Joe Hellerstein
Impact in
-
- Advanced Database Systems and Queries
- Energy Efficient Wireless Sensor Networks
- Advanced Data Storage Technologies
- Peer-to-Peer Network Technologies
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
-
- Advanced Database Systems and Queries 5
- Distributed and Parallel Computing Systems 1
-
- Data Management and Algorithms 2
- Co-authors
- Samuel R. Madden (1 shared paper)Michael R Stonebraker (5 shared papers)Hamid Pirahesh (1 shared paper)Héctor García-Molina (1 shared paper)David J. DeWitt (1 shared paper)Stefano Ceri (1 shared paper)Jim Gray (1 shared paper)Jeff Ullman (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)Communications of the ACM (1 paper)Morgan Kaufmann Publishers Inc. eBooks (4 papers)
- Partner nations
- United States
In The Last Decade
Joe Hellerstein
11 papers receiving 328 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 273
- Signal Processing 128
- Information Systems 119
- Information Systems and Management 31
- Artificial Intelligence 122
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 | 171 | |
| 2 | 2005 | 123 | |
| 3 | TinyDB: In-Network Query Processing in TinyOS | 2002 | 46 |
| 4 | The roots | 1998 | 21 |
| 5 | Using mobile technology and social networking to crowdsource citizen science | 2012 | 12 |
| 6 | Benchmarking database systems | 1998 | 2 |
| 7 | 2013 | 1 | |
| 8 | RESEARCH SELF-ASSESSMENT | 2005 | 1 |
| 9 | Distributed database systems | 1998 | 1 |
| 10 | Parallel database systems | 1998 | 1 |
| 11 | Relational implementation techniques | 1998 | 1 |
About Joe Hellerstein
Joe Hellerstein is a scholar working on Computer Networks and Communications, Signal Processing, Ecological Modeling, Information Systems and Information Systems and Management, having authored 11 papers that have together received 380 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (2 papers), Semantic Web and Ontologies (2 papers), Web Data Mining and Analysis (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Distributed and Parallel Computing Systems (1 paper), Scientific Computing and Data Management (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Computer Networks and Communications (273 citations), Signal Processing (128 citations), Information Systems (119 citations), Information Systems and Management (31 citations) and Artificial Intelligence (122 citations). Joe Hellerstein has collaborated with scholars based in United States. Frequent co-authors include Samuel R. Madden, Michael R Stonebraker, Hamid Pirahesh, Héctor García-Molina, David J. DeWitt, Stefano Ceri, Jim Gray, Jeff Ullman, Michael L. Brodie and Mike Stonebraker. Their work appears in journals such as ACM SIGMOD Record, Communications of the ACM 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.