Amazon (United States)

About

In recent decades, authors affiliated with Amazon (United States) have published 3.4k papers, which have received a total of 44.7k indexed citations. Scholars at this organization have produced 789 papers in Artificial Intelligence, 317 papers in Computer Vision and Pattern Recognition and 252 papers in Computer Networks and Communications on the topics of Topic Modeling (184 papers), Natural Language Processing Techniques (138 papers) and Conservation, Biodiversity, and Resource Management (89 papers). Their work is cited by papers focused on Artificial Intelligence (8.0k citations), Global and Planetary Change (4.7k citations) and Computer Vision and Pattern Recognition (4.5k citations). Authors at Amazon (United States) collaborate with scholars in United States, Brazil and United Kingdom and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of Amazon (United States)'s most productive authors include Philip M. Fearnside, Ross C. Walker, Andreas W. Götz, Adrián E. Roitberg, Maurício G. C. Resende, Bruce Nelson, Michael F. Brown, Ivano Lauriola, Alberto Lavelli and Fabio Aiolli.

In The Last Decade

Amazon (United States)

2.8k papers receiving 43.9k citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Amazon (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 Amazon (United States) at the time of their publication.

Countries citing scholars working at Amazon (United States)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Amazon (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 Amazon (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 Amazon (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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