Gary E. Skaggs

924 citations
41 papers · 657 · h-index 13

Impact in

Papers in

Gary E. Skaggs

38 papers receiving 555 citations

Peers

Gary E. Skaggs
Comparison fields: 5 of 53
  • Management Science and Operations Research 307
  • Reproductive Medicine 54
  • Social Psychology 108
  • Education 163
  • Leadership and Management 4
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Citations per year

Countries citing papers authored by Gary E. Skaggs

Since Specialization
Citations

This map shows the geographic impact of Gary E. 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 E. 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 E. Skaggs more than expected).

Fields of papers citing papers by Gary E. Skaggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Gary E. 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 E. Skaggs Line = papers co-authored together Gary E. Skaggs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200594
2 198671
3 201668
4 200663
5 200554
6 200647
7 200646
8 198620
9 198819
10 199618
11 199217
12 199015
13
Item Disordinality with the Bookmark Standard Setting Procedure.
200114
14 200912
15
Gender Differences in How Men and Women Referred with In Vitro Fertilization (IVF) Cope with Infertility Stress
20068
16
Equating designs and procedures used in Rasch scaling.
20108
17 20108
18 20168
19 19897
20 20167

About Gary E. Skaggs

Gary E. Skaggs is a scholar working on Management Science and Operations Research, Education, Reproductive Medicine, Experimental and Cognitive Psychology and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 657 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (28 papers), Reproductive Health and Technologies (3 papers), Teacher Education and Assessments (3 papers), Education, Achievement, and Giftedness (2 papers), Educational Assessment and Pedagogy (2 papers), Higher Education Research Studies (2 papers), Engineering Education and Curriculum Development (1 paper) and Evaluation of Teaching Practices (1 paper). The work is most often cited by research in Management Science and Operations Research (307 citations), Reproductive Medicine (54 citations), Social Psychology (108 citations), Education (163 citations) and Leadership and Management (4 citations). Gary E. Skaggs has collaborated with scholars based in United States and Canada. Frequent co-authors include Nancy E. Bodenhorn, Robert W. Lissitz, Brett D. Jones, Serge F. Hein, Michael Brown, Brennan D. Peterson, Karen H. Rosen, Jesse L. M. Wilkins, Lawrence M. Rudner and Gerald W. Bracey. Their work appears in journals such as Applied Measurement in Education, Applied Psychological Measurement, Educational Measurement Issues and Practice, Journal of Educational Measurement and Fertility and Sterility.

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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