Dan Geiger

167 total papers · 18.1k total citations
81 papers, 8.3k citations indexed

About

Dan Geiger is a scholar working on Artificial Intelligence, Genetics and Molecular Biology. According to data from OpenAlex, Dan Geiger has authored 81 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 26 papers in Genetics and 20 papers in Molecular Biology. Recurrent topics in Dan Geiger’s work include Bayesian Modeling and Causal Inference (34 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 (34 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, Omer Weissbrod, Gadi Schuster and Shimyn Slomovic and has published in prestigious journals such as Science, Nature Genetics and Bioinformatics.

Co-authorship network of co-authors of Dan Geiger

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Geiger. A scholar is included among the top collaborators of Dan Geiger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Geiger. Dan Geiger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Dan Geiger

79 papers receiving 7.8k citations

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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