Harlan Campbell

35 papers and 276 indexed citations i.

About

Harlan Campbell is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Modeling and Simulation. According to data from OpenAlex, Harlan Campbell has authored 35 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 7 papers in Statistics, Probability and Uncertainty and 6 papers in Modeling and Simulation. Recurrent topics in Harlan Campbell’s work include Advanced Causal Inference Techniques (6 papers), COVID-19 epidemiological studies (6 papers) and Meta-analysis and systematic reviews (6 papers). Harlan Campbell is often cited by papers focused on Advanced Causal Inference Techniques (6 papers), COVID-19 epidemiological studies (6 papers) and Meta-analysis and systematic reviews (6 papers). Harlan Campbell collaborates with scholars based in Canada, United States and Germany. Harlan Campbell's co-authors include S Gove, Elizabeth Molyneux, Giorgio Tamburlini, Paul Gustafson, Ian Jones, C. B. Dean, Daniël Lakens, Scott Macdonald, Mike Jackson and Thomas P. A. Debray and has published in prestigious journals such as The Lancet, PLoS ONE and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Harlan Campbell i

Fields of papers citing papers by Harlan Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Harlan Campbell

Since Specialization
Citations

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

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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2025