Katherine Halvorsen

34 total papers · 1.4k total citations
19 papers, 1.0k citations indexed

About

Katherine Halvorsen is a scholar working on Statistics and Probability, Molecular Biology and Physiology. According to data from OpenAlex, Katherine Halvorsen has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Katherine Halvorsen's work include Advanced Causal Inference Techniques (2 papers), Statistical Methods in Clinical Trials (2 papers) and Bee Products Chemical Analysis (1 paper). Katherine Halvorsen is often cited by papers focused on Advanced Causal Inference Techniques (2 papers), Statistical Methods in Clinical Trials (2 papers) and Bee Products Chemical Analysis (1 paper). Katherine Halvorsen collaborates with scholars based in United States, Canada and Latvia. Katherine Halvorsen's co-authors include Michele Pagano, Ross L. Prentice, N. E. Breslow, Nicholas Day, William M. Mendenhall, Robert J. Beaver, Johanna Dwyer, Isabelle Valadian, Elizabeth A. Krall and Amy Cohen and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Katherine Halvorsen

18 papers receiving 966 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katherine Halvorsen 140 137 119 115 84 19 1.0k
S. H. Heisterkamp 204 1.5× 59 0.4× 104 0.9× 71 0.6× 86 1.0× 31 1.1k
Jun‐mo Nam 96 0.7× 366 2.7× 84 0.7× 56 0.5× 43 0.5× 55 1.1k
Richard D. Remington 116 0.8× 70 0.5× 49 0.4× 101 0.9× 92 1.1× 28 1.2k
Donald G. Thomas 57 0.4× 256 1.9× 70 0.6× 78 0.7× 30 0.4× 25 828
Nadine Binder 131 0.9× 74 0.5× 102 0.9× 48 0.4× 69 0.8× 31 971
Shande Chen 161 1.1× 181 1.3× 189 1.6× 83 0.7× 77 0.9× 47 1.1k
Keewhan Choi 143 1.0× 138 1.0× 112 0.9× 145 1.3× 119 1.4× 22 994
Kyu Ha Lee 177 1.3× 114 0.8× 57 0.5× 129 1.1× 133 1.6× 34 829
Billy Amzal 125 0.9× 254 1.9× 50 0.4× 53 0.5× 34 0.4× 49 1.2k
P. Joanne Cornbleet 114 0.8× 41 0.3× 111 0.9× 86 0.7× 141 1.7× 26 944

Countries citing papers authored by Katherine Halvorsen

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Halvorsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine Halvorsen. 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 Katherine Halvorsen. The network helps show where Katherine Halvorsen may publish in the future.

Co-authorship network of co-authors of Katherine Halvorsen

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Halvorsen. A scholar is included among the top collaborators of Katherine Halvorsen 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 Katherine Halvorsen. Katherine Halvorsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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