Joseph E. Gonzalez
Impact in
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- Graph Theory and Algorithms
- Advanced Neural Network Applications
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
Papers in
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- Domain Adaptation and Few-Shot Learning 15
- Machine Learning and Data Classification 11
- Data Stream Mining Techniques 9
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- Advanced Neural Network Applications 14
- Multimodal Machine Learning Applications 13
- Graph Theory and Algorithms 10
- Co-authors
- Yucheng Low (7 shared papers)Carlos Guestrin (7 shared papers)Danny Bickson (2 shared papers)Ion Stoica (36 shared papers)Michael J. Franklin (4 shared papers)Joseph M. Hellerstein (6 shared papers)Haijie Gu (1 shared paper)Reynold Xin (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (6 papers)IEEE Robotics and Automation Letters (3 papers)Communications of the ACM (3 papers)Computer (1 paper)Queue (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Joseph E. Gonzalez
118 papers receiving 8.1k citations
Joseph E. Gonzalez's Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Vision and Pattern Recognition 3.6k
- Hardware and Architecture 827
- Computer Networks and Communications 2.7k
- Artificial Intelligence 3.7k
- Information Systems 2.5k
Countries citing papers authored by Joseph E. Gonzalez
This map shows the geographic impact of Joseph E. Gonzalez's research. 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 Joseph E. Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph E. Gonzalez more than expected).
Fields of papers citing papers by Joseph E. Gonzalez
This network shows the impact of papers produced by Joseph E. Gonzalez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joseph E. Gonzalez. The network helps show where Joseph E. Gonzalez may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph E. Gonzalez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Apache Spark Hit paper breakdown → | 2016 | 1406 |
| 2 | Distributed GraphLab Hit paper breakdown → | 2012 | 1153 |
| 3 | PowerGraph: distributed graph-parallel computation on natural graphs Hit paper breakdown → | 2012 | 1004 |
| 4 | Efficient Memory Management for Large Language Model Serving with PagedAttention Hit paper breakdown → | 2023 | 414 |
| 5 | GraphX Hit paper breakdown → | 2013 | 353 |
| 6 | A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Hit paper breakdown → | 2020 | 253 |
| 7 | 2018 | 221 | |
| 8 | Frustratingly Simple Few-Shot Object Detection | 2020 | 196 |
| 9 | The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink Hit paper breakdown → | 2022 | 181 |
| 10 | 2020 | 173 | |
| 11 | Clipper: a low-latency online prediction serving system | 2017 | 163 |
| 12 | 2012 | 162 | |
| 13 | Opaque: an oblivious and encrypted distributed analytics platform | 2017 | 139 |
| 14 | 2020 | 131 | |
| 15 | 2021 | 130 | |
| 16 | 2021 | 114 | |
| 17 | 2017 | 107 | |
| 18 | 2013 | 90 | |
| 19 | 2021 | 89 | |
| 20 | Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees | 2011 | 78 |
About Joseph E. Gonzalez
Joseph E. Gonzalez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Control and Systems Engineering, having authored 124 papers that have together received 8.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), Domain Adaptation and Few-Shot Learning (15 papers), Advanced Neural Network Applications (14 papers), Multimodal Machine Learning Applications (13 papers), Machine Learning and Data Classification (11 papers), Graph Theory and Algorithms (10 papers), Data Stream Mining Techniques (9 papers) and Robot Manipulation and Learning (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Hardware and Architecture (827 citations), Computer Networks and Communications (2.7k citations), Artificial Intelligence (3.7k citations) and Information Systems (2.5k citations). Joseph E. Gonzalez has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Yucheng Low, Carlos Guestrin, Danny Bickson, Ion Stoica, Michael J. Franklin, Joseph M. Hellerstein, Haijie Gu, Reynold Xin, Aapo Kyrola and Ankur Dave. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Robotics and Automation Letters, Communications of the ACM, Computer and Queue.
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.