Karen Samuelsen

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Karen Samuelsen is a scholar working on Infectious Diseases, Epidemiology and Management Science and Operations Research. According to data from OpenAlex, Karen Samuelsen has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Management Science and Operations Research. Recurrent topics in Karen Samuelsen's work include HIV, Drug Use, Sexual Risk (3 papers), HIV/AIDS Research and Interventions (3 papers) and Psychometric Methodologies and Testing (3 papers). Karen Samuelsen is often cited by papers focused on HIV, Drug Use, Sexual Risk (3 papers), HIV/AIDS Research and Interventions (3 papers) and Psychometric Methodologies and Testing (3 papers). Karen Samuelsen collaborates with scholars based in United States. Karen Samuelsen's co-authors include Gregory R. Hancock, Robert W. Lissitz, Duncan MacKellar, Su‐I Hou, Christopher C. Whalen, Amanda Smith, Amy Lansky, Damian J. Denson, Patrick S. Sullivan and Travis Sanchez and has published in prestigious journals such as Educational Researcher, AIDS and Behavior and Sexually Transmitted Diseases.

In The Last Decade

Karen Samuelsen

9 papers receiving 955 citations

Hit Papers

Advances in Latent Variable Mixture Models 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karen Samuelsen United States 6 208 182 179 169 147 9 1.0k
Sierra A. Bainter United States 17 108 0.5× 134 0.7× 283 1.6× 207 1.2× 51 0.3× 47 1.0k
Stuart E. Wugalter United States 9 129 0.6× 170 0.9× 153 0.9× 89 0.5× 154 1.0× 9 1.0k
Fetene Tekle Netherlands 15 92 0.4× 127 0.7× 145 0.8× 97 0.6× 119 0.8× 29 837
Kelly L. Rulison United States 18 199 1.0× 246 1.4× 282 1.6× 226 1.3× 52 0.4× 45 962
Robert S. Barcikowski United States 11 119 0.6× 101 0.6× 123 0.7× 123 0.7× 204 1.4× 47 910
Siek Toon Khoo Australia 13 192 0.9× 131 0.7× 289 1.6× 121 0.7× 64 0.4× 23 767
Zsuzsa Bakk Netherlands 13 231 1.1× 292 1.6× 436 2.4× 368 2.2× 228 1.6× 27 1.6k
Miroslav Sirota United Kingdom 20 52 0.3× 276 1.5× 90 0.5× 141 0.8× 95 0.6× 77 1.3k
Corinne M. Mar United States 14 36 0.2× 131 0.7× 107 0.6× 98 0.6× 72 0.5× 17 823
Jehanzeb Cheema United States 16 447 2.1× 161 0.9× 158 0.9× 171 1.0× 65 0.4× 47 1.2k

Countries citing papers authored by Karen Samuelsen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

9 of 9 papers shown
1.
Samuelsen, Karen, et al.. (2013). Latent Class/Profi le Analysis. 316–340. 3 indexed citations
2.
Samuelsen, Karen. (2012). Commentary on Factorial Versus Typological Models: Complementary Evidence in the Model Selection Process. Measurement Interdisciplinary Research and Perspectives. 10(4). 222–224. 1 indexed citations
3.
MacKellar, Duncan, Su‐I Hou, Christopher C. Whalen, et al.. (2011). HIV/AIDS Complacency and HIV Infection Among Young Men Who Have Sex With Men, and the Race-Specific Influence of Underlying HAART Beliefs. Sexually Transmitted Diseases. 38(8). 755–763. 18 indexed citations
4.
MacKellar, Duncan, Su‐I Hou, Christopher C. Whalen, et al.. (2010). Reasons for Not HIV Testing, Testing Intentions, and Potential Use of an Over-the-Counter Rapid HIV Test in an Internet Sample of Men Who Have Sex With Men Who Have Never Tested for HIV. Sexually Transmitted Diseases. 38(5). 419–428. 117 indexed citations
5.
MacKellar, Duncan, Su‐I Hou, Christopher C. Whalen, et al.. (2010). A Plausible Causal Model of HAART-Efficacy Beliefs, HIV/AIDS Complacency, and HIV-Acquisition Risk Behavior Among Young Men Who Have Sex with Men. AIDS and Behavior. 15(4). 788–804. 19 indexed citations
6.
Lissitz, Robert W. & Karen Samuelsen. (2007). A Suggested Change in Terminology and Emphasis Regarding Validity and Education. Educational Researcher. 36(8). 437–448. 154 indexed citations
7.
Lissitz, Robert W. & Karen Samuelsen. (2007). Further Clarification Regarding Validity and Education. Educational Researcher. 36(8). 482–484. 19 indexed citations
8.
Hancock, Gregory R. & Karen Samuelsen. (2007). Advances in Latent Variable Mixture Models. Medical Entomology and Zoology. 671 indexed citations breakdown →
9.
Roberts, James S. & Karen Samuelsen. (2002). Analyzing the Structure of Binary Test Responses Using an Optimal Scaling Approach.. 1 indexed citations

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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