World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5901
World Ranking
13440
National Ranking
5375

Overview

Flip Korn is affiliated with Google in the United States and specializes primarily in the field of Computer Science. Their research spans several subfields, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications, Ocean Engineering, and Environmental Engineering.

Korn's work covers a variety of topics including:

  • Data Stream Mining Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Video Surveillance and Tracking Methods
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications

Recent publications by Korn include:

  • "Rapid Instance-Level Knowledge Acquisition for Google Maps from Class-Level Common Sense," 2021, Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
  • "Scalable Building Height Estimation From Street Scene Images," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Collocating News Articles with Structured Web Tables," 2021, Companion Proceedings of the Web Conference 2021
  • "Addressing Label Sparsity With Class-Level Common Sense for Google Maps," 2022, Frontiers in Artificial Intelligence
  • "HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks," 2021, arXiv (Cornell University)

Flip Korn frequently collaborates with several coauthors, including:

  • Chris Welty
  • Lora Aroyo
  • Sara McCarthy
  • Shubin Zhao
  • Yunxiang Zhao

The scientist's work has been published across a range of venues with multiple papers in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
  • IEEE Transactions on Geoscience and Remote Sensing
  • Companion Proceedings of the Web Conference 2021
  • Frontiers in Artificial Intelligence

Best Publications

  • Influence sets based on reverse nearest neighbor queries

    Flip Korn;S. Muthukrishnan

  • Efficiently supporting ad hoc queries in large datasets of time sequences

    Flip Korn;H. V. Jagadish;Christos Faloutsos

  • On computing correlated aggregates over continual data streams

    Johannes Gehrke;Flip Korn;Divesh Srivastava

  • On the "dimensionality curse" and the "self-similarity blessing"

    F. Korn;B.-U. Pagel;C. Faloutsos

  • Fast and effective retrieval of medical tumor shapes

    P. Korn;N. Sidiropoulos;C. Faloutsos;E. Siegel

  • Finding hierarchical heavy hitters in data streams

    Graham Cormode;Flip Korn;S. Muthukrishnan;Divesh Srivastava

  • Query optimization in compressed database systems

    Zhiyuan Chen;Johannes Gehrke;Flip Korn

  • Goods: Organizing Google's Datasets

    Alon Halevy;Flip Korn;Natalya F. Noy;Christopher Olston

  • On generating near-optimal tableaux for conditional functional dependencies

    Lukasz Golab;Howard Karloff;Flip Korn;Divesh Srivastava

  • Counting twig matches in a tree

    Zhiyuan Chen;H.V. Jagadish;Flip Korn;N. Koudas

  • Diamond in the rough: finding Hierarchical Heavy Hitters in multi-dimensional data

    Graham Cormode;Flip Korn;S. Muthukrishnan;Divesh Srivastava

  • Holistic UDAFs at streaming speeds

    Graham Cormode;Theodore Johnson;Flip Korn;S. Muthukrishnan

  • The "DGX" distribution for mining massive, skewed data

    Zhiqiang Bi;Christos Faloutsos;Flip Korn

  • Deflating the dimensionality curse using multiple fractal dimensions

    B.-U. Pagel;F. Korn;C. Faloutsos

  • Sequential dependencies

    Lukasz Golab;Howard Karloff;Flip Korn;Avishek Saha

  • Reverse nearest neighbor aggregates over data streams

    Flip Korn;S. Muthukrishnan;Divesh Srivastava

  • Finding hierarchical heavy hitters in streaming data

    Graham Cormode;Flip Korn;S. Muthukrishnan;Divesh Srivastava

  • Space- and time-efficient deterministic algorithms for biased quantiles over data streams

    Graham Cormode;Flip Korn;S. Muthukrishnan;Divesh Srivastava

  • Interpretable and informative explanations of outcomes

    Kareem El Gebaly;Parag Agrawal;Lukasz Golab;Flip Korn

  • Selectively estimation for Boolean queries

    Zhiyuan Chen;Nick Koudas;Flip Korn;S. Muthukrishnan

Frequent Co-Authors

Divesh Srivastava
Divesh Srivastava AT&T (United States)
s muthukrishnan
s muthukrishnan Rutgers, The State University of New Jersey
Graham Cormode
Graham Cormode University of Warwick
Howard Karloff
Howard Karloff Amazon (United States)
Lukasz Golab
Lukasz Golab University of Waterloo
Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Nick Koudas
Nick Koudas University of Toronto
Jayavel Shanmugasundaram
Jayavel Shanmugasundaram Yahoo (United States)
Yuval Rabani
Yuval Rabani Hebrew University of Jerusalem

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online study options in Computer Science opens doors to a range of flexible and rewarding career pathways. Many students are searching for easy certifications that pay well to boost their job prospects quickly—ideal for those looking to enter the workforce or upskill without dedicating years to education.

For those aiming to advance their credentials swiftly, there’s a growing interest in the fastest masters degree online programs. These accelerated degrees can help you gain specialized skills in less time, making you more competitive in the tech industry.

When choosing a program, it’s key to consider which master's degree is most in demand in usa. Tech and data-oriented master's degrees lead the market, offering strong salary potential and growth opportunities.

Additionally, for a quicker entry into the tech field, 1 year associate degree programs online can provide foundational skills and open pathways to further study or immediate employment.

Best Scientists Citing Flip Korn

Trending Scientists

Recently Published Articles