Tai, et al.. (2012). Evaluation of a research based teaching development in first year physics. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference). 8.1 indexed citations
9.
Sharma, Manjula D., et al.. (2012). Student performance in first-year physics: does high school matter?. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).
10.
Kirkup, Les, et al.. (2012). Teaching physics to non-physics majors: models extant in Australian universities. UTS ePRESS (University of Technology Sydney).2 indexed citations
11.
Chitaree, Ratchapak, et al.. (2012). Developing a prototype conceptual survey in fundamental quantum physics. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).
12.
Bewes, James & Manjula D. Sharma. (2012). A preliminary study on how accuracy relates to student self reports of confidence on a conceptual physics test. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).1 indexed citations
13.
Georgiou, Helen, et al.. (2012). University students' conceptions about familiar thermodynamic processes and the implications for instruction. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).3 indexed citations
14.
Chitaree, Ratchapak, et al.. (2012). Surveying Thai and Sydney introductory physics students’ understandings of heat and temperature. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).6 indexed citations
15.
Sharma, Manjula D., et al.. (2012). Students’ conceptual knowledge of mechanical waves across different backgrounds and cultures. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).4 indexed citations
16.
Sharma, Manjula D., et al.. (2011). Self-Efficacy of First Year University Physics Students: Do Gender and Prior Formal Instruction in Physics Matter?. International Journal of Innovation in Science and Mathematics Education. 19(2).43 indexed citations
17.
Sharma, Manjula D., et al.. (2010). Development of a Physics Goal Orientation Survey. International Journal of Innovation in Science and Mathematics Education. 18(2).4 indexed citations
18.
Georgiou, Helen & Manjula D. Sharma. (2010). A report on a preliminary diagnostic for identifying thermal physics conceptions of tertiary students. International Journal of Innovation in Science and Mathematics Education. 18(2). 32.7 indexed citations
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.