Joe Hellerstein
Impact in
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- Advanced Database Systems and Queries
- Energy Efficient Wireless Sensor Networks
- 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 3
- Distributed and Parallel Computing Systems 1
- Software-Defined Networks and 5G 1
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- Web Data Mining and Analysis 1
- Cloud Computing and Resource Management 1
- Co-authors
- Samuel Madden (1 shared paper)Michael Stonebraker (5 shared papers)Héctor García-Molina (1 shared paper)Stefano Ceri (1 shared paper)Jeff Naughton (1 shared paper)Phil Bernstein (1 shared paper)Michael Lesk (1 shared paper)H. V. Jagadish (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)Morgan Kaufmann Publishers Inc. eBooks (4 papers)
- Partner nations
- United States
In The Last Decade
Joe Hellerstein
10 papers receiving 183 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 161
- Signal Processing 63
- Information Systems 72
- Artificial Intelligence 52
- Hardware and Architecture 8
Countries citing papers authored by Joe Hellerstein
This map shows the geographic impact of Joe Hellerstein'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 Joe Hellerstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Hellerstein more than expected).
Fields of papers citing papers by Joe Hellerstein
This network shows the impact of papers produced by Joe Hellerstein. 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 Joe Hellerstein. The network helps show where Joe Hellerstein may publish in the future.
Co-authors
The 17 scholars most cited alongside Joe Hellerstein, 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 | 1998 | 139 | |
| 2 | TinyDB: In-Network Query Processing in TinyOS | 2002 | 40 |
| 3 | The roots | 1998 | 23 |
| 4 | Using mobile technology and social networking to crowdsource citizen science | 2012 | 11 |
| 5 | Benchmarking database systems | 1998 | 2 |
| 6 | Parallel database systems | 1998 | 1 |
| 7 | Distributed database systems | 1998 | 1 |
| 8 | 2013 | 1 | |
| 9 | 1998 | 1 | |
| 10 | 2013 | 1 |
About Joe Hellerstein
Joe Hellerstein is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Molecular Biology and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 220 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Scientific Computing and Data Management (2 papers), Graph Theory and Algorithms (1 paper), Web Data Mining and Analysis (1 paper), Cloud Computing and Resource Management (1 paper), Distributed and Parallel Computing Systems (1 paper), Species Distribution and Climate Change (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Computer Networks and Communications (161 citations), Signal Processing (63 citations), Information Systems (72 citations), Artificial Intelligence (52 citations) and Hardware and Architecture (8 citations). Joe Hellerstein has collaborated with scholars based in United States. Frequent co-authors include Samuel Madden, Michael Stonebraker, Héctor García-Molina, Stefano Ceri, Jeff Naughton, Phil Bernstein, Michael Lesk, H. V. Jagadish, Michael L. Brodie and Hamid Pirahesh. Their work appears in journals such as ACM SIGMOD Record and Morgan Kaufmann Publishers Inc. eBooks.
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.