Suparna Sinha

1.6k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Suparna Sinha is a scholar working on Education, Developmental and Educational Psychology and Plant Science. According to data from OpenAlex, Suparna Sinha has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 10 papers in Developmental and Educational Psychology and 8 papers in Plant Science. Recurrent topics in Suparna Sinha's work include Innovative Teaching and Learning Methods (9 papers), Science Education and Pedagogy (7 papers) and Complex Systems and Decision Making (4 papers). Suparna Sinha is often cited by papers focused on Innovative Teaching and Learning Methods (9 papers), Science Education and Pedagogy (7 papers) and Complex Systems and Decision Making (4 papers). Suparna Sinha collaborates with scholars based in United States, India and Netherlands. Suparna Sinha's co-authors include David J. Shernoff, Denise M. Bressler, Cindy E. Hmelo‐Silver, Lynda Ginsburg, Rebecca Jordan, Toni Kempler Rogat, Karlyn R. Adams-Wiggins, Catherine Eberbach, Erik Ruzek and Stephen M. Tonks and has published in prestigious journals such as Frontiers in Psychology, Journal of Environmental Psychology and Learning and Instruction.

In The Last Decade

Suparna Sinha

24 papers receiving 982 citations

Hit Papers

Assessing teacher education and professional development ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suparna Sinha United States 10 692 377 127 119 93 27 1.0k
Elwin Savelsbergh Netherlands 12 565 0.8× 492 1.3× 121 1.0× 133 1.1× 76 0.8× 29 919
Joe Krajcik United States 9 779 1.1× 518 1.4× 94 0.7× 97 0.8× 58 0.6× 17 976
Barbara Hug United States 11 853 1.2× 567 1.5× 126 1.0× 111 0.9× 58 0.6× 26 1.1k
Yael Shwartz Israel 10 1.1k 1.6× 636 1.7× 106 0.8× 107 0.9× 61 0.7× 18 1.3k
Lisa Kenyon United States 10 1.2k 1.7× 804 2.1× 127 1.0× 126 1.1× 54 0.6× 17 1.4k
Andrés Acher Germany 5 764 1.1× 502 1.3× 106 0.8× 94 0.8× 43 0.5× 8 944
Alicia C. Alonzo United States 17 919 1.3× 442 1.2× 72 0.6× 59 0.5× 48 0.5× 34 1.1k
Barbara C. Buckley United States 11 547 0.8× 455 1.2× 58 0.5× 146 1.2× 62 0.7× 17 814
Douglas Huffman United States 17 676 1.0× 269 0.7× 53 0.4× 60 0.5× 69 0.7× 45 980
Marilyne Stains United States 23 1.4k 2.0× 448 1.2× 100 0.8× 80 0.7× 41 0.4× 62 1.6k

Countries citing papers authored by Suparna Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Suparna Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suparna Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Suparna Sinha. A scholar is included among the top collaborators of Suparna Sinha 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 Suparna Sinha. Suparna Sinha 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
1.
Sinha, Suparna, et al.. (2020). Estimation of gene effects for yield attributing traits in mungbean (Vigna radiata) and urdbean (Vigna mungo) for intra and interspecific crosses. Electronic Journal of Plant Breeding. 11(1). 81–85. 2 indexed citations
2.
Sinha, Suparna, et al.. (2020). Genetic analysis of exotic germplasms of pomegranate (Punica granatum L.). Bangladesh Journal of Botany. 49(1). 105–112. 1 indexed citations
3.
Kumari, Jyoti, et al.. (2018). Impact of chemicals on fruit set and yield contributing characteristics of mango (Mangifera indica L.) cv. Langra. Journal of Pharmacognosy and Phytochemistry. 7(4). 1057–1059. 2 indexed citations
4.
Sinha, Suparna, et al.. (2018). Potentiality of protected cultivation in fruit crops: An overview. Journal of Pharmacognosy and Phytochemistry. 7(2). 3557–3560. 2 indexed citations
5.
Shernoff, David J., Suparna Sinha, Denise M. Bressler, & Lynda Ginsburg. (2017). Assessing teacher education and professional development needs for the implementation of integrated approaches to STEM education. International Journal of STEM Education. 4(1). 13–13. 311 indexed citations breakdown →
7.
Jaiswal, Uma, et al.. (2017). Elemental accumulation in mango (Mangifera indica L.) as a function of maturity stage and variety. Journal of Plant Nutrition. 40(13). 1805–1815. 8 indexed citations
8.
Jordan, Rebecca, et al.. (2017). Modeling with a Conceptual Representation: Is It Necessary? Does It Work?. Insecta mundi. 4. 7 indexed citations
9.
Hmelo‐Silver, Cindy E., Rebecca Jordan, Catherine Eberbach, & Suparna Sinha. (2016). Systems learning with a conceptual representation: a quasi-experimental study. Instructional Science. 45(1). 53–72. 90 indexed citations
10.
Shernoff, David J., et al.. (2016). Student engagement as a function of environmental complexity in high school classrooms. Learning and Instruction. 43. 52–60. 169 indexed citations
11.
Jordan, Rebecca, Wesley R. Brooks, Cindy E. Hmelo‐Silver, Catherine Eberbach, & Suparna Sinha. (2013). Balancing broad ideas with context: an evaluation of student accuracy in describing ecosystem processes after a system-level intervention. Journal of Biological Education. 48(2). 57–62. 33 indexed citations
12.
Sinha, Suparna, Steven Gray, Cindy E. Hmelo‐Silver, et al.. (2013). Conceptual representations for transfer: A case study tracing back and looking forward. Frontline Learning Research. 1(1). 11 indexed citations
13.
Eberbach, Catherine, Cindy E. Hmelo‐Silver, Rebecca Jordan, Suparna Sinha, & Ashok K. Goel. (2012). Multiple Trajectories for Understanding Ecosystems.. ICLS. 9 indexed citations
14.
Vattam, Swaroop, Ashok K. Goel, Spencer Rugaber, et al.. (2011). Understanding Complex Natural Systems by Articulating Structure-Behavior- Function Models. Educational Technology & Society. 14(1). 66–81. 84 indexed citations
15.
Hmelo‐Silver, Cindy E., Rebecca Jordan, Catherine Eberbach, et al.. (2010). Connecting the Visible to the Invisible: Helping Middle School Students Understand Complex Ecosystem Processes.. eScholarship (California Digital Library). 32(32). 5 indexed citations
16.
Sinha, Suparna, Steven Gray, Cindy E. Hmelo‐Silver, et al.. (2010). Appropriating conceptual representations: a case of transfer in a middle school science teacher. International Conference of Learning Sciences. 834–841. 5 indexed citations
17.
Goel, Ashok K., Swaroop Vattam, Spencer Rugaber, et al.. (2010). Learning Functional and Causal Abstractions of Classroom Aquaria. eScholarship (California Digital Library). 32(32). 2 indexed citations
19.
Gray, Steven, Cindy E. Hmelo‐Silver, Lei Liu, et al.. (2008). Learning with ecosystem models: a tale of two classrooms. International Conference of Learning Sciences. 289–296. 1 indexed citations
20.
Sinha, Suparna, et al.. (1970). Studies on spore germination of Uromyces ciceris-arietini, influence of leaf exudates of Gram.. Indian Phytopathology. 23(4). 644–649.

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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