David Heckerman

188 papers and 15.0k indexed citations i.

About

David Heckerman is a scholar working on Artificial Intelligence, Molecular Biology and Virology. According to data from OpenAlex, David Heckerman has authored 188 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 61 papers in Molecular Biology and 60 papers in Virology. Recurrent topics in David Heckerman’s work include HIV Research and Treatment (60 papers), Bayesian Modeling and Causal Inference (52 papers) and vaccines and immunoinformatics approaches (34 papers). David Heckerman is often cited by papers focused on HIV Research and Treatment (60 papers), Bayesian Modeling and Causal Inference (52 papers) and vaccines and immunoinformatics approaches (34 papers). David Heckerman collaborates with scholars based in United States, United Kingdom and South Africa. David Heckerman's co-authors include Dan Geiger, David M. Chickering, Carl Kadie, Eric Horvitz, David Maxwell Chickering, Jennifer Listgarten, Mehran Sahami, Susan Dumais, Christoph Lippert and Christopher Meek and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of David Heckerman i

Fields of papers citing papers by David Heckerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Heckerman

Since Specialization
Citations

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