Allan S. Cohen

4.9k citations
130 papers · 3.5k indexed · h-index 34

Allan S. Cohen

121 papers receiving 3.1k citations

Peers

Allan S. Cohen
Comparison fields: 5 of 167
  • Management Science and Operations Research 1.7k
  • Statistics and Probability 849
  • Computer Networks and Communications 955
  • Developmental and Educational Psychology 460
  • Experimental and Cognitive Psychology 445
Replace Wen‐Chung Wang with:
Wen‐Chung Wang Hong Kong
Mark D. Reckase United States
Michael J. Kolen United States
Matthias von Davier United States
Neil J. Dorans United States
Hariharan Swaminathan United States
Cees A. W. Glas Netherlands
Geoff N Masters Australia
Eiji Muraki United States
Sandip Sinharay United States
Allan S. Cohen relative to Wen‐Chung Wang Hong Kong Wen‐Chung Wang's profile →
Citations per field
00.5×1.5×
Wen‐Chung Wang · 1×
Citations per year

Countries citing papers authored by Allan S. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Allan S. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allan S. Cohen. 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 Allan S. Cohen. The network helps show where Allan S. Cohen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202318
3 20232
4 20212
5 202112
6 202121
7 20203
8 20203
9 20200
10
Detecting Math Anxiety with a Mixture Partial Credit Model.
20171
11 20175
12 201313
13 20095
14
A Mixture IRT Approach to Differential Item Functioning
20060
15 2000156
16 199935
17
A Comparison of Linking and Concurrent Calibration under the Graded Response Model
19973
18 19954
19 198923
20
An Examination of Cumulative Folder Information Used by Teachers in Making Differential Judgments of Children's Abilities.
197612

About Allan S. Cohen

Allan S. Cohen is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 130 papers that have together received 3.5k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (70 papers), Advanced Statistical Modeling Techniques (51 papers), Statistical Methods and Bayesian Inference (27 papers), Behavioral and Psychological Studies (13 papers), Student Assessment and Feedback (9 papers), Cognitive and developmental aspects of mathematical skills (8 papers), Advanced Statistical Methods and Models (7 papers) and Cognitive Abilities and Testing (6 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Statistics and Probability (849 citations) and Computer Networks and Communications (955 citations). Allan S. Cohen has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include Seock‐Ho Kim, James A. Wollack, Daniel M. Bolt, Michael T. Kane, Terence J. Crooks, Sun‐Joo Cho, Colleen A. McHorney, Feiming Li, Taehoon Kang and Brian A. Bottge.

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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