Gail Burrill

32 papers receiving 205 citations

Peers

Gail Burrill
Comparison fields: 5 of 45
  • Education 175
  • Statistics and Probability 159
  • Artificial Intelligence 23
  • Information Systems and Management 15
  • Developmental and Educational Psychology 15
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Countries citing papers authored by Gail Burrill

Since Specialization
Citations

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

Fields of papers citing papers by Gail Burrill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Burrill

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Burrill. A scholar is included among the top collaborators of Gail Burrill 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 Gail Burrill. Gail Burrill 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 5
2 10
3 3
4 0
5 7
6 1
7
USING DATA TO MAKE SENSE OF STATISTICS: THE ROLE OF TECHNOLOGY IN SCAFFOLDING UNDERSTANDING
0
8
Fitting in and Learning to Teach: Tensions in Developing a Vision for a University-Based Induction Program for Beginning Teachers.
26
9
Thinking and reasoning with data and chance : sixty-eighth yearbook
18
10
Thinking and Reasoning with Data and Chance
21
11
Contemporary Mathematics in Context: A Unified Approach, Course 1, Part A, Student Edition
2
12
SIMULATION AS A TOOL TO DEVELOP STATISTICAL UNDERSTANDING
8
13
Improving Mathematics Education: Resources for Decision Making.
4
14
Changes in Your Classroom: From the Past to the Present to the Future.
2
15
A "Snapshot" of Our Country's Mathematics Education.
2
16 11
17
Research on the role of technology in teaching and learning statistics
68
18 1
19 0
20
Data Analysis and Statistics Across the Curriculum
4

About Gail Burrill

Gail Burrill is a scholar working on Statistics and Probability, Education and General Agricultural and Biological Sciences, having authored 38 papers that have together received 260 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (17 papers), Mathematics Education and Teaching Techniques (5 papers) and Science Education and Pedagogy (3 papers). The work is most often cited by research in Statistics and Probability (159 citations), Education (175 citations) and Information Systems and Management (15 citations). Gail Burrill has collaborated with scholars based in United States, Denmark and Philippines. Frequent co-authors include Joan Garfield, Portia C. Elliott, Randi Nevins Stanulis, Hyman Bass, Zalman Usiskin, Maxine Pfannkuch, Joan Ferrini‐Mundy, William H. Schmidt, Dani Ben‐Zvi and Richard L. Scheaffer. Their work appears in journals such as Journal for Research in Mathematics Education, ZDM and School Science and Mathematics.

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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