Christopher Ré
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Artificial Intelligence top 0.2%
- Topic Modeling
- Stochastic Gradient Optimization Techniques
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
Papers in
-
- Topic Modeling 21
- Machine Learning and Data Classification 16
- Stochastic Gradient Optimization Techniques 14
- Machine Learning and Algorithms 11
- Data Stream Mining Techniques 11
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- Advanced Database Systems and Queries 50
- Co-authors
- Dan Suciu (20 shared papers)Benjamin Recht (4 shared papers)Feng Niu (11 shared papers)Stephen J. Wright (2 shared papers)Nilesh Dalvi (4 shared papers)Sen Wu (9 shared papers)Michael Cafarella (12 shared papers)Ce Zhang (10 shared papers)
- Journals
- Proceedings of the VLDB Endowment (16 papers)ACM Transactions on Database Systems (5 papers)Communications of the ACM (3 papers)Queue (2 papers)ACM SIGMOD Record (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Christopher Ré
148 papers receiving 5.0k citations
Christopher Ré's Hit Papers
Peers
Comparison fields: 5 of 150
- Signal Processing 1.4k
- Artificial Intelligence 3.1k
- Computational Mathematics 47
- Computer Networks and Communications 1.7k
- Management Science and Operations Research 781
Countries citing papers authored by Christopher Ré
This map shows the geographic impact of Christopher Ré'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 Christopher Ré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Ré more than expected).
Fields of papers citing papers by Christopher Ré
This network shows the impact of papers produced by Christopher Ré. 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 Christopher Ré. The network helps show where Christopher Ré may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Ré, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Hit paper breakdown → | 2011 | 659 |
| 2 | Snorkel Hit paper breakdown → | 2017 | 378 |
| 3 | 2007 | 240 | |
| 4 | 2013 | 169 | |
| 5 | 2015 | 166 | |
| 6 | 2011 | 157 | |
| 7 | 2015 | 144 | |
| 8 | 2008 | 138 | |
| 9 | 2011 | 114 | |
| 10 | 2009 | 108 | |
| 11 | 2014 | 107 | |
| 12 | 2012 | 106 | |
| 13 | 2009 | 105 | |
| 14 | 2013 | 94 | |
| 15 | 2016 | 86 | |
| 16 | Factoring nonnegative matrices with linear programs | 2012 | 83 |
| 17 | 2017 | 80 | |
| 18 | 2007 | 78 | |
| 19 | 2014 | 77 | |
| 20 | 2014 | 75 |
About Christopher Ré
Christopher Ré is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 153 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (50 papers), Data Management and Algorithms (40 papers), Topic Modeling (21 papers), Data Quality and Management (19 papers), Machine Learning and Data Classification (16 papers), Stochastic Gradient Optimization Techniques (14 papers), Machine Learning and Algorithms (11 papers) and Data Stream Mining Techniques (11 papers). The work is most often cited by research in Signal Processing (1.4k citations), Artificial Intelligence (3.1k citations), Computational Mathematics (47 citations), Computer Networks and Communications (1.7k citations) and Management Science and Operations Research (781 citations). Christopher Ré has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Dan Suciu, Benjamin Recht, Feng Niu, Stephen J. Wright, Nilesh Dalvi, Sen Wu, Michael Cafarella, Ce Zhang, Arun Kumar and Kunle Olukotun. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, Communications of the ACM, Queue and ACM SIGMOD Record.
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.