Katherine Heller

47 papers and 1.3k indexed citations i.

About

Katherine Heller is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Katherine Heller has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Signal Processing. Recurrent topics in Katherine Heller’s work include Bayesian Methods and Mixture Models (13 papers), Machine Learning in Healthcare (6 papers) and Statistical Methods and Inference (5 papers). Katherine Heller is often cited by papers focused on Bayesian Methods and Mixture Models (13 papers), Machine Learning in Healthcare (6 papers) and Statistical Methods and Inference (5 papers). Katherine Heller collaborates with scholars based in United States, United Kingdom and Canada. Katherine Heller's co-authors include Zoubin Ghahramani, Mark Sendak, Charles Blundell, Jenna Wiens, Suchi Saria, Jean–Louis Vincent, David C. Kale, Sonoo Thadaney-Israni, Kenneth Jung and Pilar N. Ossorio and has published in prestigious journals such as Nature Medicine, Nature Communications and Psychological Review.

In The Last Decade

Co-authorship network of co-authors of Katherine Heller i

Fields of papers citing papers by Katherine Heller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katherine Heller

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025