C. Victor Bunderson

791 citations
35 papers · 479 indexed · h-index 11

C. Victor Bunderson

28 papers receiving 357 citations

Peers

C. Victor Bunderson
Comparison fields: 5 of 96
  • Education 187
  • Developmental and Educational Psychology 164
  • Artificial Intelligence 94
  • Computer Science Applications 94
  • Experimental and Cognitive Psychology 80
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Countries citing papers authored by C. Victor Bunderson

Since Specialization
Citations

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

Fields of papers citing papers by C. Victor Bunderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Victor Bunderson. 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 C. Victor Bunderson. The network helps show where C. Victor Bunderson may publish in the future.

Co-authorship network of co-authors of C. Victor Bunderson

This figure shows the co-authorship network connecting the top 25 collaborators of C. Victor Bunderson. A scholar is included among the top collaborators of C. Victor Bunderson 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 C. Victor Bunderson. C. Victor Bunderson 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
Developing a domain theory defining and exemplifying a learning theory of progressive attainments.
1
2
The Rasch model and additive conjoint measurement.
41
3
The recovery of the density scale using a stochastic quasi-realization of additive conjoint measurement.
3
4
Four Frameworks for Viewing Blending Learning Cases: Comments and Critique.
6
5 43
6 2
7 0
8 123
9
Instructional Effectiveness of an Intelligent Videodisc in Biology.
13
10 2
11
Will Technology Improve Instructional Productivity
0
12 6
13 3
14 16
15
Programmed and Computer-Assisted Instruction
10
16 1
17
The TICCIT Learner Control Language. Occasional Paper No. 5.
1
18
A Computer-Assisted Instruction Program in the Arabic Writing System.
7
19
Justifying CAI in Mainline Instruction.
2
20 60

About C. Victor Bunderson

C. Victor Bunderson is a scholar working on Computer Science Applications, Media Technology and Developmental and Educational Psychology, having authored 35 papers that have together received 479 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (5 papers), Visual and Cognitive Learning Processes (4 papers) and Science Education and Pedagogy (4 papers). The work is most often cited by research in Computer Science Applications (94 citations), Developmental and Educational Psychology (164 citations) and Education (187 citations). C. Victor Bunderson has collaborated with scholars based in United States and Canada. Frequent co-authors include James B. Olsen, Dillon K. Inouye, Lyle E. Bourne, Margaret Merrill, Charles M. Reigeluth, Gregory R. Conner, Jack Dunham, Paul F. Merrill, Andrew S. Gibbons and Greg P. Kearsley. Their work appears in journals such as Journal of Educational Psychology, IEEE Transactions on Aerospace and Electronic Systems and Science Education.

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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