James E. Carlson

1.4k total citations
30 papers, 1.0k citations indexed

About

James E. Carlson is a scholar working on Management Science and Operations Research, Education and Computer Networks and Communications. According to data from OpenAlex, James E. Carlson has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 5 papers in Education and 4 papers in Computer Networks and Communications. Recurrent topics in James E. Carlson's work include Psychometric Methodologies and Testing (8 papers), Advanced Statistical Modeling Techniques (4 papers) and Advanced Statistical Methods and Models (4 papers). James E. Carlson is often cited by papers focused on Psychometric Methodologies and Testing (8 papers), Advanced Statistical Modeling Techniques (4 papers) and Advanced Statistical Methods and Models (4 papers). James E. Carlson collaborates with scholars based in United States, Canada and Netherlands. James E. Carlson's co-authors include Sigmund Tobias, James Stevens, Neil H. Timm, Eiji Muraki, Mark D. Reckase, Terry A. Ackerman, Judith A. Spray, Wim J. van der Linden, Bernard P. Veldkamp and Matthias von Davier and has published in prestigious journals such as JAMA, Psychological Bulletin and PLoS ONE.

In The Last Decade

James E. Carlson

28 papers receiving 896 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James E. Carlson United States 14 210 149 126 104 97 30 1.0k
David Epstein United States 19 388 1.8× 123 0.8× 176 1.4× 82 0.8× 101 1.0× 52 2.4k
SW 8 156 0.7× 88 0.6× 133 1.1× 82 0.8× 167 1.7× 10 1.3k
Klaus D. Kubinger Austria 14 199 0.9× 114 0.8× 97 0.8× 103 1.0× 61 0.6× 63 797
Ulf Olsson Norway 18 198 0.9× 112 0.8× 166 1.3× 104 1.0× 272 2.8× 58 1.6k
Dalton Francisco de Andrade Brazil 21 151 0.7× 215 1.4× 152 1.2× 70 0.7× 66 0.7× 119 1.4k
George Karabatsos United States 15 291 1.4× 85 0.6× 253 2.0× 119 1.1× 268 2.8× 54 1.6k
Reinhold Hatzinger Austria 13 175 0.8× 77 0.5× 188 1.5× 80 0.8× 88 0.9× 38 933
Robert A. McLean United States 16 179 0.9× 74 0.5× 164 1.3× 20 0.2× 97 1.0× 80 1.7k
Louis W. Glorfeld United States 9 149 0.7× 73 0.5× 80 0.6× 54 0.5× 63 0.6× 18 852
Christof Schuster United States 13 110 0.5× 82 0.6× 133 1.1× 33 0.3× 81 0.8× 34 783

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-authorship network of co-authors of James E. Carlson

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Carlson. A scholar is included among the top collaborators of James E. Carlson 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 James E. Carlson. James E. Carlson 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
1.
Carlson, James E.. (2020). Introduction to Item Response Theory Models and Applications. 8 indexed citations
2.
Carlson, James E.. (2017). Unidimensional Vertical Scaling in Multidimensional Space. ETS Research Report Series. 2017(1). 1–28. 4 indexed citations
3.
Gelaye, Bizu, Susan Sumner, Susan McRitchie, et al.. (2016). Maternal Early Pregnancy Serum Metabolomics Profile and Abnormal Vaginal Bleeding as Predictors of Placental Abruption: A Prospective Study. PLoS ONE. 11(6). e0156755–e0156755. 29 indexed citations
4.
Dhungana, Suraj, James E. Carlson, Wimal Pathmasiri, et al.. (2016). Impact of a western diet on the ovarian and serum metabolome. Maturitas. 92. 134–142. 13 indexed citations
5.
Carlson, James E.. (2014). A Generalization of Pythagoras's Theorem and Application to Explanations of Variance Contributions in Linear Models. Research Report. ETS RR-14-18.. ETS Research Report Series. 1 indexed citations
6.
Carlson, James E.. (2014). What Differential Weighting of Subsets of Items Does and Does Not Accomplish: Geometric Explanation. ETS Research Report Series. 2014(2). 1–18. 1 indexed citations
7.
Carlson, James E. & Matthias von Davier. (2013). Item Response Theory. Research Report. ETS RR-13-28. ETS R&D Scientific and Policy Contributions Series. ETS SPC-13-05.. ETS Research Report Series. 2 indexed citations
8.
Ding, Shi-Jian, James E. Carlson, Yun Tong, et al.. (2008). Five Tyrosines and Two Serines in Human Albumin Are Labeled by the Organophosphorus Agent FP-Biotin. Chemical Research in Toxicology. 21(9). 1787–1794. 50 indexed citations
9.
Linden, Wim J. van der, Bernard P. Veldkamp, & James E. Carlson. (2004). Optimizing Balanced Incomplete Block Designs for Educational Assessments. Applied Psychological Measurement. 28(5). 317–331. 29 indexed citations
10.
Mazzeo, John, James E. Carlson, Kristin E. Voelkl, & Anthony Lutkus. (2000). Increasing the Participation of Special Needs Students in NAEP: A Report on 1996 NAEP Research Activities.. 2(1). 23 indexed citations
11.
Muraki, Eiji & James E. Carlson. (1995). Full-Information Factor Analysis for Polytomous Item Responses. Applied Psychological Measurement. 19(1). 73–90. 112 indexed citations
12.
Carlson, James E., et al.. (1992). Dimensionality of 1990 NAEP Mathematics Data.. 3 indexed citations
13.
Spray, Judith A., Tim Davey, Mark D. Reckase, Terry A. Ackerman, & James E. Carlson. (1990). Comparison of Two Logistic Multidimensional Item Response Theory Models. 12 indexed citations
14.
Carlson, James E.. (1988). Book Reviews: Applied Multivariate Statistics for the Social Sciences. Journal of Educational Statistics. 13(4). 368–372.
15.
Reckase, Mark D., Terry A. Ackerman, & James E. Carlson. (1988). Building a Unidimensional Test Using Multidimensional Items. Journal of Educational Measurement. 25(3). 193–203. 65 indexed citations
16.
Garg, Rashmi, Marvin W. Boss, & James E. Carlson. (1986). A COMPARISON OF EXAMINEE SAMPLING AND MULTIPLE MATRIX SAMPLING IN TEST DEVELOPMENT. Journal of Educational Measurement. 23(2). 119–130. 1 indexed citations
17.
Carlson, James E.. (1977). Hypersensitivity Pneumonitis Due to Pyrethrum. JAMA. 237(16). 1718–1718. 33 indexed citations
18.
Timm, Neil H. & James E. Carlson. (1976). Part and Bipartial Canonical Correlation Analysis. Psychometrika. 41(2). 159–176. 42 indexed citations
19.
Timm, Neil H. & James E. Carlson. (1975). Analysis of Variance Through Full Rank Models.. 22 indexed citations
20.
Boersma, Frederic J., et al.. (1966). Effects of reporting associative strategies on the retention of paired-associates. Psychonomic Science. 5(12). 463–464. 8 indexed citations

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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