Peter Bailis
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- Distributed systems and fault tolerance 25
- Advanced Data Storage Technologies 14
- Advanced Database Systems and Queries 10
- Information Systems top 1%
- Cloud Computing and Resource Management 16
- Hardware and Architecture top 5%
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- Advanced Image and Video Retrieval Techniques 10
- Artificial Intelligence top 2%
- Data Stream Mining Techniques 7
- Machine Learning and Data Classification 7
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- Time Series Analysis and Forecasting 7
Peter Bailis
86 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 1.2k
- Information Systems 730
- Hardware and Architecture 181
- Computer Vision and Pattern Recognition 426
- Artificial Intelligence 496
Countries citing papers authored by Peter Bailis
This map shows the geographic impact of Peter Bailis'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 Peter Bailis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bailis more than expected).
Fields of papers citing papers by Peter Bailis
This network shows the impact of papers produced by Peter Bailis. 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 Peter Bailis. The network helps show where Peter Bailis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Bailis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Contracting Wide-area Network Topologies to Solve Flow Problems Quickly | 2021 | 8 |
| 2 | 2020 | 40 | |
| 3 | 2020 | 31 | |
| 4 | Selection via Proxy: Efficient Data Selection for Deep Learning | 2020 | 6 |
| 5 | Equivariant Transformer Networks. | 2019 | 8 |
| 6 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine. | 2019 | 11 |
| 7 | LIT: Learned Intermediate Representation Training for Model Compression | 2019 | 19 |
| 8 | Rehashing Kernel Evaluation in High Dimensions | 2019 | 5 |
| 9 | BlazeIt: Fast Exploratory Video Queries using Neural Networks. | 2018 | 13 |
| 10 | 2018 | 1 | |
| 11 | Prioritizing Attention in Analytic Monitoring. | 2017 | 4 |
| 12 | NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale. | 2017 | 9 |
| 13 | Optimizing Deep CNN-Based Queries over Video Streams at Scale | 2017 | 7 |
| 14 | ASAP: Automatic Smoothing for Attention Prioritization in Streaming Time Series Visualization. | 2017 | 1 |
| 15 | Cryptocurrencies, blockchains, and smart contracts; Hardware for deep learning | 2016 | 1 |
| 16 | The Case for Invariant-Based Concurrency Control. | 2015 | 2 |
| 17 | Coordination-Avoiding Database Systems. | 2014 | 6 |
| 18 | HAT, not CAP: towards highly available transactions | 2013 | 12 |
| 19 | HAT, not CAP: Highly Available Transactions | 2013 | 4 |
| 20 | 2013 | 119 |
About Peter Bailis
Peter Bailis is a scholar working on Computational Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (25 papers), Cloud Computing and Resource Management (16 papers), Advanced Data Storage Technologies (14 papers), Advanced Database Systems and Queries (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Time Series Analysis and Forecasting (7 papers), Data Stream Mining Techniques (7 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (730 citations), Hardware and Architecture (181 citations), Computer Vision and Pattern Recognition (426 citations) and Artificial Intelligence (496 citations). Peter Bailis has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica, Matei Zaharia, Daniel Kang, Alan Fekete, Firas Abuzaid, Michael J. Franklin, John Emmons and Edward Gan. Their work appears in journals such as Proceedings of the VLDB Endowment, Communications of the ACM, Queue, ACM Transactions on Database Systems and The VLDB Journal.
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.