Janet Tassell

575 citations
27 papers · 359 indexed · h-index 8
Topics
Cognitive and developmental aspects of mathematical skills (9 papers)Education and Technology Integration (7 papers)Mathematics Education and Teaching Techniques (7 papers)
Partner nations
United States

In The Last Decade

Janet Tassell

22 papers receiving 330 citations

Peers

Janet Tassell
Comparison fields: 5 of 45
  • Education 271
  • Statistics and Probability 104
  • Experimental and Cognitive Psychology 69
  • Developmental and Educational Psychology 66
  • Applied Mathematics 56
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Janet Tassell

Since Specialization
Citations

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

Fields of papers citing papers by Janet Tassell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Tassell

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Tassell. A scholar is included among the top collaborators of Janet Tassell 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 Janet Tassell. Janet Tassell 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
#WorkIndexed citations
1 2
2 2
3 2
4 2
5 29
6 76
7 37
8 5
9 10
10 2
11 131
12
EXPLORE Performance in Mathematics and Science: Why are Middle School Students Unprepared for Success in Mathematics and Science?
3
13
The Stages of Early Arithmetic Learning: A Context for Learning to Professionally Notice
1
14
Analyzing HEAT of Lesson Plans in Pre-Service and Advanced Teacher Education
0
15
Enhancing the Cognitive Complexity in Social Studies Assessments.
3
16
Developing a HEAT Framework for Assessing and Improving Instruction
1
17
Student Teacher Use of Technology: A State and National Comparison
1
18 25
19
Student Teacher Use of Technology to Facilitate Teaching and Learning
3
20 7

About Janet Tassell

Janet Tassell is a scholar working on Statistics and Probability, Education and Experimental and Cognitive Psychology, having authored 27 papers that have together received 359 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (9 papers), Education and Technology Integration (7 papers) and Mathematics Education and Teaching Techniques (7 papers). The work is most often cited by research in Statistics and Probability (104 citations), Education (271 citations) and Applied Mathematics (56 citations). Janet Tassell has collaborated with scholars based in United States. Frequent co-authors include Elena Novak, Molly H. Fisher, Edna O. Schack, Jonathan Thomas, Cindy Jong, Peter Kloosterman, Michael McDonald, Heather Johnson, Chia‐Ling Kuo and Grace Morris. Their work appears in journals such as Computers in Human Behavior, British Journal of Educational Technology and Learning and Individual Differences.

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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