Jeff Shute
Impact in
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- Distributed systems and fault tolerance
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Advanced Database Systems and Queries 7
- Distributed systems and fault tolerance 6
- Peer-to-Peer Network Technologies 1
- Advanced Data Storage Technologies 1
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- Cloud Computing and Resource Management 4
- Service-Oriented Architecture and Web Services 2
- Co-authors
- Radek Vingralek (3 shared papers)Ian Rae (3 shared papers)Bart Samwel (2 shared papers)John Cieslewicz (2 shared papers)David Menestrina (1 shared paper)Andrey Gubarev (3 shared papers)David Jones (2 shared papers)Kelvin Chan (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (6 papers)Communications of the ACM (1 paper)AGU Fall Meeting Abstracts (1 paper)
- Partner nations
- United States
In The Last Decade
Jeff Shute
9 papers receiving 304 citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 323
- Information Systems 229
- Signal Processing 48
- Information Systems and Management 20
- Hardware and Architecture 12
Countries citing papers authored by Jeff Shute
This map shows the geographic impact of Jeff Shute'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 Jeff Shute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Shute more than expected).
Fields of papers citing papers by Jeff Shute
This network shows the impact of papers produced by Jeff Shute. 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 Jeff Shute. The network helps show where Jeff Shute may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Shute, 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 | 2013 | 156 | |
| 2 | 2014 | 56 | |
| 3 | 2020 | 39 | |
| 4 | 2012 | 32 | |
| 5 | 2013 | 26 | |
| 6 | 2020 | 21 | |
| 7 | 2016 | 9 | |
| 8 | 2024 | 4 | |
| 9 | CREATE-IP and CREATE-V: Data and Services Update | 2017 | 1 |
About Jeff Shute
Jeff Shute is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Infectious Diseases, having authored 9 papers that have together received 344 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Distributed systems and fault tolerance (6 papers), Cloud Computing and Resource Management (4 papers), Service-Oriented Architecture and Web Services (2 papers), Data Management and Algorithms (1 paper), Semantic Web and Ontologies (1 paper), Peer-to-Peer Network Technologies (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (323 citations), Information Systems (229 citations), Signal Processing (48 citations), Information Systems and Management (20 citations) and Hardware and Architecture (12 citations). Jeff Shute has collaborated with scholars based in United States. Frequent co-authors include Radek Vingralek, Ian Rae, Bart Samwel, John Cieslewicz, David Menestrina, Andrey Gubarev, David Jones, Kelvin Chan, Hossein Ahmadi and Ashish Gupta. Their work appears in journals such as Proceedings of the VLDB Endowment, Communications of the ACM and AGU Fall Meeting Abstracts.
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.