Mary Beisiegel

580 citations
16 papers · 383 indexed · h-index 6

Mary Beisiegel

14 papers receiving 351 citations

Peers

Mary Beisiegel
Comparison fields: 5 of 70
  • Education 304
  • Information Systems and Management 58
  • Developmental and Educational Psychology 73
  • Statistics and Probability 30
  • Human Factors and Ergonomics 8
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Ruth M. Heaton United States
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Citations per year

Countries citing papers authored by Mary Beisiegel

Since Specialization
Citations

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

Fields of papers citing papers by Mary Beisiegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Mary Beisiegel, 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 Mary Beisiegel Line = papers co-authored together Mary Beisiegel links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20260
2 20202
3 20202
4 20201
5
Examining Obstacles to Mathematics Graduate Students Development as Teachers.
20191
6
Teacher interrupted: How mathematics graduate teaching assistants (don’t) learn about teaching
20191
7 201768
8
Challenging Transitions and Crossing Borders: Preparing Novice Mathematics Teacher Educators to Support Novice K-12 Mathematics Teachers
20165
9
The Status of Capstone Courses for Pre-Service Secondary Mathematics Teachers
20134
10 2013225
11 20130
12
Formation of Mathematics Graduate Students' Mathematician-as-Teacher.
20122
13 201237
14 20095
15 20083
16 200627

About Mary Beisiegel

Mary Beisiegel is a scholar working on Theoretical Computer Science, Statistics and Probability, Education, Information Systems and Management and Modeling and Simulation, having authored 16 papers that have together received 383 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (8 papers), Teacher Education and Leadership Studies (6 papers), Collaborative Teaching and Inclusion (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers), Statistics Education and Methodologies (2 papers), Educational Assessment and Improvement (2 papers), Student Assessment and Feedback (2 papers) and Educational Research and Pedagogy (1 paper). The work is most often cited by research in Education (304 citations), Information Systems and Management (58 citations), Developmental and Educational Psychology (73 citations), Statistics and Probability (30 citations) and Human Factors and Ergonomics (8 citations). Mary Beisiegel has collaborated with scholars based in United States, Canada and Cyprus. Frequent co-authors include Heather C. Hill, Robin Jacob, Christina Haines, Yongge Tian, Matthew A. Kraft, Charalambos Y. Charalambous, Erica Litke, David Blazar, Kathleen Lynch and Elaine Simmt. Their work appears in journals such as Journal of Teacher Education, International Journal of Research in Undergraduate Mathematics Education, Educational Researcher, Statistical Papers 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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