Joseph L. Hellerstein
About
In The Last Decade
Joseph L. Hellerstein
101 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Networks and Communications 2.9k
- Information Systems 2.3k
- Artificial Intelligence 890
- Hardware and Architecture 525
- Signal Processing 299
Countries citing papers authored by Joseph L. Hellerstein
This map shows the geographic impact of Joseph L. 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 Joseph L. Hellerstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph L. Hellerstein more than expected).
Fields of papers citing papers by Joseph L. Hellerstein
This network shows the impact of papers produced by Joseph L. 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 Joseph L. Hellerstein. The network helps show where Joseph L. Hellerstein may publish in the future.
Co-authorship network of co-authors of Joseph L. Hellerstein
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph L. Hellerstein. A scholar is included among the top collaborators of Joseph L. Hellerstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph L. Hellerstein. Joseph L. Hellerstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | SLAOrchestrator: reducing the cost of performance SLAs for cloud data analytics | 8 |
| 5 | Thinking Big About Tiny Databases. | 4 |
| 6 | Engineering Performance Using Control Theory. | 2 |
| 7 | Control engineering for computing systems | 13 |
| 8 | Managing the Performance of Lotus Notes: A Control Theoretic Approach. | 20 |
| 9 | Potter's Wheel: An Interactive Data Cleaning System | 303 |
| 10 | Recognizing End-User Transactions in Performance Management | 35 |
| 11 | Mining Event Data for Actionable Patterns. | 18 |
| 12 | Automated Drill Down: An Approach to Automated Problem Isolation for Performance Management. | 5 |
| 13 | Characterizing Normal Operation of a Web Server: Application to Workload Forecasting and Problem Determination. | 15 |
| 14 | Automated Tuning Systems: Beyond Decision Support. | 6 |
| 15 | Rules Of Thumb For Selecting Metrics For Detecting Performance Problems. | 3 |
| 16 | How Expert is Your Expert System for Performance Management | 0 |
| 17 | An Object-Oriented Data Model for the Automation of Computer Performance Management. | 2 |
| 18 | Choosing a Service Level Indicator - Why not Queue Length? | 1 |
| 19 | Expert Systems for Capacity Management. | 1 |
| 20 | YSCOPE: A Shell for Building Expert Systems for Solving Computer-Performance Problems. | 6 |
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.