Sequoia (United States)

384 papers and 39.9k indexed citations i.

About

In recent decades, authors affiliated with Sequoia (United States) have published 384 papers, which have received a total of 39.9k indexed citations. Scholars at this organization have produced 77 papers in Statistics and Probability, 65 papers in Global and Planetary Change and 57 papers in Ecology on the topics of Fire effects on ecosystems (48 papers), Statistical Methods and Inference (35 papers) and Ecology and Vegetation Dynamics Studies (30 papers). Their work is cited by papers focused on Molecular Biology (9.1k citations), Artificial Intelligence (5.4k citations) and Ecology (4.7k citations). Authors at Sequoia (United States) collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Sequoia (United States)'s most productive authors include Trevor Hastie, Robert Tibshirani, J. Friedman, Bradley Efron, Elisabeth M. Bik, Steven R. Gill, William Nelson, Elizabeth Purdom, Paul B. Eckburg and David A. Relman.

In The Last Decade

Fields of papers published by authors at Sequoia (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Sequoia (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Sequoia (United States) at the time of their publication.

Countries citing scholars working at Sequoia (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Sequoia (United States). 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 papers produced at Sequoia (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sequoia (United States) 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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