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).
Fields of papers published by authors at Amazon (United States)
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.
About Amazon (United States)
In recent decades, authors affiliated with Amazon (United States) have published 6.1k papers, which have received a total of 93.3k indexed citations . Scholars at this organization have produced 2.1k papers in Artificial Intelligence, 460 papers in Signal Processing, 840 papers in Computer Vision and Pattern Recognition, 115 papers in Forestry and 625 papers in Information Systems on the topics of Topic Modeling (777 papers), Natural Language Processing Techniques (559 papers), Multimodal Machine Learning Applications (244 papers), Speech Recognition and Synthesis (225 papers), Speech and dialogue systems (172 papers), Domain Adaptation and Few-Shot Learning (168 papers), Music and Audio Processing (166 papers) and Speech and Audio Processing (155 papers). Their work is cited by papers focused on Artificial Intelligence (28.5k citations), Computer Vision and Pattern Recognition (15.9k citations), Computer Networks and Communications (13.2k citations), Signal Processing (6.2k citations) and Information Systems (11.8k citations). Authors at Amazon (United States) collaborate with scholars in United States, Brazil and Germany and have published in prestigious journals including IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the ACM on Programming Languages, Lecture notes in computer science and Proceedings of the VLDB Endowment. Some of Amazon (United States)'s most productive authors include Philip M. Fearnside, Ross C. Walker, Swaminathan Sivasubramanian, Werner Vogels, Hang Zhang, Sudipta Sengupta, Andreas W. Götz, James Russell Hamilton, Navendu Jain and Changhoon Kim.
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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