Chuck Bear
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 6
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- Data Management and Algorithms 5
- Co-authors
- Nga Tran (3 shared papers)Ramakrishna Varadarajan (2 shared papers)Andrew Lamb (2 shared papers)Matt Fuller (1 shared paper)John Lifter (2 shared papers)Jennie Rogers (2 shared papers)Stavros Harizopoulos (2 shared papers)Nabil Hachem (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United States
In The Last Decade
Chuck Bear
6 papers receiving 255 citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 249
- Signal Processing 95
- Information Systems 122
- Hardware and Architecture 30
- Information Systems and Management 20
Countries citing papers authored by Chuck Bear
This map shows the geographic impact of Chuck Bear'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 Chuck Bear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuck Bear more than expected).
Fields of papers citing papers by Chuck Bear
This network shows the impact of papers produced by Chuck Bear. 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 Chuck Bear. The network helps show where Chuck Bear may publish in the future.
Co-authors
The 17 scholars most cited alongside Chuck Bear, 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 | 2012 | 190 | |
| 2 | One Size Fits All? Part 2: Benchmarking Studies. | 2007 | 32 |
| 3 | One Size Fits All? - Part 2: Benchmarking Results | 2007 | 24 |
| 4 | 2013 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2012 | 8 | |
| 7 | 2019 | 0 |
About Chuck Bear
Chuck Bear is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 7 papers that have together received 289 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Data Management and Algorithms (5 papers), Semantic Web and Ontologies (2 papers), Scientific Computing and Data Management (1 paper), Cloud Computing and Resource Management (1 paper), Data Mining Algorithms and Applications (1 paper), Algorithms and Data Compression (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Computer Networks and Communications (249 citations), Signal Processing (95 citations), Information Systems (122 citations), Hardware and Architecture (30 citations) and Information Systems and Management (20 citations). Chuck Bear has collaborated with scholars based in United States. Frequent co-authors include Nga Tran, Ramakrishna Varadarajan, Andrew Lamb, Matt Fuller, John Lifter, Jennie Rogers, Stavros Harizopoulos, Nabil Hachem, Michael Stonebraker and Mitch Cherniack. Their work appears in journals such as Proceedings of the VLDB Endowment and Conference on Innovative Data Systems Research.
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.