Peter J. Pashley

569 total citations
20 papers, 175 citations indexed

About

Peter J. Pashley is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Peter J. Pashley has authored 20 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 4 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Peter J. Pashley's work include Psychometric Methodologies and Testing (7 papers), Advanced Statistical Modeling Techniques (4 papers) and Multi-Criteria Decision Making (3 papers). Peter J. Pashley is often cited by papers focused on Psychometric Methodologies and Testing (7 papers), Advanced Statistical Modeling Techniques (4 papers) and Multi-Criteria Decision Making (3 papers). Peter J. Pashley collaborates with scholars based in United States and Netherlands. Peter J. Pashley's co-authors include Deborah L. Schnipke, Louis A. Roussos, Michael Friendly, Howard Wainer, Gary W. Phillips, Douglas H. Jones, Ronald D. Armstrong, Bruce Bloxom, Frederic M. Lord and W. Alan Nicewander and has published in prestigious journals such as Journal of the American Statistical Association, Applied Psychological Measurement and Journal of Educational and Behavioral Statistics.

In The Last Decade

Peter J. Pashley

18 papers receiving 153 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter J. Pashley United States	7	80	51	36	32	23	20	175
Nathan A. Thompson United States	6	76 0.9×	38 0.7×	24 0.7×	28 0.9×	30 1.3×	18	180
Gary L. Marco United States	7	174 2.2×	127 2.5×	51 1.4×	63 2.0×	18 0.8×	14	258
Tim Moses United States	10	175 2.2×	122 2.4×	134 3.7×	41 1.3×	19 0.8×	72	345
Walter D. Way United States	10	229 2.9×	129 2.5×	42 1.2×	70 2.2×	27 1.2×	30	328
Chanjin Zheng China	8	84 1.1×	33 0.6×	19 0.5×	31 1.0×	56 2.4×	24	213
Janice A. Gifford United States	7	258 3.2×	152 3.0×	181 5.0×	35 1.1×	32 1.4×	9	406
Silvia Cagnone Italy	8	38 0.5×	23 0.5×	98 2.7×	11 0.3×	13 0.6×	28	301
J Perezgonzalez New Zealand	8	35 0.4×	5 0.1×	45 1.3×	11 0.3×	21 0.9×	31	259
Hubert E. Brogden United States	9	68 0.8×	8 0.2×	49 1.4×	25 0.8×	41 1.8×	14	226

Countries citing papers authored by Peter J. Pashley

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Pashley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Pashley. 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 Peter J. Pashley. The network helps show where Peter J. Pashley may publish in the future.

Co-authorship network of co-authors of Peter J. Pashley

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Pashley. A scholar is included among the top collaborators of Peter J. Pashley 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 Peter J. Pashley. Peter J. Pashley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Linden, Wim J. van der & Peter J. Pashley. (2010). Chapter 1 Item Selection and Ability Estimation in Adaptive Testing. 2 indexed citations

2.

Pashley, Peter J., et al.. (2005). Visualizing Large-Scale Data in Educational, Behavioral, Psychometrical and Social Sciences: Utilities and Design Patterns of the SEER Computational and Graphical Statistics. Information Visualization. 4(4). 276–289. 1 indexed citations

3.

Armstrong, Ronald D., et al.. (2004). Computerized Adaptive Testing With Multiple-Form Structures. Applied Psychological Measurement. 28(3). 147–164. 18 indexed citations

4.

Pashley, Peter J., et al.. (2002). Predictive Validity of Accommodated LSAT Scores. Technical Report. LSAC Research Report Series.. 3 indexed citations

5.

Schnipke, Deborah L., Louis A. Roussos, & Peter J. Pashley. (2000). A Comparison of Mantel-Haenszel Differential Item Functioning Parameters. LSAC Research Report Series.. 3 indexed citations

6.

Pashley, Peter J., et al.. (1999). Predictive Validity of the LSAT: A National Summary of the 1995-1996 Correlation Studies. LSAT Technical Report. LSAC Research Report Series.. 3 indexed citations

7.

Roussos, Louis A., Deborah L. Schnipke, & Peter J. Pashley. (1999). A Generalized Formula for the Mantel-Haenszel Differential Item Functioning Parameter. Journal of Educational and Behavioral Statistics. 24(3). 293–293. 2 indexed citations

8.

Roussos, Louis A., Deborah L. Schnipke, & Peter J. Pashley. (1999). A Generalized Formula for the Mantel-Haenszel Differential Item Functioning Parameter. Journal of Educational and Behavioral Statistics. 24(3). 293–322. 41 indexed citations

9.

Pashley, Peter J., et al.. (1999). Crafting an Incoming Law School Class: Preliminary Results. LSAC Research Report Series.. 1 indexed citations

10.

Schnipke, Deborah L. & Peter J. Pashley. (1997). Assessing Subgroup Differences in Item Response Times. American Educational Research Association Annual Meeting. 1997(1). 4 indexed citations

11.

Patsula, Liane N. & Peter J. Pashley. (1996). Pretest Item Analyses Using Polynomial Logistic Regression: An Approach to Small Sample Calibration Problems Associated with Computerized Adaptive Testing. 1996(1). 3 indexed citations

12.

Bloxom, Bruce, Peter J. Pashley, W. Alan Nicewander, & Duanli Yan. (1995). Linking to a Large-Scale Assessment: An Empirical Evaluation. Journal of Educational and Behavioral Statistics. 20(1). 1–26. 17 indexed citations

13.

Du, Yi, Charles Lewis, & Peter J. Pashley. (1994). COMPUTERIZED MASTERY TESTING USING FUZZY SET DECISION THEORY. ETS Research Report Series. 1994(2). 181–193. 5 indexed citations

14.

Pashley, Peter J. & Gary W. Phillips. (1993). Toward World-Class Standards: A Research Study Linking International and National Assessments.. 13 indexed citations

15.

Du, Yi, Charles Lewis, & Peter J. Pashley. (1993). Computerized Mastery Testing Using Fuzzy Set Decision Theory. Applied Measurement in Education. 6(3). 181–193. 1 indexed citations

16.

Wainer, Howard, Peter J. Pashley, & Michael Friendly. (1992). SAS System for Statistical Graphics.. Journal of the American Statistical Association. 87(419). 899–899. 40 indexed citations

17.

Pashley, Peter J.. (1992). GRAPHICAL IRT‐BASED DIF ANALYSES. ETS Research Report Series. 1992(2). 7 indexed citations

18.

Pashley, Peter J.. (1991). AN ALTERNATIVE THREE‐PARAMETER LOGISTIC ITEM RESPONSE MODEL. ETS Research Report Series. 1991(1). 3 indexed citations

19.

Lord, Frederic M. & Peter J. Pashley. (1988). CONFIDENCE BANDS FOR THE THREE‐PARAMETER LOGISTIC ITEM RESPONSE CURVE. ETS Research Report Series. 1988(2). 8 indexed citations

20.

Pashley, Peter J.. (1974). An investigation into the speed and resolution of various blue and green film-fluorescent screen combinations available for Odelca 100 mm camera units.. PubMed. 40(469). 15–22.

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.

Explore authors with similar magnitude of impact