Philip Vahey

560 citations
20 papers · 358 · h-index 9

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 8
    • Education and Technology Integration 4
    • Child Development and Digital Technology 3
    • Statistics Education and Methodologies 6
    • Cognitive and developmental aspects of mathematical skills 4

Philip Vahey

17 papers receiving 311 citations

Peers

Philip Vahey
Comparison fields: 5 of 53
  • Computer Science Applications 50
  • Information Systems 153
  • Education 198
  • Developmental and Educational Psychology 84
  • Statistics and Probability 36
Replace Theodosia Prodromou with:
Theodosia Prodromou Australia
Anne Estapa United States
Kan Kan Chan Macao
T.‐C. Liu Taiwan
Chiu-Pin Lin Taiwan
Karen Hollebrands United States
Maximus Tamur Indonesia
Mai Neo Malaysia
Immaculate Kizito Namukasa Canada
Kiyoshi Nakabayashi Japan
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Citations per field
00.5×2.8×
Theodosia Prodromou · 1×
Citations per year

Countries citing papers authored by Philip Vahey

Since Specialization
Citations

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

Fields of papers citing papers by Philip Vahey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Philip Vahey, 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 Philip Vahey Line = papers co-authored together Philip Vahey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2003140
2
What Parents Talk about When They Talk about Learning: A National Survey about Young Children and Science.
201843
3 201240
4 201335
5 201426
6 201314
7 202011
8
Improving Mathematics Learning by Integrating Curricular Activities with Innovative and Developmentally Appropriate Digital Apps: Findings from the Next Generation Preschool Math Evaluation.
201510
9 20188
10
A Cross-Curricular Approach to the Development of Data Literacy in the Middle-Grades: The Thinking with Data Project.
20126
11 20026
12 20175
13
Using Handhelds to Link Private Cognition and Public Interaction
20074
14
Handheld computers in education: An industry perspective
20073
15 20163
16 20032
17 20131
18
Promoting student understanding of elementary probability using a technology-mediated inquiry environment
19981
19
Integrating Technology for Deep Mathematics Learning
20130
20 20200

About Philip Vahey

Philip Vahey is a scholar working on Education, Statistics and Probability, Information Systems, Developmental and Educational Psychology and Information Systems and Management, having authored 20 papers that have together received 358 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (8 papers), Statistics Education and Methodologies (6 papers), Mobile Learning in Education (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Education and Technology Integration (4 papers), Child Development and Digital Technology (3 papers), Innovative Teaching and Learning Methods (3 papers) and ICT in Developing Communities (2 papers). The work is most often cited by research in Computer Science Applications (50 citations), Information Systems (153 citations), Education (198 citations), Developmental and Educational Psychology (84 citations) and Statistics and Probability (36 citations). Philip Vahey has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Jeremy Roschelle, Deborah Tatar, William R. Penuel, Celia Hoyles, Mark van ’t Hooft, Richard Noss, Karen Swan, Annette Kratcoski, Todd Grindal and Charles Patton. Their work appears in journals such as ZDM, Journal of Science Education and Technology, Interdisciplinary Journal of Problem-based Learning, Educational Studies in Mathematics and Computer.

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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