Daniel R. Eignor

53 papers receiving 657 citations

Peers

Daniel R. Eignor
Comparison fields: 5 of 95
  • Management Science and Operations Research 423
  • Statistics and Probability 116
  • Developmental and Educational Psychology 142
  • Computer Networks and Communications 249
  • Education 245
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Citations per year

Countries citing papers authored by Daniel R. Eignor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Eignor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Eignor. 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 Daniel R. Eignor. The network helps show where Daniel R. Eignor may publish in the future.

Co-authors

The 21 scholars most cited alongside Daniel R. Eignor, 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 Daniel R. Eignor Line = papers co-authored together Daniel R. Eignor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199169
2 199965
3 197861
4 199854
5 198851
6 200136
7 201031
8 199330
9 199830
10
Competency Test Development, Validation, and Standard-Setting.
197826
11 198825
12 199825
13 198722
14 199022
15 199020
16 198816
17 201016
18 198815
19 198914
20
NCME Instructional Module: IRT Equating Methods.
199113

About Daniel R. Eignor

Daniel R. Eignor is a scholar working on Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications, Gender Studies and Statistics, Probability and Uncertainty, having authored 54 papers that have together received 832 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (30 papers), Advanced Statistical Modeling Techniques (18 papers), Educational Technology and Assessment (5 papers), Gender and Technology in Education (5 papers), Advanced Statistical Methods and Models (3 papers), Statistics Education and Methodologies (3 papers), Multi-Criteria Decision Making (3 papers) and Reliability and Agreement in Measurement (3 papers). The work is most often cited by research in Management Science and Operations Research (423 citations), Statistics and Probability (116 citations), Developmental and Educational Psychology (142 citations), Computer Networks and Communications (249 citations) and Education (245 citations). Daniel R. Eignor has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Linda L. Cook, Carol Taylor, Joan Jamieson, Irwin S. Kirsch, Ronald K. Hambleton, Neil J. Dorans, Martha L. Stocking, Janice A. Gifford, Hariharan Swaminathan and Alicia P. Schmitt. Their work appears in journals such as Journal of Educational Measurement, Applied Measurement in Education, Educational Measurement Issues and Practice, Review of Educational Research and Language Learning.

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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