World's Best Scientists 2026 revealed!
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
68
Citations
19087
World Ranking
2080
National Ranking
79

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Nick Koudas is affiliated with the University of Toronto in Canada. Their research primarily spans the field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, and Management Science and Operations Research.

The scientist's published work covers a range of topics centered on data management, algorithmic innovation, and multimedia content analysis. Key research areas include:

  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Data Management and Algorithms
  • Data Quality and Management
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization

Nick Koudas has contributed to multiple research publications, with frequent appearances in well-known venues such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • IEEE Transactions on Knowledge and Data Engineering

Recent papers authored or co-authored by them include:

  • "Astrid," 2020, Proceedings of the VLDB Endowment
  • "Effective Explanations for Entity Resolution Models," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "Spatial and temporal constrained ranked retrieval over videos," 2022, Proceedings of the VLDB Endowment
  • "Ranked Window Query Retrieval over Video Repositories," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks," 2024, IEEE Transactions on Knowledge and Data Engineering

Collaboration is a notable aspect of Nick Koudas's academic output. Frequent co-authors include:

  • Xiaohui Yu
  • Yueting Chen
  • Naiqing Guan
  • Kaiwen Chen
  • Gautam Das

Best Publications

  • Holistic twig joins: optimal XML pattern matching

    Nicolas Bruno;Nick Koudas;Divesh Srivastava

  • Structural joins: a primitive for efficient XML query pattern matching

    S. Al-Khalifa;H.V. Jagadish;N. Koudas;J.M. Patel

  • TwitterMonitor: trend detection over the twitter stream

    Michael Mathioudakis;Nick Koudas

  • Approximate String Joins in a Database (Almost) for Free

    Luis Gravano;Panagiotis G. Ipeirotis;H. V. Jagadish;Nick Koudas

  • Optimal Histograms with Quality Guarantees

    H. V. Jagadish;Nick Koudas;S. Muthukrishnan;Viswanath Poosala

  • Aggregate Query Answering on Anonymized Tables

    Qing Zhang;N. Koudas;D. Srivastava;Ting Yu

  • Monitoring k-nearest neighbor queries over moving objects

    X. Yu;K.Q. Pu;N. Koudas

  • PREFER: a system for the efficient execution of multi-parametric ranked queries

    Vagelis Hristidis;Nick Koudas;Yannis Papakonstantinou

  • Data-streams and histograms

    Sudipto Guha;Nick Koudas;Kyuseok Shim

  • Record linkage: similarity measures and algorithms

    Nick Koudas;Sunita Sarawagi;Divesh Srivastava

  • MRShare: sharing across multiple queries in MapReduce

    Tomasz Nykiel;Michalis Potamias;Chaitanya Mishra;George Kollios

  • Text joins in an RDBMS for web data integration

    Luis Gravano;Panagiotis G. Ipeirotis;Nick Koudas;Divesh Srivastava

  • Dynamic multidimensional histograms

    Nitin Thaper;Sudipto Guha;Piotr Indyk;Nick Koudas

  • Efficient biased sampling for approximate clustering and outlier detection in large data sets

    G. Kollios;D. Gunopulos;N. Koudas;S. Berchtold

  • Identifying Representative Trends in Massive Time Series Data Sets Using Sketches

    Piotr Indyk;Nick Koudas;S. Muthukrishnan

  • Keyword proximity search in XML trees

    V. Hristidis;N. Koudas;Y. Papakonstantinou;Divesh Srivastava

  • Non-linear dimensionality reduction techniques for classification and visualization

    Michail Vlachos;Carlotta Domeniconi;Dimitrios Gunopulos;George Kollios

  • The design of a query monitoring system

    Chaitanya Mishra;Nick Koudas

  • Method and system for information discovery and text analysis

    Nick Koudas;Nilesh Bansal

  • Answering top-k queries using views

    Gautam Das;Dimitrios Gunopulos;Nick Koudas;Dimitris Tsirogiannis

Frequent Co-Authors

Divesh Srivastava
Divesh Srivastava AT&T (United States)
Gautam Das
Gautam Das The University of Texas at Arlington
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Sudipto Guha
Sudipto Guha University of Pennsylvania
Subbaratnam Muthukrishnan
Subbaratnam Muthukrishnan Kansas State University
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Vagelis Hristidis
Vagelis Hristidis University of California, Riverside
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside

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