Holly Wiberg

11 papers and 351 indexed citations i.

About

Holly Wiberg is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Holly Wiberg has authored 11 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Infectious Diseases. Recurrent topics in Holly Wiberg’s work include COVID-19 Clinical Research Studies (3 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (2 papers). Holly Wiberg is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (2 papers). Holly Wiberg collaborates with scholars based in United States, Spain and Italy. Holly Wiberg's co-authors include Dimitris Bertsimas, Agni Orfanoudaki, Daniel Freund, Shane G. Henderson, Luis R. Soenksen, Yu Ma, Léonard Boussioux, Michael Lingzhi Li, Ignacio Fuentes and Michelle Schneider and has published in prestigious journals such as PLoS ONE, Operations Research and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Holly Wiberg i

Fields of papers citing papers by Holly Wiberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Holly Wiberg

Since Specialization
Citations

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