2026 Joseph E. Gonzalez: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	61	3005	2916	1474	1418	174	21746

Joseph E. Gonzalez publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Joseph E. Gonzalez sits on this spectrum.

32 publications 991+

This scientist: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Joseph E. Gonzalez D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Joseph E. Gonzalez sits on this spectrum.

30 D-Index 131+

This scientist: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Joseph E. Gonzalez is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering, and Information Systems.

Their scholarly work covers a range of main topics, reflecting diverse interests within computer science. These topics include:

Multimodal Machine Learning Applications
Topic Modeling
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Natural Language Processing Techniques
Reinforcement Learning in Robotics
Robot Manipulation and Learning

Joseph E. Gonzalez has contributed to numerous publications, predominantly appearing in the venue arXiv (Cornell University) with 145 publications. Other frequent publication venues include Proceedings of the VLDB Endowment, IEEE Robotics and Automation Letters, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and IEEE Transactions on Neural Networks and Learning Systems.

Recent papers authored or co-authored include:

"Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena" (2023), published in arXiv (Cornell University)
"A Review of Single-Source Deep Unsupervised Visual Domain Adaptation" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
"The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink" (2022), published in Computer
"Cloudburst" (2020), published in Proceedings of the VLDB Endowment
"What serverless computing is and should become" (2021), published in Communications of the ACM

The scientist has collaborated frequently with several co-authors, including:

Ion Stoica, with 60 joint publications
Ken Goldberg, with 25 joint publications
Trevor Darrell, with 25 joint publications
Brijen Thananjeyan, with 19 joint publications
Tianjun Zhang, with 18 joint publications

Best Publications

Apache Spark: a unified engine for big data processing

Matei Zaharia;Reynold S. Xin;Patrick Wendell;Tathagata Das

2883
Citations
PowerGraph: distributed graph-parallel computation on natural graphs

Joseph E. Gonzalez;Yucheng Low;Haijie Gu;Danny Bickson

2191
Citations
Distributed GraphLab: a framework for machine learning and data mining in the cloud

Yucheng Low;Danny Bickson;Joseph Gonzalez;Carlos Guestrin

1598
Citations
GraphX: graph processing in a distributed dataflow framework

Joseph E. Gonzalez;Reynold S. Xin;Ankur Dave;Daniel Crankshaw

1358
Citations
GraphX: a resilient distributed graph system on Spark

Reynold S. Xin;Joseph E. Gonzalez;Michael J. Franklin;Ion Stoica

888
Citations
Tune: A Research Platform for Distributed Model Selection and Training.

Richard Liaw;Eric Liang;Robert Nishihara;Philipp Moritz

677
Citations
GraphLab: a new framework for parallel machine learning

Yucheng Low;Joseph Gonzalez;Aapo Kyrola;Danny Bickson

649
Citations
SkipNet: Learning Dynamic Routing in Convolutional Networks

Xin Wang;Fisher Yu;Zi-Yi Dou;Trevor Darrell

636
Citations
GraphLab: A New Parallel Framework for Machine Learning

Yucheng Low;Joseph E. Gonzalez;Aapo Kyrola;Danny Bickson

456
Citations
Cloud Programming Simplified: A Berkeley View on Serverless Computing

Eric Jonas;Johann Schleier-Smith;Vikram Sreekanti;Chia-che Tsai

414
Citations
Clipper: a low-latency online prediction serving system

Daniel Crankshaw;Xin Wang;Giulio Zhou;Michael J. Franklin

414
Citations
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

Bichen Wu;Alvin Wan;Xiangyu Yue;Peter Jin

410
Citations
Scalable inference in latent variable models

Amr Ahmed;Moahmed Aly;Joseph Gonzalez;Shravan Narayanamurthy

338
Citations
Opaque: an oblivious and encrypted distributed analytics platform

Wenting Zheng;Ankur Dave;Jethro G. Beekman;Raluca Ada Popa

326
Citations
Serverless Computing: One Step Forward, Two Steps Back.

Joseph M. Hellerstein;Jose M. Faleiro;Joseph E. Gonzalez;Johann Schleier-Smith

313
Citations
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Alvin Wan;Xiaoliang Dai;Peizhao Zhang;Zijian He

311
Citations
Frustratingly Simple Few-Shot Object Detection

Xin Wang;Thomas Huang;Joseph Gonzalez;Trevor Darrell

305
Citations
RLlib: Abstractions for Distributed Reinforcement Learning

Eric Liang;Richard Liaw;Philipp Moritz;Robert Nishihara

303
Citations
Distributed GraphLab: A Framework for Machine Learning in the Cloud

Yucheng Low;Joseph Gonzalez;Aapo Kyrola;Danny Bickson

300
Citations
RLlib: Abstractions for Distributed Reinforcement Learning

Eric Liang;Richard Liaw;Robert Nishihara;Philipp Moritz

284
Citations
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.

Vladimir Feinberg;Alvin Wan;Ion Stoica;Michael I. Jordan

214
Citations

Frequent Co-Authors

Ion Stoica University of California, Berkeley

Ken Goldberg University of California, Berkeley

Joseph M. Hellerstein University of California, Berkeley

Michael I. Jordan University of California, Berkeley

Kurt Keutzer University of California, Berkeley

Carlos Guestrin Stanford University

Trevor Darrell University of California, Berkeley

Fisher Yu ETH Zurich

Michael W. Mahoney University of California, Berkeley

Michael J. Franklin University of Chicago

External Links

Personal website of Joseph E. Gonzalez Google Scholar page

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