Neil J. Dorans
- Management Science and Operations Research top 0.1%
- Computer Networks and Communications top 1%
- Education top 1%
- Statistics and Probability top 0.5%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Paul W. HollandBert F. GreenRobert J. MislevyRonald L. FlaugherHoward WainerEdward KulickFritz DrasgowAlicia P. Schmitt
- Topics
- Psychometric Methodologies and Testing (80 papers)Advanced Statistical Modeling Techniques (38 papers)Advanced Statistical Methods and Models (22 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityExperimental and Cognitive Psychology
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Neil J. Dorans
149 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Management Science and Operations Research 2.4k
- Computer Networks and Communications 1.1k
- Education 960
- Statistics and Probability 845
- Experimental and Cognitive Psychology 698
Countries citing papers authored by Neil J. Dorans
This map shows the geographic impact of Neil J. Dorans'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 Neil J. Dorans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil J. Dorans more than expected).
Fields of papers citing papers by Neil J. Dorans
This network shows the impact of papers produced by Neil J. Dorans. 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 Neil J. Dorans. The network helps show where Neil J. Dorans may publish in the future.
Co-authorship network of co-authors of Neil J. Dorans
This figure shows the co-authorship network connecting the top 25 collaborators of Neil J. Dorans. A scholar is included among the top collaborators of Neil J. Dorans 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 Neil J. Dorans. Neil J. Dorans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Observed Scores as Matching Variables in Differential Item Functioning under the One- and Two-Parameter Logistic Models: Population Results. Research Report. ETS RR-19-06. | 1 |
| 2 | Looking back : proceedings of a conference in honor of Paul W. Holland | 4 |
| 3 | Multiple Linking in Equating and Random Scale Drift. Research Report. ETS RR-11-46. | 1 |
| 4 | Unfair Treatment vs. Confirmation Bias? Comments on Santelices and Wilson. Research Report. ETS RR-10-20. | 2 |
| 5 | Principles and Practices of Test Score Equating. Research Report. ETS RR-10-29. | 3 |
| 6 | The Value of the Studied Item in the Matching Criterion in Differential Item Functioning (DIF) Analysis. Research Report. ETS RR-10-13. | 1 |
| 7 | First Language of Examinees and Its Relationship to Differential Item Functioning. Research Report. ETS RR-09-11. | 3 |
| 8 | Score Equity Assessment:Development of a Prototype Analysis Using SAT[R] Mathematics Test Data Across Several Administrations. Research Report. ETS RR-09-08. | 10 |
| 9 | First Language of Examinees and Its Relationship to Equating. Research Report. ETS RR-09-05. | 8 |
| 10 | A Review of Recent Developments in Differential Item Functioning. Research Report. ETS RR-08-43. | 6 |
| 11 | Consistency of SAT® I: Reasoning Test Score Conversions. Research Report. ETS RR-08-67. | 12 |
| 12 | DIF Detection with Small Samples: Applying Smoothing Techniques to Frequency Distributions in the Mantel-Haenszel Procedure. Research Report. ETS RR-08-44. | 1 |
| 13 | Small-Sample DIF Estimation Using Log-Linear Smoothing: A SIBTEST Application. Research Report. ETS RR-07-10. | 2 |
| 14 | Using Past Data to Enhance Small-Sample DIF Estimation: A Bayesian Approach. Research Report. ETS RR-06-09. | 4 |
| 15 | Using DIF Dissection Method to Assess Effects of Item Deletion. Research Report No. 2005-10. ETS RR-05-23. | 9 |
| 16 | Invariance of Linkings of the Revised 2005 SAT Reasoning Test™ to the SAT® I: Reasoning Test across Gender Groups. Research Report No. 2005-6. ETS RR-05-17. | 2 |
| 17 | Examining Freedle's Claims about Bias and His Proposed Solution: Dated Data, Inappropriate Measurement, and Incorrect and Unfair Scoring. Research Report. ETS RR-04-26. | 7 |
| 18 | Using Score Equity Assessment to Evaluate the Equatability of the Hardest Half of a Test to the Total Test. Research Report. ETS RR-04-43. | 2 |
| 19 | A Graphical Approach to Item Analysis. Research Report. ETS RR-04-10. | 2 |
| 20 | 2 |
About Neil J. Dorans
Neil J. Dorans is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 157 papers that have together received 4.8k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (80 papers), Advanced Statistical Modeling Techniques (38 papers) and Advanced Statistical Methods and Models (22 papers). The work is most often cited by research in Management Science and Operations Research (2.4k citations), Statistics and Probability (845 citations) and Experimental and Cognitive Psychology (698 citations). Neil J. Dorans has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Paul W. Holland, Bert F. Green, Robert J. Mislevy, Ronald L. Flaugher, Howard Wainer, Edward Kulick, Fritz Drasgow, Alicia P. Schmitt, Neal M. Kingston and Ulf Olsson. Their work appears in journals such as Journal of Applied Psychology, Review of Educational Research and Medical Care.
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.