Karl Dias
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Management Science and Operations Research
- Co-authors
- Benoît DagevilleVenkateshwaran VenkataramaniGraham WoodUri ShaftKhaled YagoubAndrew WitkowskiMohamed ZiauddinYujun Wang
- Topics
- Advanced Database Systems and Queries (7 papers)Software System Performance and Reliability (5 papers)Cloud Computing and Resource Management (5 papers)
- Journals
- Proceedings of the VLDB EndowmentVery Large Data BasesProceedings - International Conference on Data Engineering
- Partner nations
- United States
In The Last Decade
Karl Dias
10 papers receiving 245 citations
Peers
Comparison fields: 5 of 22
- Computer Networks and Communications 253
- Information Systems 138
- Signal Processing 104
- Artificial Intelligence 70
- Management Science and Operations Research 27
Countries citing papers authored by Karl Dias
This map shows the geographic impact of Karl Dias'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 Karl Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Dias more than expected).
Fields of papers citing papers by Karl Dias
This network shows the impact of papers produced by Karl Dias. 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 Karl Dias. The network helps show where Karl Dias may publish in the future.
Co-authorship network of co-authors of Karl Dias
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Dias. A scholar is included among the top collaborators of Karl Dias 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 Karl Dias. Karl Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Decade of Oracle Database Manageability. | 3 |
| 2 | 1 | |
| 3 | 38 | |
| 4 | 3 | |
| 5 | Oracle's SQL Performance Analyzer. | 32 |
| 6 | 2 | |
| 7 | 20 | |
| 8 | Oracle's Self-Tuning Architecture and Solutions. | 21 |
| 9 | Automatic Performance Diagnosis and Tuning in Oracle | 76 |
| 10 | Materialized Views in Oracle | 76 |
About Karl Dias
Karl Dias is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 10 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Software System Performance and Reliability (5 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Computer Networks and Communications (253 citations), Signal Processing (104 citations) and Information Systems (138 citations). Karl Dias has collaborated with scholars based in United States. Frequent co-authors include Benoît Dageville, Venkateshwaran Venkataramani, Graham Wood, Uri Shaft, Khaled Yagoub, Andrew Witkowski, Mohamed Ziauddin, Yujun Wang, Leonidas Galanis and Stratos Papadomanolakis. Their work appears in journals such as Proceedings of the VLDB Endowment, Very Large Data Bases and Proceedings - International Conference on Data Engineering.
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.