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D-Index & Metrics

Computer Science

D-Index
57
Citations
44307
World Ranking
3717
National Ranking
1773

Overview

Tomasz Imielinski is affiliated with Rutgers, The State University of New Jersey in the United States. Their research is primarily situated within the fields of Economics, Econometrics and Finance. The subfields of their work include Economics and Econometrics, Management Science and Operations Research, and Visual Arts and Performing Arts.

The main topics covered by Tomasz Imielinski's research include Game Theory and Applications, Game Theory and Voting Systems, Economic Theories and Models, as well as Art History and Market Analysis.

They have contributed papers published in the venue arXiv (Cornell University). These include:

  • Ranking by Momentum based on Pareto ordering of entities (2021, arXiv (Cornell University))
  • Lists of Top Artists to Watch computed algorithmically (2021, arXiv (Cornell University))

Their recent publications demonstrate a focus on algorithmic ranking methods and applications intersecting economics and art market analysis.

Best Publications

  • Mining association rules between sets of items in large databases

    Rakesh Agrawal;Tomasz Imieliński;Arun Swami

  • Database mining: a performance perspective

    R. Agrawal;T. Imielinski;A. Swami

  • Incomplete Information in Relational Databases

    Tomasz Imieliński;Witold Lipski

  • Mobile wireless computing: challenges in data management

    Tomasz Imielinski;B. R. Badrinath

  • Data on air: organization and access

    T. Imielinski;S. Viswanathan;B.R. Badrinath

  • Mobile Computing

    Tomasz Imielinski;Henry F. Korth

  • A database perspective on knowledge discovery

    Tomasz Imielinski;Heikki Mannila

  • GeoCast—geographic addressing and routing

    Julio C. Navas;Tomasz Imielinski

  • Sleepers and workaholics: caching strategies in mobile environments

    Daniel Barbará;Tomasz Imieliński

  • Metropolitan area video-on-demand service using pyramid broadcasting

    S. Viswanathan;T. Imielinski

  • Energy efficient indexing on air

    Tomasz Imielinski;S. Viswanathan;B. R. Badrinath

  • An Interval Classifier for Database Mining Applications

    Rakesh Agrawal;Sakti P. Ghosh;Tomasz Imielinski;Balakrishna R. Iyer

  • MSQL: A Query Language for Database Mining

    Tomasz Imieliński;Aashu Virmani

  • Method and system for placing advertisements in a computer network

    Shamin Abbas Naqvi;Tomasz Imielinski

  • Prediction-based monitoring in sensor networks: taking lessons from MPEG

    Samir Goel;Tomasz Imielinski

  • Pyramid broadcasting for video-on-demand service

    Subramaniyam R. Viswanathan;Tomasz Imieliński

  • Querying in Highly Mobile Distributed Environments

    Tomasz Imielinski;B. R. Badrinath

  • Sleepers and workaholics: caching strategies in mobile environments (extended version)

    Daniel Barbará;Tomasz Imieliński

  • Power efficient filtering of data on air

    T. Imieliński;S. Viswanathan;B. R. Badrinath

  • GPS-based geographic addressing, routing, and resource discovery

    Tomasz Imieliński;Julio C. Navas

  • Sleepers and Workaholics: Caching Strategies in Mobile Environments

    Daniel Barbará;Tomasz Imielinski

Frequent Co-Authors

Arup Acharya
Arup Acharya IBM (United States)
Daniel Barbará
Daniel Barbará George Mason University
Badri Nath
Badri Nath Rutgers, The State University of New Jersey
Jan Chomicki
Jan Chomicki University at Buffalo, State University of New York
Henry F. Korth
Henry F. Korth Lehigh University
Kaan Ozbay
Kaan Ozbay New York University
Ramakrishnan Srikant
Ramakrishnan Srikant Google (United States)
Heikki Mannila
Heikki Mannila Aalto University
Michael J. Carey
Michael J. Carey University of California, Irvine
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University

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