Dan Geiger

87 papers and 8.6k indexed citations i.

About

Dan Geiger is a scholar working on Artificial Intelligence, Genetics and Molecular Biology. According to data from OpenAlex, Dan Geiger has authored 87 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 26 papers in Genetics and 21 papers in Molecular Biology. Recurrent topics in Dan Geiger’s work include Bayesian Modeling and Causal Inference (37 papers), Genetic Associations and Epidemiology (18 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Dan Geiger is often cited by papers focused on Bayesian Modeling and Causal Inference (37 papers), Genetic Associations and Epidemiology (18 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Dan Geiger collaborates with scholars based in Israel, United States and United Kingdom. Dan Geiger's co-authors include David Heckerman, David M. Chickering, Nir Friedman, Moisés Goldszmidt, Judea Pearl, Thomas Verma, Christopher Meek, Ann Becker, Omer Weissbrod and Reuven Bar-Yehuda and has published in prestigious journals such as Science, Nature Genetics and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Dan Geiger i

Fields of papers citing papers by Dan Geiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Geiger

Since Specialization
Citations

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