Karen Samuelsen
- Education top 5%
- Sociology and Political Science top 10%
- Clinical Psychology top 10%
- Social Psychology top 10%
- Statistics and Probability top 2%
- Co-authors
- Gregory R. HancockRobert W. LissitzSu‐I HouChristopher C. WhalenDuncan MacKellarDamian J. DensonTravis SanchezAmanda Smith
- Topics
- HIV, Drug Use, Sexual Risk (3 papers)HIV/AIDS Research and Interventions (3 papers)Psychometric Methodologies and Testing (3 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchExperimental and Cognitive Psychology
- Partner nations
- United States
In The Last Decade
Karen Samuelsen
9 papers receiving 955 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Education 208
- Sociology and Political Science 182
- Clinical Psychology 179
- Social Psychology 169
- Statistics and Probability 147
Countries citing papers authored by Karen Samuelsen
This map shows the geographic impact of Karen Samuelsen'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 Karen Samuelsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Samuelsen more than expected).
Fields of papers citing papers by Karen Samuelsen
This network shows the impact of papers produced by Karen Samuelsen. 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 Karen Samuelsen. The network helps show where Karen Samuelsen may publish in the future.
Co-authorship network of co-authors of Karen Samuelsen
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Samuelsen. A scholar is included among the top collaborators of Karen Samuelsen 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 Karen Samuelsen. Karen Samuelsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 117 | |
| 5 | 19 | |
| 6 | 154 | |
| 7 | 19 | |
| 8 | Advances in Latent Variable Mixture Modelsbreakdown → | 671 |
| 9 | Analyzing the Structure of Binary Test Responses Using an Optimal Scaling Approach. | 1 |
About Karen Samuelsen
Karen Samuelsen is a scholar working on Management Science and Operations Research, Virology and Infectious Diseases, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (3 papers), HIV/AIDS Research and Interventions (3 papers) and Psychometric Methodologies and Testing (3 papers). The work is most often cited by research in Statistics and Probability (147 citations), Management Science and Operations Research (132 citations) and Experimental and Cognitive Psychology (131 citations). Karen Samuelsen has collaborated with scholars based in United States. Frequent co-authors include Gregory R. Hancock, Robert W. Lissitz, Su‐I Hou, Christopher C. Whalen, Duncan MacKellar, Damian J. Denson, Travis Sanchez, Amanda Smith, Patrick S. Sullivan and Amy Lansky. Their work appears in journals such as Educational Researcher, AIDS and Behavior and Sexually Transmitted Diseases.
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.