Ras Bodik
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
Papers in
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- Distributed and Parallel Computing Systems 2
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- David A. Patterson (2 shared papers)Katherine Yelick (2 shared papers)Kurt Keutzer (2 shared papers)Krste Asanović (2 shared papers)Parry Husbands (1 shared paper)John Shalf (1 shared paper)William Plishker (1 shared paper)Bryan Catanzaro (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)UC Berkeley (5 papers)
- Partner nations
- United States
In The Last Decade
Ras Bodik
6 papers receiving 1.3k citations
Ras Bodik's Hit Papers
Peers
Comparison fields: 5 of 83
- Hardware and Architecture 1.1k
- Computer Networks and Communications 1.0k
- Information Systems 251
- Information Systems and Management 43
- Computer Vision and Pattern Recognition 128
Countries citing papers authored by Ras Bodik
This map shows the geographic impact of Ras Bodik'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 Ras Bodik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ras Bodik more than expected).
Fields of papers citing papers by Ras Bodik
This network shows the impact of papers produced by Ras Bodik. 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 Ras Bodik. The network helps show where Ras Bodik may publish in the future.
Co-authors
The 25 scholars most cited alongside Ras Bodik, 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 | The Landscape of Parallel Computing Research: A View from Berkeley Hit paper breakdown → | 2006 | 1424 |
| 2 | The Parallel Computing Laboratory at U.C. Berkeley: A Research Agenda Based on the Berkeley View | 2008 | 31 |
| 3 | 2014 | 16 | |
| 4 | 2008 | 7 | |
| 5 | Quicksilver: Automatic Synthesis of Relational Queries | 2013 | 3 |
| 6 | Parallel Web Scripting with Reactive Constraints | 2010 | 2 |
About Ras Bodik
Ras Bodik is a scholar working on Computer Networks and Communications, Hardware and Architecture, Sociology and Political Science, Computer Vision and Pattern Recognition and Signal Processing, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Multimedia Communication and Technology (1 paper), Video Analysis and Summarization (1 paper), Data Quality and Management (1 paper), Data Management and Algorithms (1 paper), Software Testing and Debugging Techniques (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computer Networks and Communications (1.0k citations), Information Systems (251 citations), Information Systems and Management (43 citations) and Computer Vision and Pattern Recognition (128 citations). Ras Bodik has collaborated with scholars based in United States. Frequent co-authors include David A. Patterson, Katherine Yelick, Kurt Keutzer, Krste Asanović, Parry Husbands, John Shalf, William Plishker, Bryan Catanzaro, Samuel Williams and Kimiko Ryokai. Their work appears in journals such as ACM SIGPLAN Notices and UC Berkeley.
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.