Tim Kraska
Impact in
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing
- Computer Networks and Communications top 0.5%
- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
Papers in
-
- Advanced Database Systems and Queries 56
- Advanced Data Storage Technologies 31
- Distributed systems and fault tolerance 23
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- Data Stream Mining Techniques 23
- Co-authors
- Michael J. Franklin (24 shared papers)Donald Kossmann (16 shared papers)Carsten Binnig (27 shared papers)Jiannan Wang (6 shared papers)Ryan Marcus (16 shared papers)Simon Loesing (4 shared papers)Emanuel Zgraggen (19 shared papers)Reynold Xin (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (42 papers)ACM SIGMOD Record (5 papers)IEEE Internet Computing (3 papers)ACM SIGPLAN Notices (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Tim Kraska
160 papers receiving 5.7k citations
Tim Kraska's Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Science Applications 877
- Computer Networks and Communications 3.0k
- Signal Processing 1.3k
- Information Systems 2.2k
- Management Science and Operations Research 1.0k
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-authors
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
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CrowdDB Hit paper breakdown → | 2011 | 492 |
| 2 | CrowdER Hit paper breakdown → | 2012 | 391 |
| 3 | 2019 | 220 | |
| 4 | MLbase: A Distributed Machine-learning System | 2013 | 209 |
| 5 | 2010 | 187 | |
| 6 | 2008 | 184 | |
| 7 | 2009 | 152 | |
| 8 | 2013 | 146 | |
| 9 | 2019 | 143 | |
| 10 | 2009 | 129 | |
| 11 | 2016 | 111 | |
| 12 | 2015 | 110 | |
| 13 | 2021 | 109 | |
| 14 | 2020 | 106 | |
| 15 | 2019 | 103 | |
| 16 | 2013 | 103 | |
| 17 | 2013 | 88 | |
| 18 | 2017 | 82 | |
| 19 | 2014 | 82 | |
| 20 | 2020 | 81 |
About Tim Kraska
Tim Kraska is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 163 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (56 papers), Cloud Computing and Resource Management (45 papers), Data Management and Algorithms (44 papers), Advanced Data Storage Technologies (31 papers), Data Quality and Management (23 papers), Distributed systems and fault tolerance (23 papers), Data Stream Mining Techniques (23 papers) and Data Visualization and Analytics (20 papers). The work is most often cited by research in Computer Science Applications (877 citations), Computer Networks and Communications (3.0k citations), Signal Processing (1.3k citations), Information Systems (2.2k citations) and Management Science and Operations Research (1.0k 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, Emanuel Zgraggen, Reynold Xin, Sukriti Ramesh and Jianhua Feng. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, IEEE Internet Computing, ACM SIGPLAN Notices and ACM Transactions on Database Systems.
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.