Tim Kraska
- Computer Science Applications top 0.2%
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries 55
- Advanced Data Storage Technologies 29
- Distributed systems and fault tolerance 22
- Signal Processing top 0.5%
- Data Management and Algorithms 44
- Information Systems top 0.2%
- Cloud Computing and Resource Management 43
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- Data Quality and Management 21
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- Data Stream Mining Techniques 22
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- Scientific Computing and Data Management 17
- Co-authors
- Michael J. FranklinDonald KossmannCarsten BinnigJiannan WangRyan MarcusSimon LoesingReynold XinSukriti Ramesh
- Journals
- Proceedings of the VLDB Endowment (41 papers)ACM SIGMOD Record (5 papers)IEEE Internet Computing (3 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Tim Kraska
146 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Science Applications 775
- Computer Networks and Communications 2.6k
- Signal Processing 1.1k
- Information Systems 1.9k
- Management Science and Operations Research 826
Countries citing papers authored by Tim Kraska
This map shows the geographic impact of Tim Kraska'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 Tim Kraska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kraska more than expected).
Fields of papers citing papers by Tim Kraska
This network shows the impact of papers produced by Tim Kraska. 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 Tim Kraska. The network helps show where Tim Kraska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim Kraska, 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 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 2 | |
| 8 | SageDB: A Learned Database System | 2019 | 70 |
| 9 | Park: An Open Platform for Learning-Augmented Computer Systems | 2019 | 39 |
| 10 | Towards Quantifying Uncertainty in Data Analysis & Exploration. | 2018 | 10 |
| 11 | Slice Finder: Automated Data Sclicing for Model Validation | 2018 | 3 |
| 12 | Toward Sustainable Insights, or Why Polygamy is Bad for You. | 2017 | 17 |
| 13 | Rethinking Distributed Query Execution on High-Speed Networks. | 2017 | 14 |
| 14 | IncMap: A Journey towards Ontology-based Data Integration | 2017 | 6 |
| 15 | Spotlytics: How to Use Cloud Market Places for Analytics? | 2017 | 1 |
| 16 | Towards a Benchmark for Interactive Data Exploration. | 2016 | 13 |
| 17 | SampleClean: Fast and Reliable Analytics on Dirty Data. | 2015 | 28 |
| 18 | CrowdQ: Crowdsourced Query Understanding | 2013 | 23 |
| 19 | The Multi-Tenant Data Placement Problem | 2012 | 5 |
| 20 | 2006 | 4 |
About Tim Kraska
Tim Kraska is a scholar working on Signal Processing, Computer Networks and Communications and Computer Science Applications, having authored 149 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (55 papers), Data Management and Algorithms (44 papers), Cloud Computing and Resource Management (43 papers), Advanced Data Storage Technologies (29 papers), Distributed systems and fault tolerance (22 papers), Data Stream Mining Techniques (22 papers), Data Quality and Management (21 papers) and Scientific Computing and Data Management (17 papers). The work is most often cited by research in Computer Science Applications (775 citations), Computer Networks and Communications (2.6k citations) and Signal Processing (1.1k citations). Tim Kraska has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Michael J. Franklin, Donald Kossmann, Carsten Binnig, Jiannan Wang, Ryan Marcus, Simon Loesing, Reynold Xin, Sukriti Ramesh, Jianhua Feng and Mohammad Alizadeh. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, IEEE Internet Computing, Communications of the ACM and IEEE Transactions on Visualization and Computer Graphics.
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.