Gary Skaggs

913 total citations
40 papers, 606 citations indexed

About

Gary Skaggs is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Experimental and Cognitive Psychology. According to data from OpenAlex, Gary Skaggs has authored 40 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 11 papers in Computer Networks and Communications and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Gary Skaggs's work include Psychometric Methodologies and Testing (21 papers), Advanced Statistical Modeling Techniques (11 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). Gary Skaggs is often cited by papers focused on Psychometric Methodologies and Testing (21 papers), Advanced Statistical Modeling Techniques (11 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). Gary Skaggs collaborates with scholars based in United States and Canada. Gary Skaggs's co-authors include Nancy Bodenhorn, Robert W. Lissitz, Brett D. Jones, Serge F. Hein, Michael Brown, Brennan Peterson, Christopher Newton, Karen H. Rosen, Lawrence M. Rudner and Gerald W. Bracey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Review of Educational Research and Fertility and Sterility.

In The Last Decade

Gary Skaggs

38 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Skaggs United States	13	208	196	142	107	84	40	606
Amy Benjamin United States	7	72 0.3×	94 0.5×	36 0.3×	26 0.2×	49 0.6×	33	365
Craig S. Wells United States	14	229 1.1×	142 0.7×	56 0.4×	123 1.1×	87 1.0×	41	488
Mary Pommerich United States	10	235 1.1×	177 0.9×	48 0.3×	103 1.0×	61 0.7×	30	537
Insu Paek United States	15	261 1.3×	148 0.8×	103 0.7×	146 1.4×	96 1.1×	51	654
Russell W. Jones United States	8	147 0.7×	162 0.8×	91 0.6×	58 0.5×	79 0.9×	14	639
Karen Draney United States	7	178 0.9×	152 0.8×	36 0.3×	80 0.7×	89 1.1×	22	513
Lale Khorramdel United States	14	227 1.1×	85 0.4×	95 0.7×	96 0.9×	35 0.4×	24	435
Alicia P. Schmitt United States	13	274 1.3×	125 0.6×	53 0.4×	111 1.0×	108 1.3×	29	494
Robert D. Ankenmann United States	12	281 1.4×	68 0.3×	319 2.2×	162 1.5×	53 0.6×	17	741
Anne Corinne Huggins‐Manley United States	13	132 0.6×	176 0.9×	62 0.4×	68 0.6×	115 1.4×	52	615

Countries citing papers authored by Gary Skaggs

Since Specialization

Citations

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

Fields of papers citing papers by Gary Skaggs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Skaggs. 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 Gary Skaggs. The network helps show where Gary Skaggs may publish in the future.

Co-authorship network of co-authors of Gary Skaggs

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

All Works

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20 of 20 papers shown

Savla, Jyoti, et al.. (2025). Deep Approaches to Learning, Student Satisfaction, and Employability in STEM. Education Sciences. 15(9). 1126–1126.

Burge, Penny L., et al.. (2018). Community College Engineering Students’ Perceptions of Classroom Climate and Fundamental Engineering Skills. Community College Journal of Research and Practice. 43(7). 494–504. 4 indexed citations

Jones, Brett D. & Gary Skaggs. (2016). Measuring Students’ Motivation: Validity Evidence for the MUSIC Model of Academic Motivation Inventory. SHILAP Revista de lepidopterología. 10(1). 59 indexed citations

Skaggs, Gary, et al.. (2014). Traditional fit indices utility in new psychometric model: cognitive diagnostic model. 2(2). 113–113. 1 indexed citations

Skaggs, Gary, et al.. (2013). Development and validation of the sense of competence scale - revised.. PubMed. 14(3). 318–31. 1 indexed citations

Skaggs, Gary. (2013). Coming Full Circle in Standard Setting: A Commentary on Wyse. Measurement Interdisciplinary Research and Perspectives. 11(4). 195–197. 1 indexed citations

Hein, Serge F. & Gary Skaggs. (2010). Conceptualizing the Classroom of Target Students: A Qualitative Investigation of Panelists' Experiences during Standard Setting. Educational Measurement Issues and Practice. 29(2). 36–44. 8 indexed citations

Skaggs, Gary & Edward W. Wolfe. (2010). Equating designs and procedures used in Rasch scaling.. PubMed. 11(2). 182–95. 8 indexed citations

Hein, Serge F. & Gary Skaggs. (2009). A Qualitative Investigation of Panelists' Experiences of Standard Setting Using Two Variations of the Bookmark Method. Applied Measurement in Education. 22(3). 207–228. 11 indexed citations

10.

Miyazaki, Yasuo & Gary Skaggs. (2008). Linking classical test theory and two-level hierarchical linear models.. PubMed. 9(4). 344–56. 2 indexed citations

11.

Skaggs, Gary. (2007). Bookmark locations and item response model selection in the presence of local item dependence.. PubMed. 8(1). 65–83. 4 indexed citations

12.

Skaggs, Gary, et al.. (2007). Setting Passing Scores on Passage-Based Tests: A Comparison of Traditional and Single-Passage Bookmark Methods. Applied Measurement in Education. 20(4). 405–426. 6 indexed citations

13.

Peterson, Brennan, Christopher Newton, Karen H. Rosen, & Gary Skaggs. (2006). The relationship between coping and depression in men and women referred for in vitro fertilization. Fertility and Sterility. 85(3). 802–804. 44 indexed citations

14.

Skaggs, Gary, et al.. (2006). Alleviating Stress in Clergy Wives. Journal of Spirituality in Mental Health. 9(1). 35–58. 2 indexed citations

15.

Skaggs, Gary, et al.. (2006). School Psychologists' Job Satisfaction. School Psychology International. 27(2). 131–145. 45 indexed citations

16.

Peterson, Brennan, et al.. (2006). Gender Differences in How Men and Women Referred with In Vitro Fertilization (IVF) Cope with Infertility Stress. Chapman University Digital Commons (Chapman University). 8 indexed citations

17.

Skaggs, Gary. (2005). Accuracy of Random Groups Equating with Very Small Samples. Journal of Educational Measurement. 42(4). 309–330. 51 indexed citations

18.

Bodenhorn, Nancy & Gary Skaggs. (2005). Development of the School Counselor Self-Efficacy Scale. Measurement and Evaluation in Counseling and Development. 38(1). 14–28. 82 indexed citations

19.

Skaggs, Gary & Robert W. Lissitz. (1992). The Consistency of Detecting Item Bias Across Different Test Administrations: Implications of Another Failure. Journal of Educational Measurement. 29(3). 227–242. 15 indexed citations

20.

Skaggs, Gary & Robert W. Lissitz. (1986). IRT Test Equating: Relevant Issues and a Review of Recent Research. Review of Educational Research. 56(4). 495–495. 2 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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