Robert D. Ankenmann
- Social Psychology top 5%
- Management Science and Operations Research top 2%
- Computer Networks and Communications top 10%
- Sociology and Political Science top 10%
- Clinical Psychology top 10%
- Co-authors
- Daniel L. ClayLeonard S. FeldtJudith A. SprayShuying ChenClement A. StoneSuzanne LaneShu-Ying ChenStephen B. Dunbar
- Topics
- Psychometric Methodologies and Testing (10 papers)Advanced Statistical Modeling Techniques (7 papers)Cognitive Abilities and Testing (3 papers)
- Partner nations
- United States
In The Last Decade
Robert D. Ankenmann
17 papers receiving 635 citations
Peers
Comparison fields: 5 of 75
- Social Psychology 319
- Management Science and Operations Research 281
- Computer Networks and Communications 162
- Sociology and Political Science 117
- Clinical Psychology 112
Countries citing papers authored by Robert D. Ankenmann
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
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-authorship network of co-authors of Robert D. Ankenmann
This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Ankenmann. A scholar is included among the top collaborators of Robert D. Ankenmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert D. Ankenmann. Robert D. Ankenmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 58 | |
| 5 | 27 | |
| 6 | 60 | |
| 7 | 311 | |
| 8 | 36 | |
| 9 | Exploring the Relationship between Item Exposure Rate and Test Overlap Rate in Computerized Adaptive Testing. | 18 |
| 10 | 61 | |
| 11 | 33 | |
| 12 | Equating Test Forms Composed of Testlets Using Dichotomous and Polytomous IRT Models. | 2 |
| 13 | 23 | |
| 14 | 51 | |
| 15 | 18 | |
| 16 | 23 | |
| 17 | A Monte Carlo Study of Marginal Maximum Likelihood Parameter Estimates for the Graded Model. | 3 |
About Robert D. Ankenmann
Robert D. Ankenmann is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 17 papers that have together received 741 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (7 papers) and Cognitive Abilities and Testing (3 papers). The work is most often cited by research in Management Science and Operations Research (281 citations), Social Psychology (319 citations) and Statistics and Probability (80 citations). Robert D. Ankenmann has collaborated with scholars based in United States. Frequent co-authors include Daniel L. Clay, Leonard S. Feldt, Judith A. Spray, Shuying Chen, Clement A. Stone, Suzanne Lane, Shu-Ying Chen, Stephen B. Dunbar, Hua-Hua Chang and Mei Liu. Their work appears in journals such as Psychological Methods, Journal of Counseling Psychology and Applied Psychological Measurement.
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.