D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 53 Citations 42,792 140 World Ranking 3087 National Ranking 1608

Overview

What is he best known for?

The fields of study he is best known for:

  • Database
  • Computer network
  • The Internet

Tomasz Imielinski mainly focuses on Computer network, Database, Distributed computing, Data mining and Communication channel. His work on Wireless sensor network as part of his general Computer network study is frequently connected to Access time, Energy consumption and Battery, thereby bridging the divide between different branches of science. Tomasz Imielinski combines subjects such as Decision tree, Association rule learning, Decision theory and FSA-Red Algorithm with his study of Database.

He does research in Association rule learning, focusing on Affinity analysis specifically. His Distributed computing study integrates concerns from other disciplines, such as Routing, Data management, Database index, Cluster analysis and Geocast. In general Data mining study, his work on Very large database and GSP Algorithm often relates to the realm of Population Database, thereby connecting several areas of interest.

His most cited work include:

  • Mining association rules between sets of items in large databases (13162 citations)
  • Database mining: a performance perspective (1299 citations)
  • Incomplete Information in Relational Databases (924 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Computer network, Database, Distributed computing, Theoretical computer science and Wireless. His work on Server is typically connected to Access time as part of general Computer network study, connecting several disciplines of science. His Database research incorporates themes from Association rule learning and Data mining.

His Distributed computing research includes themes of Scheme, Routing, Mobile computing and Network packet. His Theoretical computer science research includes elements of Discrete mathematics, Relational database, Set and Circumscription. His Wireless research is multidisciplinary, incorporating perspectives in Field and Data management.

He most often published in these fields:

  • Computer network (26.26%)
  • Database (18.18%)
  • Distributed computing (17.17%)

What were the highlights of his more recent work (between 2001-2015)?

  • Computer network (26.26%)
  • Portfolio (4.04%)
  • Wireless (12.12%)

In recent papers he was focusing on the following fields of study:

Tomasz Imielinski mainly investigates Computer network, Portfolio, Wireless, Wireless sensor network and Equity. His Computer network study combines topics in areas such as Dissemination and Flow network. His research in Portfolio tackles topics such as Cluster analysis which are related to areas like Pairwise comparison, Hedge and Correlation.

Tomasz Imielinski integrates many fields, such as Wireless and Graffiti, in his works. His Distributed computing research extends to Wireless sensor network, which is thematically connected. His Distributed computing research includes themes of Latency and Network packet.

Between 2001 and 2015, his most popular works were:

  • Cubegrades: Generalizing Association Rules (87 citations)
  • Ascertaining viability of WiFi based vehicle-to-vehicle network for traffic information dissemination (57 citations)
  • Wireless graffiti: data, data everywhere (30 citations)

In his most recent research, the most cited papers focused on:

  • The Internet
  • Database
  • Computer network

Tomasz Imielinski mainly investigates Dissemination, Traffic congestion, Computer network, Flow network and Software deployment. The Dissemination study combines topics in areas such as Cover, Scalability, Vehicle-to-vehicle and Vehicular ad hoc network. His Traffic congestion study spans across into fields like Information Dissemination, Wireless ad hoc network, Wireless lan, Computer security and Network traffic control.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Mining association rules between sets of items in large databases

Rakesh Agrawal;Tomasz Imieliński;Arun Swami.
international conference on management of data (1993)

24631 Citations

Mining association rules between sets of items in large databases

Rakesh Agrawal;Tomasz Imieliński;Arun Swami.
international conference on management of data (1993)

24631 Citations

Database mining: a performance perspective

R. Agrawal;T. Imielinski;A. Swami.
IEEE Transactions on Knowledge and Data Engineering (1993)

2376 Citations

Database mining: a performance perspective

R. Agrawal;T. Imielinski;A. Swami.
IEEE Transactions on Knowledge and Data Engineering (1993)

2376 Citations

Incomplete Information in Relational Databases

Tomasz Imieliński;Witold Lipski.
Journal of the ACM (1984)

1280 Citations

Incomplete Information in Relational Databases

Tomasz Imieliński;Witold Lipski.
Journal of the ACM (1984)

1280 Citations

Mobile wireless computing: challenges in data management

Tomasz Imielinski;B. R. Badrinath.
Communications of The ACM (1994)

1005 Citations

Mobile wireless computing: challenges in data management

Tomasz Imielinski;B. R. Badrinath.
Communications of The ACM (1994)

1005 Citations

Data on air: organization and access

T. Imielinski;S. Viswanathan;B.R. Badrinath.
IEEE Transactions on Knowledge and Data Engineering (1997)

926 Citations

Data on air: organization and access

T. Imielinski;S. Viswanathan;B.R. Badrinath.
IEEE Transactions on Knowledge and Data Engineering (1997)

926 Citations

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