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 5%
- Data Management and Algorithms
Papers in
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- Data Management and Algorithms 5
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- Advanced Database Systems and Queries 6
- Co-authors
- Ramakrishna Varadarajan (2 shared papers)Nga Tran (3 shared papers)Andrew Lamb (2 shared papers)Matt Fuller (1 shared paper)Stavros Harizopoulos (2 shared papers)Tingjian Ge (2 shared papers)Jennie Rogers (2 shared papers)Mitch Cherniack (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 313 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 297
- Signal Processing 122
- Information Systems 151
- Hardware and Architecture 32
- Information Systems and Management 21
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 | 232 | |
| 2 | One size fits all? – Part 2: benchmarking results | 2007 | 33 |
| 3 | One Size Fits All? Part 2: Benchmarking Studies. | 2007 | 32 |
| 4 | 2013 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2012 | 8 | |
| 7 | 2019 | 0 |
About Chuck Bear
Chuck Bear is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 7 papers that have together received 347 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 (297 citations), Signal Processing (122 citations), Information Systems (151 citations), Hardware and Architecture (32 citations) and Information Systems and Management (21 citations). Chuck Bear has collaborated with scholars based in United States. Frequent co-authors include Ramakrishna Varadarajan, Nga Tran, Andrew Lamb, Matt Fuller, Stavros Harizopoulos, Tingjian Ge, Jennie Rogers, Mitch Cherniack, Nabil I. Hachem and Michael R Stonebraker. 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.