Most cited papers from Amazon (United States)
What are the most cited papers from Amazon (United States)?
The most cited paper from Amazon (United States) is "Array programming with NumPy" (Charles R. Harris et al., 2020), with 23,885 citations. Next come "Dynamo" (3,469) and "VL2" (2,121).
Showing 50 of 60 papers. Every paper with more than 346 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Array programming with NumPy Charles R. Harris et al. · Nature | 16 Sep 2020 | 23,885 |
| 2 | Dynamo Giuseppe DeCandia, Deniz Hastorun, Madan Jampani et al. | 14 Oct 2007 | 3,469 |
| 3 | VL2 Albert G. Greenberg, James Russell Hamilton, Navendu Jain et al. | 16 Aug 2009 | 2,121 |
| 4 | Towards Total Recall in Industrial Anomaly Detection Karsten Roth, Latha Pemula, Joaquin Zepeda et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 1,632 |
| 5 | Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He, Zhi Zhang, Hang Zhang et al. | Jun 2019 | 1,589 |
| 6 | Long-Time-Step Molecular Dynamics through Hydrogen Mass Repartitioning Chad W. Hopkins, Scott Le Grand, Ross C. Walker et al. · Journal of Chemical Theory and Computation | 16 Mar 2015 | 1,573 |
| 7 | ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | Jun 2022 | 1,326 |
| 8 | Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey Bonan Min, Hayley Ross, Elior Sulem et al. · ACM Computing Surveys | 27 Jun 2023 | 1,295 |
| 9 | SPFP: Speed without compromise—A mixed precision model for GPU accelerated molecular dynamics simulations Scott Le Grand, Andreas W. Götz, Ross C. Walker · Computer Physics Communications | 25 Sep 2012 | 1,154 |
| 10 | Dynamo Giuseppe DeCandia, Deniz Hastorun, Madan Jampani et al. · ACM SIGOPS Operating Systems Review | 14 Oct 2007 | 1,143 |
| 11 | An Introduction to Input/Output Automata Nancy Ann Lynch, Mark R. Tuttle · Formal Aspects of Computing | 27 Jan 2026 | 1,020 |
| 12 | Eventually consistent Werner Vogels · Communications of the ACM | 23 Dec 2008 | 1,019 |
| 13 | Vision Transformer with Deformable Attention Zhuofan Xia, Xuran Pan, Shiji Song et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 951 |
| 14 | Temporal Segment Networks for Action Recognition in Videos Limin Wang, Yuanjun Xiong, Zhe Wang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 3 Sep 2018 | 925 |
| 15 | Potential Net Primary Productivity in South America: Application of a Global Model James W. Raich, Edward B. Rastetter, Jerry M. Melillo et al. · Ecological Applications | Nov 1991 | 916 |
| 16 | Sampling Matters in Deep Embedding Learning Chao-Yuan Wu, Raghaven Manmatha, Alexander Johannes Smola et al. | Oct 2017 | 897 |
| 17 | Convolutional Occupancy Networks Songyou Peng, Michael Niemeyer, Lars Mescheder et al. · Lecture notes in computer science | 2020 | 822 |
| 18 | The QUIC Transport Protocol Adam Langley et al. | 4 Aug 2017 | 821 |
| 19 | Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoțiuc-Pietro et al. · PeerJ Computer Science | 24 Oct 2016 | 814 |
| 20 | Sparse Convolutional Neural Networks Baoyuan Liu, Min Wang, Hassan Foroosh et al. | Jun 2015 | 752 |
| 21 | VL2 Albert G. Greenberg, James Russell Hamilton, Navendu Jain et al. · ACM SIGCOMM Computer Communication Review | 16 Aug 2009 | 709 |
| 22 | A reconfigurable fabric for accelerating large-scale datacenter services Andrew R. Putnam et al. · ACM SIGARCH Computer Architecture News | 14 Jun 2014 | 709 |
| 23 | MeshCNN Rana Hanocka, Amir Hertz, Noa Fish et al. · ACM Transactions on Graphics | 12 Jul 2019 | 706 |
| 24 | Soybean cultivation as a threat to the environment in Brazil Philip M. Fearnside · Environmental Conservation | Mar 2001 | 704 |
| 25 | Region Proposal by Guided Anchoring Jiaqi Wang, Kai Chen, Shuo Yang et al. | Jun 2019 | 700 |
| 26 | An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools Ivano Lauriola, Alberto Lavelli, Fabio Aiolli · Neurocomputing | 22 Jul 2021 | 698 |
| 27 | SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) Marcos Zampieri, Shervin Malmasi, Preslav Nakov et al. | 2019 | 696 |
| 28 | Variational Information Distillation for Knowledge Transfer Sungsoo Ahn, Shell Xu Hu, Andreas Damianou et al. | Jun 2019 | 677 |
| 29 | Two Decades of Recommender Systems at Amazon.com Brent Smith, Greg Linden · IEEE Internet Computing | May 2017 | 668 |
| 30 | SUPERB: Speech Processing Universal PERformance Benchmark Shu-Wen Yang, Po-Han Chi, Yung-Sung Chuang et al. | 27 Aug 2021 | 664 |
| 31 | ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features Yue Wu, Wael AbdAlmageed, Prem Natarajan | Jun 2019 | 646 |
| 32 | OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations Pramuditha Perera, Ramesh M. Nallapati, Bing Xiang | Jun 2019 | 571 |
| 33 | Route Planning in Transportation Networks Hannah Bast, Daniel Delling, Andy Goldberg et al. · Lecture notes in computer science | 2016 | 570 |
| 34 | Trustworthy AI: From Principles to Practices Bo Li, Peng Qi, Bo Liu et al. · ACM Computing Surveys | 18 Aug 2022 | 559 |
| 35 | Compositional response of Amazon forests to climate change Adriane Esquivel‐Muelbert et al. · Global Change Biology | 8 Nov 2018 | 509 |
| 36 | Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond Jingfeng Yang, Hongye Jin, Ruixiang Tang et al. · ACM Transactions on Knowledge Discovery from Data | 28 Feb 2024 | 498 |
| 37 | The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings Austin C. Kozlowski, Matt Taddy, James A. Evans · American Sociological Review | 25 Sep 2019 | 498 |
| 38 | Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network Manoochehr Ghiassi, J.F. Skinner, David K. Zimbra · Expert Systems with Applications | 29 May 2013 | 489 |
| 39 | Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling Paris Perdikaris, Maziar Raissi, Andreas Damianou et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences | Feb 2017 | 458 |
| 40 | Deep State Space Models for Time Series Forecasting Syama Sundar Rangapuram, Matthias Seeger, Jan Gasthaus et al. · Neural Information Processing Systems | 2018 | 438 |
| 41 | Transparency and trust in artificial intelligence systems Philipp S. Schmidt, Felix Bießmann, Timm Teubner · Journal of Decision System | 10 Sep 2020 | 436 |
| 42 | Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao, Wenqi Fan, Jiatong Li et al. · IEEE Transactions on Knowledge and Data Engineering | 22 Apr 2024 | 427 |
| 43 | Comparison and benchmark of name-to-gender inference services L. Santamaría, Helena Mihaljević · PeerJ Computer Science | 16 Jul 2018 | 417 |
| 44 | The Global Distribution of Economic Activity: Nature, History, and the Role of Trade1 J. Vernon Henderson, Tim Squires, Adam Storeygard et al. · The Quarterly Journal of Economics | 7 Sep 2017 | 409 |
| 45 | The Amazon Tall Tower Observatory (ATTO): overview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols Meinrat Otto Andreae et al. · Atmospheric chemistry and physics | 28 Sep 2015 | 409 |
| 46 | Diversity and carbon storage across the tropical forest biome Martin J. P. Sullivan et al. · Scientific Reports | 17 Jan 2017 | 405 |
| 47 | Endemism centres, refugia and botanical collection density in Brazilian Amazonia Bruce Nelson, Carlos Alberto Cid Ferreira, Marlene F. da Silva et al. · Nature | Jun 1990 | 401 |
| 48 | Measuring Group Differences in High‐Dimensional Choices: Method and Application to Congressional Speech Matthew Aaron Gentzkow, Jesse M. Shapiro, Matt A. Taddy · Econometrica | 2019 | 397 |
| 49 | Variational Reasoning for Question Answering With Knowledge Graph Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 26 Apr 2018 | 396 |
| 50 | Fast Forward Selection to Speed Up Sparse Gaussian Process Regression Matthias Seeger, Christopher K. I. Williams, Neil David Lawrence · Infoscience (Ecole Polytechnique Fédérale de Lausanne) | 2003 | 389 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.