Estrella Johnson

894 citations
29 papers · 571 · h-index 15

Impact in

Papers in

    • Evaluation of Teaching Practices 15
    • Mathematics Education and Teaching Techniques 13
    • Innovations in Educational Methods 7
    • Innovative Teaching Methods 7
    • Education and Technology Integration 6
    • Statistics Education and Methodologies 4

Estrella Johnson

27 papers receiving 534 citations

Peers

Estrella Johnson
Comparison fields: 5 of 55
  • Education 497
  • Developmental and Educational Psychology 157
  • Statistics and Probability 95
  • Theoretical Computer Science 11
  • Modeling and Simulation 44
Replace Megan Wawro with:
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Citations per field
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Citations per year

Countries citing papers authored by Estrella Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Estrella Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Estrella Johnson, 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 Estrella Johnson Line = papers co-authored together Estrella Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 201149
3 201844
4 202242
5 201742
6 201341
7 202036
8 202232
9 201727
10 201323
11 201622
12 201319
13 202417
14 201716
15 201914
16 202212
17 201311
18 20198
19 20198
20 20246

About Estrella Johnson

Estrella Johnson is a scholar working on Education, Statistics and Probability, Media Technology, Developmental and Educational Psychology and Modeling and Simulation, having authored 29 papers that have together received 571 indexed citations. Recurring topics across this work include Evaluation of Teaching Practices (15 papers), Mathematics Education and Teaching Techniques (13 papers), Innovations in Educational Methods (7 papers), Innovative Teaching Methods (7 papers), Education and Technology Integration (6 papers), Experimental Learning in Engineering (5 papers), Innovative Teaching and Learning Methods (5 papers) and Statistics Education and Methodologies (4 papers). The work is most often cited by research in Education (497 citations), Developmental and Educational Psychology (157 citations), Statistics and Probability (95 citations), Theoretical Computer Science (11 citations) and Modeling and Simulation (44 citations). Estrella Johnson has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include Sean Larsen, Naneh Apkarian, Christine Larson, Marilyne Stains, Melissa Dancy, Jeffrey R. Raker, Charles Henderson, Timothy Fukawa-Connelly, Chris Rasmussen and David M. Bressoud. Their work appears in journals such as The Journal of Mathematical Behavior, International Journal of STEM Education, Journal for Research in Mathematics Education, International Journal of Research in Undergraduate Mathematics Education and Journal of Mathematics Teacher 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.

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