Amazon (Germany)

1.0k papers and 16.0k indexed citations i.

About

In recent decades, authors affiliated with Amazon (Germany) have published 1.0k papers, which have received a total of 16.0k indexed citations. Scholars at this organization have produced 326 papers in Artificial Intelligence, 176 papers in Computer Vision and Pattern Recognition and 102 papers in Economics and Econometrics on the topics of Topic Modeling (125 papers), Natural Language Processing Techniques (83 papers) and Multimodal Machine Learning Applications (49 papers). Their work is cited by papers focused on Artificial Intelligence (5.2k citations), Computer Vision and Pattern Recognition (4.5k citations) and Economics and Econometrics (1.6k citations). Authors at Amazon (Germany) collaborate with scholars in Germany, United States and Brazil and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nature Communications and Environmental Science & Technology. Some of Amazon (Germany)'s most productive authors include Matt Post, Werner Vogels, Domenico Giannone, Tim Januschowski, Jan Gasthaus, David Salinas, Valentín Flunkert, Lucrezia Reichlin, Matt Taddy and Michèle Lenza.

In The Last Decade

Fields of papers published by authors at Amazon (Germany)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Amazon (Germany)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Amazon (Germany). 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 (Germany) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amazon (Germany) 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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2025