Beverly Wood

457 citations
11 papers · 264 indexed · h-index 6
Topics
Online and Blended Learning (4 papers)Online Learning and Analytics (3 papers)Innovative Teaching and Learning Methods (2 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Science Education and TechnologyOnline Learning
Partner nations
United States

In The Last Decade

Beverly Wood

10 papers receiving 238 citations

Peers

Beverly Wood
Comparison fields: 5 of 66
  • Statistics and Probability 168
  • Education 114
  • Artificial Intelligence 33
  • Computer Science Applications 20
  • Information Systems 18
Replace Stijn Vanhoof with:
Stijn Vanhoof Belgium
Ana Elisa Castro Sotos Belgium
Elsa Medina United States
Timur Koparan Türkiye
Ellen Vandervieren Belgium
Jan Mokros India
Aimee J. Ellington United States
Danilo Díaz–Levicoy Chile
Sibel Kazak Türkiye
Jennifer J. Kaplan United States
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Citations per field
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Citations per year

Countries citing papers authored by Beverly Wood

Since Specialization
Citations

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

Fields of papers citing papers by Beverly Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beverly Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Beverly Wood. A scholar is included among the top collaborators of Beverly Wood 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 Beverly Wood. Beverly Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 3
2 0
3 11
4
An Investigation of the Relationship Between Grades and Learning Modes in an Introductory Research Methods Course
5
5 9
6 16
7 38
8
Seeing and Understanding Data
1
9
Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report 2016
179
10
GAISE Into the Future: Updating a Landmark Report for an Increasingly Data-Centric World
1
11 1

About Beverly Wood

Beverly Wood is a scholar working on Computer Science Applications, Statistics and Probability and Developmental and Educational Psychology, having authored 11 papers that have together received 264 indexed citations. Recurring topics across this work include Online and Blended Learning (4 papers), Online Learning and Analytics (3 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Statistics and Probability (168 citations), Education (114 citations) and Computer Science Applications (20 citations). Beverly Wood has collaborated with scholars based in United States. Frequent co-authors include Michelle Everson, Paul F. Velleman, Nicholas J. Horton, Robert H. F. Carver, Robin H. Lock, Allan J. Rossman, J. Melvin Witmer, John Gabrosek, Emily Faulconer and John C. Griffith. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Science Education and Technology and Online Learning.

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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