Peter Bailis

4.2k citations
89 papers · 2.2k · h-index 27

Impact in

    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Software System Performance and Reliability
    • Advanced Database Systems and Queries
    • Distributed and Parallel Computing Systems
    • Cloud Computing and Resource Management

Papers in

Peter Bailis

88 papers receiving 2.1k citations

Peers

Peter Bailis
Comparison fields: 5 of 89
  • Computer Networks and Communications 1.4k
  • Information Systems 813
  • Hardware and Architecture 204
  • Computer Vision and Pattern Recognition 466
  • Artificial Intelligence 540
Replace Yuxiong He with:
Yuxiong He United States
Jeff Rasley United States
Depei Qian China
Olatunji Ruwase United States
Odej Kao Germany
Rakesh B. Bobba United States
Jin Sun China
Jizhong Han China
Wei Lin China
Martin S. Beck Germany
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Citations per field
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Countries citing papers authored by Peter Bailis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Peter Bailis Line = papers co-authored together Peter Bailis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017248
2 2013149
3 2013131
4 2012123
5 2014122
6 2013119
7 201767
8 201261
9 201960
10 202257
11 201156
12 201354
13 201453
14 202046
15 201844
16 201543
17 202038
18 201435
19 201833
20 201731

About Peter Bailis

Peter Bailis is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (26 papers), Cloud Computing and Resource Management (16 papers), Advanced Data Storage Technologies (14 papers), Advanced Database Systems and Queries (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Time Series Analysis and Forecasting (7 papers), Software System Performance and Reliability (7 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Information Systems (813 citations), Hardware and Architecture (204 citations), Computer Vision and Pattern Recognition (466 citations) and Artificial Intelligence (540 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.

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