T. C. Oshima

1.3k total citations
42 papers, 982 citations indexed

About

T. C. Oshima is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, T. C. Oshima has authored 42 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 18 papers in Computer Networks and Communications and 13 papers in Statistics and Probability. Recurrent topics in T. C. Oshima's work include Psychometric Methodologies and Testing (22 papers), Advanced Statistical Modeling Techniques (18 papers) and Advanced Statistical Methods and Models (9 papers). T. C. Oshima is often cited by papers focused on Psychometric Methodologies and Testing (22 papers), Advanced Statistical Modeling Techniques (18 papers) and Advanced Statistical Methods and Models (9 papers). T. C. Oshima collaborates with scholars based in United States, Hong Kong and India. T. C. Oshima's co-authors include Nambury S. Raju, James Algina, Claudia Flowers, M. David Miller, Jihye Kim, Scott B. Morris, Larry R. Price, Michael L. Nering, Kevin Lee and Tim Davey and has published in prestigious journals such as Psychological Bulletin, Educational and Psychological Measurement and The Journal of Educational Research.

In The Last Decade

T. C. Oshima

41 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. C. Oshima United States 19 569 331 316 184 123 42 982
R. J. De Ayala United States 17 438 0.8× 256 0.8× 180 0.6× 129 0.7× 158 1.3× 38 832
Michael L. Nering United States 12 409 0.7× 215 0.6× 138 0.4× 137 0.7× 115 0.9× 18 901
Barbara G. Dodd United States 18 493 0.9× 294 0.9× 130 0.4× 137 0.7× 152 1.2× 60 900
H. Jane Rogers United States 11 871 1.5× 471 1.4× 262 0.8× 278 1.5× 259 2.1× 20 1.4k
Steffi Pohl Germany 18 393 0.7× 134 0.4× 290 0.9× 225 1.2× 205 1.7× 53 965
Daniel R. Eignor United States 17 423 0.7× 249 0.8× 116 0.4× 77 0.4× 245 2.0× 54 832
G. Gage Kingsbury United States 11 362 0.6× 147 0.4× 85 0.3× 142 0.8× 224 1.8× 30 879
Bas T. Hemker Netherlands 11 277 0.5× 178 0.5× 134 0.4× 74 0.4× 124 1.0× 17 677
Insu Paek United States 15 261 0.5× 146 0.4× 122 0.4× 127 0.7× 148 1.2× 51 654
Marie Wiberg Sweden 16 259 0.5× 156 0.5× 227 0.7× 310 1.7× 201 1.6× 85 1.0k

Countries citing papers authored by T. C. Oshima

Since Specialization
Citations

This map shows the geographic impact of T. C. Oshima'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 T. C. Oshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. C. Oshima more than expected).

Fields of papers citing papers by T. C. Oshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. C. Oshima

This figure shows the co-authorship network connecting the top 25 collaborators of T. C. Oshima. A scholar is included among the top collaborators of T. C. Oshima 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 T. C. Oshima. T. C. Oshima 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.
Oshima, T. C., et al.. (2016). Effect of Purification Procedures on DIF Analysis in IRTPRO. Educational and Psychological Measurement. 77(3). 415–428. 7 indexed citations
2.
Meyers, Joel, et al.. (2011). Student Mobility and Its Implication for Schools' Adequate Yearly Progress.. The Journal of Negro Education. 80(1). 12–21. 6 indexed citations
3.
Raju, Nambury S., et al.. (2006). A Note on Correlations Corrected for Unreliability and Range Restriction. Applied Psychological Measurement. 30(2). 145–149. 10 indexed citations
4.
Oshima, T. C., et al.. (2006). DIFCUT: A SAS/IML Program for Conducting Significance Tests for Differential Functioning of Items and Tests (DFIT). Applied Psychological Measurement. 30(2). 150–151. 7 indexed citations
5.
Oshima, T. C., et al.. (2006). A New Method for Assessing the Statistical Significance in the Differential Functioning of Items and Tests (DFIT) Framework. Journal of Educational Measurement. 43(1). 1–17. 46 indexed citations
6.
Oshima, T. C., et al.. (2006). Academic Performance Gap Between Summer-Birthday and Fall-Birthday Children in Grades K-8. The Journal of Educational Research. 99(4). 212–217. 33 indexed citations
7.
Flowers, Claudia, Nambury S. Raju, & T. C. Oshima. (2002). A Comparison of Measurement Equivalence Methods Based on Confirmatory Factor Analysis and Item Response Theory.. 8 indexed citations
8.
Flowers, Claudia, T. C. Oshima, & Nambury S. Raju. (1999). A Description and Demonstration of the Polytomous-DFIT Framework. Applied Psychological Measurement. 23(4). 309–326. 88 indexed citations
9.
Price, Larry R. & T. C. Oshima. (1998). Differential Item Functioning and Language Translation: A Cross-National Study with a Test Developed for Certification.. 7 indexed citations
10.
Oshima, T. C., Nambury S. Raju, & Claudia Flowers. (1997). Development and Demonstration of Multidimensional IRT‐Based Internal Measures of Differential Functioning of ltems and Tests. Journal of Educational Measurement. 34(3). 253–272. 48 indexed citations
11.
Algina, James, et al.. (1994). Type I Error Rates for Welch’s Test and James’s Second-Order Test Under Nonnormality and Inequality of Variance When There Are Two Groups. Journal of Educational and Behavioral Statistics. 19(3). 275–291. 44 indexed citations
12.
Algina, James & T. C. Oshima. (1994). Type I error rates for Huynh's general approximation and improved general approximation tests. British Journal of Mathematical and Statistical Psychology. 47(1). 151–165. 31 indexed citations
13.
Oshima, T. C.. (1994). The Effect of Speededness on Parameter Estimation in Item Response Theory. Journal of Educational Measurement. 31(3). 200–219. 73 indexed citations
14.
Oshima, T. C., et al.. (1994). Evaluation of Procedures for Linking Multidimensional Item Calibrations.. 2 indexed citations
15.
Flowers, Claudia & T. C. Oshima. (1994). The Consistency of DIF/DTF across Different Test Administrations: A Multidimensional Perspective..
16.
Oshima, T. C. & James Algina. (1992). Type I error rates for James's second‐order test and Wilcox's H m test under heteroscedasticity and non‐normality. British Journal of Mathematical and Statistical Psychology. 45(2). 255–263. 40 indexed citations
17.
Miller, M. David & T. C. Oshima. (1992). Effect of Sample Size, Number of Biased Items, and Magnitude of Bias on a Two-Stage Item Bias Estimation Method. Applied Psychological Measurement. 16(4). 381–388. 55 indexed citations
18.
Oshima, T. C. & M. David Miller. (1992). Multidimensionality and Item Bias in Item Response Theory. Applied Psychological Measurement. 16(3). 237–248. 47 indexed citations
19.
Algina, James & T. C. Oshima. (1990). Robustness of the independent samples Hotelling's T² to variance^covariance heteroscedasticity when sample sizes are unequal and in small ratios.. Psychological Bulletin. 108(2). 308–313. 2 indexed citations
20.
Oshima, T. C. & M. David Miller. (1990). Multidimensionality and IRT‐Based Item lnvariance Indexes: The Effect of Between‐Group Variation in Trait Correlation. Journal of Educational Measurement. 27(3). 273–283. 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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