Jay Blanchard

38 papers receiving 441 citations

Peers

Jay Blanchard
Comparison fields: 5 of 90
  • Education 180
  • Developmental and Educational Psychology 178
  • General Health Professions 137
  • Experimental and Cognitive Psychology 46
  • Artificial Intelligence 44
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Countries citing papers authored by Jay Blanchard

Since Specialization
Citations

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

Fields of papers citing papers by Jay Blanchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Blanchard

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Blanchard. A scholar is included among the top collaborators of Jay Blanchard 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 Jay Blanchard. Jay Blanchard 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 8
2 25
3 1
4 3
5 0
6 170
7
Hypertext and Hypermedia: Discovering and Creating Meaningful Learning Environments.
8
8
An Exploratory Inquiry: The Milieu of Research in Secondary, Content-Area Reading Methodology Textbooks.
0
9 0
10 1
11 20
12
The Computer in reading and language arts
6
13
Informal Reading Inventories--A Broader View.
1
14
Using Computers in Content Area Reading Instruction
2
15
What to Tell Students About Underlining...and Why.
6
16
Determining Instructional Reading Level: Standardized Multiple Choice versus IRI Probed Recall Questions.
0
17
Anthropomorphism in Beginning Readers.
7
18
A Comprehension Strategy for Disabled Readers in the Middle School.
4
19
Computer-assisted Instruction in Today's Reading Classrooms
0
20 5

About Jay Blanchard

Jay Blanchard is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education, having authored 46 papers that have together received 511 indexed citations. Recurring topics across this work include Reading and Literacy Development (11 papers), Education and Technology Integration (7 papers) and Child Development and Digital Technology (7 papers). The work is most often cited by research in Developmental and Educational Psychology (178 citations), Health Informatics (15 citations) and Linguistics and Language (32 citations). Jay Blanchard has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Barbara H. Warren, Michael Burgoon, Gregory R. Hart, Daniel McGee, Kenneth J. Smith, Barry D. Weiss, Joanna S. Gorin, Karen Burstein, James Christie and Michael F. Kelley. Their work appears in journals such as Reading Research Quarterly, The Journal of Educational Research and Professional Psychology Research and Practice.

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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