David N. Reshef

7 papers and 2.2k indexed citations i.

About

David N. Reshef is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, David N. Reshef has authored 7 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 1 paper in Molecular Biology. Recurrent topics in David N. Reshef’s work include Bayesian Modeling and Causal Inference (4 papers), Advanced Statistical Methods and Models (3 papers) and Respiratory viral infections research (1 paper). David N. Reshef is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Advanced Statistical Methods and Models (3 papers) and Respiratory viral infections research (1 paper). David N. Reshef collaborates with scholars based in United States, United Kingdom and Australia. David N. Reshef's co-authors include Pardis C. Sabeti, Yakir Reshef, Michael Mitzenmacher, Hilary K. Finucane, Peter J. Turnbaugh, Sharon R. Grossman, Gil McVean, Eric S. Lander, Marc Lipsitch and Edward Goldstein and has published in prestigious journals such as Science, Emerging infectious diseases and Cognitive Science.

In The Last Decade

Co-authorship network of co-authors of David N. Reshef i

Fields of papers citing papers by David N. Reshef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David N. Reshef

Since Specialization
Citations

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