Gary Skaggs

38 papers receiving 519 citations

Peers

Gary Skaggs
Comparison fields: 5 of 82
  • Management Science and Operations Research 208
  • Statistics and Probability 64
  • Social Psychology 142
  • Education 196
  • Developmental and Educational Psychology 84
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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-authors

The 20 scholars most cited alongside Gary Skaggs, 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 Gary Skaggs Line = papers co-authored together Gary Skaggs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200582
2 198667
3 200662
4 201659
5 200551
6 200645
7 200644
8 198820
9 198617
10 199616
11 199215
12 199015
13
Item Disordinality with the Bookmark Standard Setting Procedure.
200113
14 200911
15 20108
16
Equating designs and procedures used in Rasch scaling.
20108
17
Gender Differences in How Men and Women Referred with In Vitro Fertilization (IVF) Cope with Infertility Stress
20068
18 20076
19 19896
20 20166

About Gary Skaggs

Gary Skaggs is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Experimental and Cognitive Psychology, Social Psychology and Education, having authored 40 papers that have together received 606 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (21 papers), Advanced Statistical Modeling Techniques (11 papers), Behavioral and Psychological Studies (3 papers), Counseling Practices and Supervision (3 papers), Education, Achievement, and Giftedness (3 papers), Reproductive Health and Technologies (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). The work is most often cited by research in Management Science and Operations Research (208 citations), Statistics and Probability (64 citations), Social Psychology (142 citations), Education (196 citations) and Developmental and Educational Psychology (84 citations). Gary Skaggs has collaborated with scholars based in United States and Canada. Frequent co-authors include Nancy Bodenhorn, Robert W. Lissitz, Brett D. Jones, Serge F. Hein, Michael Brown, Brennan Peterson, Karen H. Rosen, Christopher Newton, Jesse L. M. Wilkins and Gerald W. Bracey. Their work appears in journals such as Applied Psychological Measurement, Applied Measurement in Education, Journal of Educational Measurement, Educational Measurement Issues and Practice and Review of Educational Research.

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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