Amy J. Hackenberg

963 citations
28 papers · 618 · h-index 12

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 19
    • Teacher Education and Leadership Studies 3
    • Education and Technology Integration 3
    • Cognitive and developmental aspects of mathematical skills 16
    • Statistics Education and Methodologies 5

Amy J. Hackenberg

24 papers receiving 561 citations

Peers

Amy J. Hackenberg
Comparison fields: 5 of 40
  • Statistics and Probability 429
  • Theoretical Computer Science 29
  • Education 560
  • Applied Mathematics 119
  • Developmental and Educational Psychology 102
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Countries citing papers authored by Amy J. Hackenberg

Since Specialization
Citations

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

Fields of papers citing papers by Amy J. Hackenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy J. Hackenberg. 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 Amy J. Hackenberg. The network helps show where Amy J. Hackenberg may publish in the future.

Co-authors

The 9 scholars most cited alongside Amy J. Hackenberg, 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 Amy J. Hackenberg Line = papers co-authored together Amy J. Hackenberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010112
2 200788
3 200987
4 201585
5 201360
6 201041
7 202023
8 201321
9 201421
10 200617
11 201613
12 201712
13 202010
14 20215
15 20105
16
School-Based Community of Teachers and Outcomes for Students.
20044
17 20022
18
Developing Systems of Notation as a Trace of Reasoning.
20112
19 20232
20 20212

About Amy J. Hackenberg

Amy J. Hackenberg is a scholar working on Education, Statistics and Probability, Developmental and Educational Psychology, Applied Mathematics and Theoretical Computer Science, having authored 28 papers that have together received 618 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (19 papers), Cognitive and developmental aspects of mathematical skills (16 papers), Statistics Education and Methodologies (5 papers), Innovative Teaching and Learning Methods (4 papers), Teacher Education and Leadership Studies (3 papers), History and Theory of Mathematics (3 papers), Education and Technology Integration (3 papers) and Mathematics Education and Pedagogy (3 papers). The work is most often cited by research in Statistics and Probability (429 citations), Theoretical Computer Science (29 citations), Education (560 citations), Applied Mathematics (119 citations) and Developmental and Educational Psychology (102 citations). Amy J. Hackenberg has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Mi Yeon Lee, Erik Tillema, Mark A. Creager, Catherine Ulrich, Anderson Norton, Paola Sztajn, Martha Allexsaht‐Snider, Nathalie Sinclair and Denise S. Mewborn. Their work appears in journals such as The Journal of Mathematical Behavior, Journal for Research in Mathematics Education, Constructivist Foundations, Educational Studies in Mathematics and Mathematics Education Research Journal.

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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