Robert D. Ankenmann

1.0k citations
17 papers · 745 · h-index 12

Impact in

Papers in

Robert D. Ankenmann

17 papers receiving 639 citations

Peers

Robert D. Ankenmann
Comparison fields: 5 of 72
  • Management Science and Operations Research 280
  • Social Psychology 315
  • Statistics and Probability 76
  • Applied Psychology 42
  • Computer Networks and Communications 162
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Citations per field
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Citations per year

Countries citing papers authored by Robert D. Ankenmann

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Ankenmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Ankenmann. 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 Robert D. Ankenmann. The network helps show where Robert D. Ankenmann may publish in the future.

Co-authors

The 14 scholars most cited alongside Robert D. Ankenmann, 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 Robert D. Ankenmann Line = papers co-authored together Robert D. Ankenmann links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2000314
2 199961
3 200060
4 200358
5 199651
6 200037
7 199933
8 200127
9 199823
10 199423
11 199518
12
Exploring the Relationship between Item Exposure Rate and Test Overlap Rate in Computerized Adaptive Testing.
199918
13 200510
14 20106
15
A Monte Carlo Study of Marginal Maximum Likelihood Parameter Estimates for the Graded Model.
19923
16
Equating Test Forms Composed of Testlets Using Dichotomous and Polytomous IRT Models.
19982
17 20071

About Robert D. Ankenmann

Robert D. Ankenmann is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Experimental and Cognitive Psychology, Social Psychology and Developmental and Educational Psychology, having authored 17 papers that have together received 745 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (7 papers), Educational and Psychological Assessments (3 papers), Cognitive Abilities and Testing (3 papers), Multi-Criteria Decision Making (2 papers), Statistical Methods in Clinical Trials (2 papers), Workaholism, burnout, and well-being (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Management Science and Operations Research (280 citations), Social Psychology (315 citations), Statistics and Probability (76 citations), Applied Psychology (42 citations) and Computer Networks and Communications (162 citations). Robert D. Ankenmann has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Daniel L. Clay, Leonard S. Feldt, Judith A. Spray, Shuying Chen, Clement A. Stone, Suzanne Lane, Hua-Hua Chang, Shu-Ying Chen, Stephen B. Dunbar and Mei Liu. Their work appears in journals such as Journal of Educational Measurement, Applied Psychological Measurement, Journal of Counseling Psychology, Psychological Methods and International Journal 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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