Barbara G. Dodd

60 papers receiving 773 citations

Peers

Barbara G. Dodd
Comparison fields: 5 of 98
  • Management Science and Operations Research 493
  • Statistics and Probability 130
  • Computer Networks and Communications 294
  • Experimental and Cognitive Psychology 137
  • Applied Psychology 49
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Countries citing papers authored by Barbara G. Dodd

Since Specialization
Citations

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

Fields of papers citing papers by Barbara G. Dodd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara G. Dodd. 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 Barbara G. Dodd. The network helps show where Barbara G. Dodd may publish in the future.

Co-authors

The 25 scholars most cited alongside Barbara G. Dodd, 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 Barbara G. Dodd Line = papers co-authored together Barbara G. Dodd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199591
2 201054
3 198954
4 199046
5 200638
6 198934
7 198734
8
College Outcomes Comparisons by AP and Non-AP High School Experiences
200832
9 199332
10 200231
11 200329
12 199826
13
Parameter recovery for the partial credit model using MULTILOG.
199724
14
An Investigation of the Validity of AP Grades of 3 and a Comparison of AP and Non-AP Student Groups
200224
15 199123
16 200520
17
Strategies for controlling testlet exposure rates in computerized adaptive testing systems
200319
18
A Comparison of College Performances of AP and Non-AP Student Groups in 10 Subject Areas
200817
19 200316
20 199216

About Barbara G. Dodd

Barbara G. Dodd is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Statistics and Probability, Social Psychology and Statistics, Probability and Uncertainty, having authored 60 papers that have together received 900 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (40 papers), Advanced Statistical Modeling Techniques (30 papers), Statistical Methods and Bayesian Inference (5 papers), Grit, Self-Efficacy, and Motivation (5 papers), Statistical Methods in Clinical Trials (4 papers), Reliability and Agreement in Measurement (4 papers), Software Reliability and Analysis Research (3 papers) and VLSI and Analog Circuit Testing (3 papers). The work is most often cited by research in Management Science and Operations Research (493 citations), Statistics and Probability (130 citations), Computer Networks and Communications (294 citations), Experimental and Cognitive Psychology (137 citations) and Applied Psychology (49 citations). Barbara G. Dodd has collaborated with scholars based in United States and South Korea. Frequent co-authors include William R. Koch, R. J. De Ayala, Seung W. Choi, Karon F. Cook, Tiffany A. Whittaker, Dena A. Pastor, Ssu‐Kuang Chen, Hua-Hua Chang, Patrick R. Clifford and Elizabeth W. Edmundson. Their work appears in journals such as Applied Psychological Measurement, Educational and Psychological Measurement, Applied Measurement in Education, Behavior Research Methods and Journal of Consulting and Clinical Psychology.

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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