Flip Korn
Impact in
- Signal Processing top 0.2%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
-
- Advanced Database Systems and Queries
Papers in
-
- Data Management and Algorithms 31
- Time Series Analysis and Forecasting 5
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- Advanced Database Systems and Queries 28
- Co-authors
- S. MuthukrishnanDivesh SrivastavaChristos FaloutsosH. V. JagadishJohannes GehrkeGraham CormodeLukasz GolabBernd-Uwe Pagel
- Journals
- Proceedings of the VLDB Endowment (7 papers)ACM SIGMOD Record (4 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Data & Knowledge Engineering (1 paper)Journal of Computer and System Sciences (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Flip Korn
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 92
- Signal Processing 1.5k
- Computer Networks and Communications 1.2k
- Artificial Intelligence 1.3k
- Management Science and Operations Research 397
- Geography, Planning and Development 158
Countries citing papers authored by Flip Korn
This map shows the geographic impact of Flip Korn'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 Flip Korn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flip Korn more than expected).
Fields of papers citing papers by Flip Korn
This network shows the impact of papers produced by Flip Korn. 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 Flip Korn. The network helps show where Flip Korn may publish in the future.
Co-authors
The 25 scholars most cited alongside Flip Korn, 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 | 2024 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2018 | 7 | |
| 5 | 2018 | 2 | |
| 6 | Managing Google’s data lake: an overview of the Goods system | 2016 | 33 |
| 7 | 2016 | 107 | |
| 8 | 2015 | 21 | |
| 9 | 2015 | 4 | |
| 10 | 2015 | 13 | |
| 11 | 2014 | 1 | |
| 12 | 2012 | 1 | |
| 13 | Efficient and Effective Analysis of Data Quality using Pattern Tableaux. | 2011 | 15 |
| 14 | 2008 | 34 | |
| 15 | 2008 | 120 | |
| 16 | 2008 | 33 | |
| 17 | 2003 | 5 | |
| 18 | 2003 | 22 | |
| 19 | 2002 | 57 | |
| 20 | 2001 | 18 |
About Flip Korn
Flip Korn is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 64 papers that have together received 2.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (31 papers), Advanced Database Systems and Queries (28 papers), Data Mining Algorithms and Applications (12 papers), Data Quality and Management (12 papers), Algorithms and Data Compression (9 papers), Data Stream Mining Techniques (9 papers), Semantic Web and Ontologies (8 papers) and Time Series Analysis and Forecasting (5 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computer Networks and Communications (1.2k citations), Artificial Intelligence (1.3k citations), Management Science and Operations Research (397 citations) and Geography, Planning and Development (158 citations). Flip Korn has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include S. Muthukrishnan, Divesh Srivastava, Christos Faloutsos, H. V. Jagadish, Johannes Gehrke, Graham Cormode, Lukasz Golab, Bernd-Uwe Pagel, Zhiyuan Chen and Howard Karloff. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering and Journal of Computer and System Sciences.
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.