C. David Vale

685 citations
13 papers · 500 indexed · h-index 7
Topics
Advanced Statistical Modeling Techniques (3 papers)Psychometric Methodologies and Testing (2 papers)Software Engineering Techniques and Practices (1 paper)
Partner nations
United States

In The Last Decade

C. David Vale

13 papers receiving 432 citations

Peers

C. David Vale
Comparison fields: 5 of 99
  • Statistics and Probability 242
  • Management Science and Operations Research 219
  • Computer Networks and Communications 115
  • Artificial Intelligence 79
  • Statistics, Probability and Uncertainty 43
Replace Janice A. Gifford with:
Janice A. Gifford United States
Marilyn S. Wingersky United States
Deborah J. Harris United States
Won‐Chan Lee United States
William R. Koch United States
Haruhiko Ogasawara Japan
Allen I. Fleishman United States
Keith A. Boughton Canada
Walter Kristof United States
Björn Andersson Norway
C. David Vale relative to Janice A. Gifford United States Janice A. Gifford's profile →
Citations per field
00.5×2.6×
Janice A. Gifford · 1×
Citations per year

Countries citing papers authored by C. David Vale

Since Specialization
Citations

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

Fields of papers citing papers by C. David Vale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. David Vale

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 3
3 7
4 13
5 13
6 65
7
ASCAL: A Microcomputer Program for Estimating Logistic IRT Item Parameters.
7
8 358
9 14
10 2
11
A Comparison of Information Functions of Multiple-Choice and Free-Response Vocabulary Items. Research Report 77-2.
3
12
A Study of Computer-Administered Stradaptive Ability Testing. Research Report 75-4.
6
13
A Simulation Study of Stradaptive Ability Testing. Research Report 75-6.
5

About C. David Vale

C. David Vale is a scholar working on Software, Management Science and Operations Research and Computer Networks and Communications, having authored 13 papers that have together received 500 indexed citations. Recurring topics across this work include Advanced Statistical Modeling Techniques (3 papers), Psychometric Methodologies and Testing (2 papers) and Software Engineering Techniques and Practices (1 paper). The work is most often cited by research in Statistics and Probability (242 citations), Management Science and Operations Research (219 citations) and Statistics, Probability and Uncertainty (43 citations). C. David Vale has collaborated with scholars based in United States. Frequent co-authors include David J. Weiss and David Weiss. Their work appears in journals such as Personnel Psychology, Psychometrika and Behavior Research Methods.

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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