F. Jay Breyer

414 total citations
10 papers, 272 citations indexed

About

F. Jay Breyer is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Information Systems. According to data from OpenAlex, F. Jay Breyer has authored 10 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 5 papers in Statistics, Probability and Uncertainty and 3 papers in Information Systems. Recurrent topics in F. Jay Breyer's work include Psychometric Methodologies and Testing (6 papers), Reliability and Agreement in Measurement (4 papers) and Software Engineering Research (2 papers). F. Jay Breyer is often cited by papers focused on Psychometric Methodologies and Testing (6 papers), Reliability and Agreement in Measurement (4 papers) and Software Engineering Research (2 papers). F. Jay Breyer collaborates with scholars based in United States. F. Jay Breyer's co-authors include David M. Williamson, Xiaoming Xi, Charles Lewis, Brent Bridgeman, Yigal Attali, Catherine Trapani, Mo Zhang, André A. Rupp, Chaitanya Ramineni and André Rupp and has published in prestigious journals such as Educational Measurement Issues and Practice, International Journal of Testing and ETS Research Report Series.

In The Last Decade

F. Jay Breyer

10 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Jay Breyer United States	5	134	87	66	59	37	10	272
Chi Lu United States	5	207 1.5×	45 0.5×	88 1.3×	47 0.8×	15 0.4×	10	271
Jinnie Shin United States	8	89 0.7×	60 0.7×	54 0.8×	42 0.7×	14 0.4×	27	231
Masaki Uto Japan	11	183 1.4×	64 0.7×	78 1.2×	29 0.5×	55 1.5×	31	315
Jennifer J. Kaplan United States	10	41 0.3×	165 1.9×	11 0.2×	33 0.6×	11 0.3×	19	288
Ellen Vandervieren Belgium	8	21 0.2×	106 1.2×	30 0.5×	24 0.4×	9 0.2×	20	224
Ramon Ziai Germany	11	297 2.2×	49 0.6×	70 1.1×	91 1.5×	4 0.1×	26	352
Ahmed Maalel Tunisia	8	63 0.5×	22 0.3×	36 0.5×	76 1.3×	9 0.2×	21	192
Violeta Negrea United Kingdom	2	67 0.5×	44 0.5×	47 0.7×	18 0.3×	4 0.1×	5	214
Arham Muslim Germany	9	64 0.5×	51 0.6×	53 0.8×	34 0.6×	6 0.2×	16	246
Deirdre Kerr United States	9	107 0.8×	56 0.6×	35 0.5×	154 2.6×	5 0.1×	25	257

Countries citing papers authored by F. Jay Breyer

Since Specialization

Citations

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

Fields of papers citing papers by F. Jay Breyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Jay Breyer. 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 F. Jay Breyer. The network helps show where F. Jay Breyer may publish in the future.

Co-authorship network of co-authors of F. Jay Breyer

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

All Works

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10 of 10 papers shown

Breyer, F. Jay, André Rupp, & Brent Bridgeman. (2017). Implementing a Contributory Scoring Approach for the "GRE"® Analytical Writing Section: A Comprehensive Empirical Investigation. Research Report. ETS RR-17-14.. ETS Research Report Series. 2 indexed citations

Breyer, F. Jay, André A. Rupp, & Brent Bridgeman. (2017). Implementing a Contributory Scoring Approach for the GRE^® Analytical Writing Section: A Comprehensive Empirical Investigation. ETS Research Report Series. 2017(1). 1–28. 6 indexed citations

Heilman, Michael, et al.. (2015). Automated Analysis of Text in Graduate School Recommendations. ETS Research Report Series. 2015(2). 1–12. 2 indexed citations

Breyer, F. Jay, et al.. (2014). A Study of the Use of the "e-rater"® Scoring Engine for the Analytical Writing Measure of the "GRE"® revised General Test. Research Report. ETS RR-14-24.. ETS Research Report Series. 3 indexed citations

Breyer, F. Jay, et al.. (2014). A Study of the Use of the e‐rater^® Scoring Engine for the Analytical Writing Measure of the GRE^® revised General Test. ETS Research Report Series. 2014(2). 1–66. 8 indexed citations

Breyer, F. Jay, et al.. (2013). INVESTIGATING THE SUITABILITY OF IMPLEMENTING THE E‐RATER® SCORING ENGINE IN A LARGE‐SCALE ENGLISH LANGUAGE TESTING PROGRAM. ETS Research Report Series. 2013(2). 3 indexed citations

Zhang, Mo, David M. Williamson, F. Jay Breyer, & Catherine Trapani. (2012). Comparison ofe-rater® Automated Essay Scoring Model Calibration Methods Based on Distributional Targets. International Journal of Testing. 12(4). 345–364. 6 indexed citations

Williamson, David M., Xiaoming Xi, & F. Jay Breyer. (2012). A Framework for Evaluation and Use of Automated Scoring. Educational Measurement Issues and Practice. 31(1). 2–13. 234 indexed citations

Breyer, F. Jay & Charles Lewis. (1994). PASS‐FAIL RELIABILITY FOR TESTS WITH CUT SCORES: A SIMPLIFIED METHOD. ETS Research Report Series. 1994(2). 7 indexed citations

10.

Breyer, F. Jay, Charles Lewis, & Laurie J. Mango. (1994). A Computerized Model-Based Approach for Assessing Cytotechnologists’ Recognition and Referral Skills. Laboratory Medicine. 25(4). 264–266. 1 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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