Dana Van Aken
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Hardware and Architecture top 5%
- Co-authors
- Andrew PavloGeoffrey J. GordonBohan ZhangLin MaAhmed HefnyMichael StonebrakerPrashanth MenonDongsheng Yang
- Topics
- Advanced Database Systems and Queries (6 papers)Cloud Computing and Resource Management (4 papers)Time Series Analysis and Forecasting (3 papers)
- Journals
- Proceedings of the VLDB EndowmentOperating Systems Design and ImplementationConference on Innovative Data Systems Research
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Dana Van Aken
10 papers receiving 766 citations
Hit Papers
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 640
- Information Systems 443
- Artificial Intelligence 308
- Signal Processing 174
- Hardware and Architecture 83
Countries citing papers authored by Dana Van Aken
This map shows the geographic impact of Dana Van Aken'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 Dana Van Aken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Van Aken more than expected).
Fields of papers citing papers by Dana Van Aken
This network shows the impact of papers produced by Dana Van Aken. 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 Dana Van Aken. The network helps show where Dana Van Aken may publish in the future.
Co-authorship network of co-authors of Dana Van Aken
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Van Aken. A scholar is included among the top collaborators of Dana Van Aken 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 Dana Van Aken. Dana Van Aken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 53 | |
| 3 | External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems | 15 |
| 4 | 115 | |
| 5 | 39 | |
| 6 | Self-Driving Database Management Systems. | 130 |
| 7 | Automatic Database Management System Tuning Through Large-scale Machine Learningbreakdown → | 323 |
| 8 | 72 | |
| 9 | 3 | |
| 10 | 38 |
About Dana Van Aken
Dana Van Aken is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 10 papers that have together received 809 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Cloud Computing and Resource Management (4 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Computer Networks and Communications (640 citations), Information Systems (443 citations) and Signal Processing (174 citations). Dana Van Aken has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang, Lin Ma, Ahmed Hefny, Michael Stonebraker, Prashanth Menon, Dongsheng Yang, Todd C. Mowry and Yingjun Wu. Their work appears in journals such as Proceedings of the VLDB Endowment, Operating Systems Design and Implementation 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.