Jeffrey A. Menlo Park Dean

Jeffrey A. Menlo Park Dean's AcademicInfluence.com Rankings

Computer Science

#5229

World Rank

#5523

Historical Rank

Database

#2381

World Rank

#2496

Historical Rank

computer-science Degrees

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Computer Science

Jeffrey A. Menlo Park Dean's Degrees

PhD Computer Science Stanford University

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Best Online PhD of Computer Science (Doctorates) 2026

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Jeffrey A. Menlo Park Dean's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Distributed Representations of Words and Phrases and their Compositionality (2013) (29321)
Efficient Estimation of Word Representations in Vector Space (2013) (25689)
TensorFlow: A system for large-scale machine learning (2016) (14989)
Distilling the Knowledge in a Neural Network (2015) (11818)
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016) (9876)
Bigtable: A Distributed Storage System for Structured Data (2006) (5587)
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016) (5457)
In-datacenter performance analysis of a tensor processing unit (2017) (3601)
Large Scale Distributed Deep Networks (2012) (3316)
DeViSE: A Deep Visual-Semantic Embedding Model (2013) (2243)
Building high-level features using large scale unsupervised learning (2011) (2207)
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (2016) (1662)
The tail at scale (2013) (1476)
Spanner: Google's Globally-Distributed Database (2012) (1420)
MapReduce: a flexible data processing tool (2010) (1366)
Web Search for a Planet: The Google Cluster Architecture (2003) (1089)
Zero-Shot Learning by Convex Combination of Semantic Embeddings (2013) (855)
Optimization of Object-Oriented Programs Using Static Class Hierarchy Analysis (1995) (720)
The Case for Learned Index Structures (2017) (696)
Finding Related Pages in the World Wide Web (1999) (586)
Large Language Models in Machine Translation (2007) (565)
On rectified linear units for speech processing (2013) (516)
Continuous profiling: where have all the cycles gone? (1997) (380)
Call graph construction in object-oriented languages (1997) (342)
Multilingual acoustic models using distributed deep neural networks (2013) (314)
Continuous profiling: where have all the cycles gone? (1997) (306)
ProfileMe: hardware support for instruction-level profiling on out-of-order processors (1997) (274)
Challenges in building large-scale information retrieval systems: invited talk (2009) (216)
Designs, Lessons and Advice from Building Large Distributed Systems (2009) (163)
Vortex: an optimizing compiler for object-oriented languages (1996) (151)
Keynote talk: Experiences with MapReduce, an abstraction for large-scale computation (2006) (130)
Selective specialization for object-oriented languages (1995) (129)
Profile-guided receiver class prediction (1995) (116)
A Comparison of Techniques to Find Mirrored Hosts on the WWW (2000) (109)
Towards better inlining decisions using inlining trials (1994) (90)
Whole-program optimization of object-oriented languages (1996) (85)
Spanner (2013) (68)
1.1 The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design (2019) (54)
A Framework for Selective Recompilation in the Presence of Complex Intermodule Dependencies (1995) (45)
’ s Globally-Distributed Database (2012) (43)
Pathways: Asynchronous Distributed Dataflow for ML (2022) (37)
Frameworks for Intra- and Interprocedural Dataflow Analysis (1998) (33)
Distributed Programming with MapReduce (2007) (30)
Evolution and future directions of large-scale storage and computation systems at Google (2010) (28)
Identifying Profitable Specialization in Object-Oriented Languages (1994) (27)
Back-off language model compression (2009) (23)
Transparent, low-overhead profiling on modern processors (1998) (22)
The Swift Java Compiler: Design and Implementation (2002) (19)
Using Web Co-occurrence Statistics for Improving Image Categorization (2013) (18)
Large-Scale Deep Learning For Building Intelligent Computer Systems (2016) (17)
ProJiZeMe: Hardware Support for Instruction-Level on Out-of-Order Processors (1997) (9)
DLVM: A MODERN COMPILER FRAMEWORK FOR NEURAL NETWORK DSLS (2017) (8)
MapReduce and Other Building Blocks for Large-Scale Distributed Systems at Google (2007) (7)
Measurement and Application of Dynamic Receiver Class Distributions (2007) (7)
The rise of cloud computing systems (2015) (6)
Training Compilers to Make Better Inlining Decisions (1993) (5)
A Golden Decade of Deep Learning: Computing Systems & Applications (2022) (4)
MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs. (2010) (3)
LPI Linux Certification in a Nutshell (2001) (1)
2000 / 2 The Swift Java Compiler : Design and Implementation (2000) (0)
1 Identifying Profitable Specialization in Object-Oriented Languages (2013) (0)
OPTIMISATION D'ARCHITECTURES DE RÉSEAU NEURONAL (2018) (0)
1 Expressive , Efficient Instance Variables (1996) (0)
Arrangement for arbitrary sampling instructions in a processor pipeline (1998) (0)
LPI Linux Certification in a Nutshell (In a Nutshell (O'Reilly)) (2006) (0)
LPI Linux certification - in a nutshell: a desktop quick reference: pass the LPIC-1 and LPIC-2 exams, 2nd Edition (2006) (0)
System and method for optimizing performance of a computer system (1998) (0)
ABBET: an introduction (1994) (0)
LPI Linux certification in a nutshell - a desktop quick reference: covers exams 101 102 for LPI level 1 (2001) (0)
Arrangement for sampling a plurality of instructions in a processor pipeline (1998) (0)
MapReduce: Simpli(cid:2)ed Data Processing on Large Clusters (0)