Ryan Huebsch
Impact in
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- Peer-to-Peer Network Technologies
- Advanced Database Systems and Queries
- Caching and Content Delivery
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Peer-to-Peer Network Technologies 7
- Caching and Content Delivery 6
- Advanced Data Storage Technologies 2
- Advanced Database Systems and Queries 2
- Distributed systems and fault tolerance 1
- Energy Efficient Wireless Sensor Networks 1
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- Data Management and Algorithms 3
- Co-authors
- Joseph M. Hellerstein (7 shared papers)Ion Stoica (5 shared papers)Timothy Roscoe (3 shared papers)Boon Thau Loo (4 shared papers)Brent Chun (3 shared papers)Scott Shenker (3 shared papers)Petros Maniatis (1 shared paper)Aydan Yumerefendi (1 shared paper)
- Journals
- UC Berkeley (1 paper)ScholarlyCommons (University of Pennsylvania) (3 papers)
- Partner nations
- United States
In The Last Decade
Ryan Huebsch
8 papers receiving 145 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 162
- Signal Processing 47
- Information Systems 42
- Artificial Intelligence 33
- Computer Vision and Pattern Recognition 10
Countries citing papers authored by Ryan Huebsch
This map shows the geographic impact of Ryan Huebsch'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 Ryan Huebsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Huebsch more than expected).
Fields of papers citing papers by Ryan Huebsch
This network shows the impact of papers produced by Ryan Huebsch. 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 Ryan Huebsch. The network helps show where Ryan Huebsch may publish in the future.
Co-authors
The 11 scholars most cited alongside Ryan Huebsch, 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 Architecture of PIER: an Internet-Scale Query Processor | 2005 | 120 |
| 2 | 2007 | 31 | |
| 3 | Analyzing P2P Overlays with Recursive Queries | 2003 | 5 |
| 4 | PIER on PlanetLab: Initial Experience and Open Problems | 2003 | 4 |
| 5 | 2004 | 3 | |
| 6 | Pier: internet scale p2p query processing with distributed hash tables | 2008 | 2 |
| 7 | Freddies: DHT-Based Adaptive Query Processing via Federated Eddies | 2003 | 2 |
| 8 | Measurement and Analysis of Ultrapeer-based P2P Search Networks | 2003 | 1 |
About Ryan Huebsch
Ryan Huebsch is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 168 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (7 papers), Caching and Content Delivery (6 papers), Data Management and Algorithms (3 papers), Advanced Data Storage Technologies (2 papers), Advanced Database Systems and Queries (2 papers), Graph Theory and Algorithms (1 paper), Distributed systems and fault tolerance (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Computer Networks and Communications (162 citations), Signal Processing (47 citations), Information Systems (42 citations), Artificial Intelligence (33 citations) and Computer Vision and Pattern Recognition (10 citations). Ryan Huebsch has collaborated with scholars based in United States. Frequent co-authors include Joseph M. Hellerstein, Ion Stoica, Timothy Roscoe, Boon Thau Loo, Brent Chun, Scott Shenker, Petros Maniatis, Aydan Yumerefendi, Minos Garofalakis and Shawn R. Jeffery. Their work appears in journals such as UC Berkeley and ScholarlyCommons (University of Pennsylvania).
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.