Ross E. Traub

1.4k citations
40 papers · 990 · h-index 17

Impact in

Papers in

Ross E. Traub

37 papers receiving 802 citations

Peers

Ross E. Traub
Comparison fields: 5 of 113
  • Management Science and Operations Research 343
  • Statistics and Probability 129
  • Computational Mathematics 8
  • Family Practice 30
  • Developmental and Educational Psychology 149
Replace Michael J. Subkoviak with:
Michael J. Subkoviak United States
William H. Angoff United States
William A. Mehrens United States
Richard M. Jaeger United States
Robert B. Frary United States
Ronald L. Flaugher United States
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John Schmid United States
Frank E. Saal United States
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Citations per field
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Michael J. Subkoviak · 1×
Citations per year

Countries citing papers authored by Ross E. Traub

Since Specialization
Citations

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

Fields of papers citing papers by Ross E. Traub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ross E. Traub, 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 Ross E. Traub Line = papers co-authored together Ross E. Traub 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
Reliability for the Social Sciences: Theory and Applications
1994203
2 199790
3 197773
4 199164
5 197060
6 197453
7 197749
8 196939
9 199137
10 197035
11 196733
12 197232
13 198130
14 197326
15 198024
16 197222
17 198116
18 198516
19 197116
20 197314

About Ross E. Traub

Ross E. Traub is a scholar working on Management Science and Operations Research, Education, Statistics and Probability, Computer Science Applications and Computer Networks and Communications, having authored 40 papers that have together received 990 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (14 papers), Mathematics Education and Teaching Techniques (4 papers), Advanced Statistical Modeling Techniques (4 papers), School Choice and Performance (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Teacher Education and Leadership Studies (3 papers), Education Systems and Policy (3 papers) and Cognitive Abilities and Testing (3 papers). The work is most often cited by research in Management Science and Operations Research (343 citations), Statistics and Probability (129 citations), Computational Mathematics (8 citations), Family Practice (30 citations) and Developmental and Educational Psychology (149 citations). Ross E. Traub has collaborated with scholars based in Canada, Australia and India. Frequent co-authors include Glenn Rowley, Ronald K. Hambleton, Charles Fisher, Michael C. Corballis, Richard G. Wolfe, Balwant Singh, Dennis M. Roberts, Joel Weiss, C. Fisher and Shawn Moore. Their work appears in journals such as Journal of Educational Measurement, Educational and Psychological Measurement, Educational Measurement Issues and Practice, Applied Psychological Measurement and Review of Research in Education.

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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