Sanjay Ghemawat
Computer Networks and Communications · 2003–2025
A researcher in the Science corpus: 12 papers; trusts 2 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 69 citations into it; #1,562 of 9,886 by trust here, #641 by citations
- ML Systems & Hardware — 69 citations into it; #135 of 575 by trust here, #18 by citations
- Information Systems — 62 citations into it; #2,912 of 8,771 by trust here, #18 by citations
- Hardware and Architecture — 53 citations into it; #1,454 of 1,551 by trust here, #6 by citations
Whom Sanjay Ghemawat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sanjay Ghemawat overall
- Jimmy J. Lin
- Ronald C. Taylor
- Robbert van Renesse
- Karthik Nagaraj
- Zhi-Dan Zhao
- Sebastian Raschka
- Swanand Ravindra Kadhe
- Eyal Oren
- Yunhong Zhou
- Chris Dyer
Papers from Sanjay Ghemawat's perspective
Ordered by how strongly the researchers Sanjay Ghemawat trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- ImageNet classification with deep convolutional neural networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- TensorFlow: A system for large-scale machine learning (2016) — 19,838 citations
- PaLM: Scaling Language Modeling with Pathways (2022) — 8,214 citations
- Dynamic control flow in large-scale machine learning (2018) — 112 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Pathways: Asynchronous Distributed Dataflow for ML (2022) — 159 citations
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016) — 11,798 citations
- Spanner: Google's Globally-Distributed Database (2012) — 1,654 citations
- MapReduce: a flexible data processing tool (2010) — 1,429 citations
- Bigtable: A Distributed Storage System for Structured Data (2008) — 623 citations
- Bigtable: a distributed storage system for structured data (2006) — 5,721 citations
- MapReduce: Simplified Data Processing on Large Cluster (2004) — 307 citations
- The Google file system (2003) — 1,960 citations