Susanna S. Epp

474 citations
11 papers · 228 · h-index 6

Impact in

Papers in

Susanna S. Epp

10 papers receiving 192 citations

Peers

Susanna S. Epp
Comparison fields: 5 of 35
  • Theoretical Computer Science 38
  • Statistics and Probability 90
  • Education 182
  • Computer Science Applications 23
  • Modeling and Simulation 14
Replace David M. Mathews with:
David M. Mathews United States
Joel Hillel Canada
Mark Asiala United States
Nitsa Movshovitz‐Hadar Israel
Dov Zazkis United States
Theodossios Zachariades Greece
Viviane Durand-Guerrier France
Joanna Mαμονα-Dοwns Greece
Paul Christian Dawkins United States
Selahattin Arslan Türkiye
Susanna S. Epp relative to David M. Mathews United States David M. Mathews's profile →
Citations per field
00.5×
David M. Mathews · 1×
Citations per year

Countries citing papers authored by Susanna S. Epp

Since Specialization
Citations

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

Fields of papers citing papers by Susanna S. Epp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susanna S. Epp. 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 Susanna S. Epp. The network helps show where Susanna S. Epp may publish in the future.

Co-authors

The 3 scholars most cited alongside Susanna S. Epp, 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 Susanna S. Epp Line = papers co-authored together Susanna S. Epp links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200382
2
Undergraduate Programs and Courses in the Mathematical Sciences: Cupm Curriculum Guide 2004
200468
3 200339
4 199818
5 20037
6
The Language of Quantification in Mathematics Instruction
19996
7
Discrete mathematics : an introduction to mathematical reasoning
20112
8 19732
9 20032
10 19761
11 19751

About Susanna S. Epp

Susanna S. Epp is a scholar working on Education, Geometry and Topology, Algebra and Number Theory, Theoretical Computer Science and Computer Science Applications, having authored 11 papers that have together received 228 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (3 papers), Rings, Modules, and Algebras (2 papers), History and Theory of Mathematics (2 papers), Advanced Topics in Algebra (2 papers), Teaching and Learning Programming (2 papers), Statistics Education and Methodologies (1 paper), Mathematics Education and Programs (1 paper) and Advanced Algebra and Logic (1 paper). The work is most often cited by research in Theoretical Computer Science (38 citations), Statistics and Probability (90 citations), Education (182 citations), Computer Science Applications (23 citations) and Modeling and Simulation (14 citations). Susanna S. Epp has collaborated with scholars based in United States. Frequent co-authors include David M. Bressoud, Peter Henderson and Judith Kegan Gardiner. Their work appears in journals such as Journal of Algebra, Comparative drama, American Mathematical Monthly, ACM SIGCSE Bulletin and Mathematics Teacher Learning and Teaching PK-12.

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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