Rob Pike
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- Distributed and Parallel Computing Systems 4
- Advanced Database Systems and Queries 2
- Distributed systems and fault tolerance 1
- Information Systems top 2%
- Research Data Management Practices 1
- Web Data Mining and Analysis 1
- Cloud Computing and Resource Management 1
- Hardware and Architecture top 10%
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- Scientific Computing and Data Management 2
- Signal Processing top 10%
- Data Management and Algorithms 1
- Co-authors
- Robert GriesemerSean QuinlanSean DorwardWilson C. HsiehJayant MadhavanMurray HillKen ThompsonWilliam O’Mullane
- Journals
- Communications of the ACM (1 paper)Scientific Programming (1 paper)Bulletin of the American Astronomical Society (1 paper)
- Partner nations
- United States
In The Last Decade
Rob Pike
6 papers receiving 423 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 381
- Information Systems 314
- Hardware and Architecture 77
- Information Systems and Management 60
- Signal Processing 62
Countries citing papers authored by Rob Pike
This map shows the geographic impact of Rob Pike'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 Rob Pike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Pike more than expected).
Fields of papers citing papers by Rob Pike
This network shows the impact of papers produced by Rob Pike. 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 Rob Pike. The network helps show where Rob Pike may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Rob Pike, 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 | 2022 | 8 | |
| 2 | Astronomy should be in the clouds | 2019 | 2 |
| 3 | 2012 | 7 | |
| 4 | 2006 | 31 | |
| 5 | Interpreting the Data: Parallel Analysis with Sawzallbreakdown → | 2005 | 423 |
| 6 | The Hideous Name | 1985 | 9 |
About Rob Pike
Rob Pike is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Signal Processing and Infectious Diseases, having authored 6 papers that have together received 480 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Scientific Computing and Data Management (2 papers), Advanced Database Systems and Queries (2 papers), Distributed systems and fault tolerance (1 paper), Research Data Management Practices (1 paper), Web Data Mining and Analysis (1 paper), Cloud Computing and Resource Management (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (381 citations), Information Systems (314 citations), Hardware and Architecture (77 citations), Information Systems and Management (60 citations) and Signal Processing (62 citations). Rob Pike has collaborated with scholars based in United States. Frequent co-authors include Robert Griesemer, Sean Quinlan, Sean Dorward, Wilson C. Hsieh, Jayant Madhavan, Murray Hill, Ken Thompson, William O’Mullane, Frossie Economou and Ivelina Momcheva. Their work appears in journals such as Communications of the ACM, Scientific Programming and Bulletin of the American Astronomical Society.
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.