James E. Carlson

1.4k citations
30 papers · 1.0k · h-index 14

Impact in

Papers in

James E. Carlson

28 papers receiving 896 citations

Peers

James E. Carlson
Comparison fields: 5 of 174
  • Management Science and Operations Research 210
  • Statistics and Probability 126
  • Developmental and Educational Psychology 97
  • Applied Psychology 32
  • Information Systems and Management 41
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Reinhold Hatzinger Austria
Seonghoon Kim South Korea
Klaus D. Kubinger Austria
Richard L. Tate United States
Robert A. McLean United States
Julio Olea Spain
Ulf Olsson Norway
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Countries citing papers authored by James E. Carlson

Since Specialization
Citations

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

Fields of papers citing papers by James E. Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Carlson. 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 James E. Carlson. The network helps show where James E. Carlson may publish in the future.

Co-authors

The 25 scholars most cited alongside James E. Carlson, 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 James E. Carlson Line = papers co-authored together James E. Carlson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969289
2 1988170
3 1995112
4 198865
5 197452
6 200850
7 197642
8 197733
9 198933
10 201629
11 200429
12
Increasing the Participation of Special Needs Students in NAEP: A Report on 1996 NAEP Research Activities.
200023
13
Analysis of Variance Through Full Rank Models.
197522
14 201613
15
Comparison of Two Logistic Multidimensional Item Response Theory Models
199012
16 201312
17 20208
18 19668
19 20174
20 20144

About James E. Carlson

James E. Carlson is a scholar working on Management Science and Operations Research, Education, Computer Networks and Communications, Statistics and Probability and Safety Research, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (8 papers), Advanced Statistical Methods and Models (4 papers), Advanced Statistical Modeling Techniques (4 papers), Optimal Experimental Design Methods (4 papers), Disability Education and Employment (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Statistical Methods and Applications (2 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Management Science and Operations Research (210 citations), Statistics and Probability (126 citations), Developmental and Educational Psychology (97 citations), Applied Psychology (32 citations) and Information Systems and Management (41 citations). James E. Carlson has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Sigmund Tobias, James Stevens, Neil H. Timm, Eiji Muraki, Terry A. Ackerman, Mark D. Reckase, Judith A. Spray, Bernard P. Veldkamp, Wim J. van der Linden and Matthias von Davier. Their work appears in journals such as Journal of Educational Measurement, Applied Psychological Measurement, JAMA, Psychometrika and Psychological Bulletin.

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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