D-Index & Metrics Best Publications

D-Index & Metrics

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 32 Citations 5,684 105 World Ranking 7432 National Ranking 52

Overview

What is he best known for?

The fields of study he is best known for:

  • Database
  • Operating system
  • Artificial intelligence

The scientist’s investigation covers issues in Data mining, Representation, Aggregate, Distributed computing and Theoretical computer science. His research in Data mining intersects with topics in Database server, Process and Wavelet. His Representation research incorporates elements of Data stream mining and Relation.

His work deals with themes such as Key and Data warehouse, which intersect with Aggregate. His Distributed computing research incorporates themes from Data acquisition, Key distribution in wireless sensor networks, Wireless sensor network and Snapshot. Yannis Kotidis has included themes like Skyline computation, Skyline and Partition in his Theoretical computer science study.

His most cited work include:

  • Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries (387 citations)
  • Fast, small-space algorithms for approximate histogram maintenance (238 citations)
  • DynaMat: a dynamic view management system for data warehouses (205 citations)

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

His primary areas of study are Data mining, Theoretical computer science, Wireless sensor network, Aggregate and Information retrieval. His study of Query optimization is a part of Data mining. His biological study spans a wide range of topics, including Nearest neighbor search, Containment and Graph.

His Wireless sensor network research integrates issues from Distributed computing, Key distribution in wireless sensor networks, Visual sensor network, Outlier and Real-time computing. His Aggregate research is multidisciplinary, relying on both Data aggregator, Reduction, Tree and Data warehouse, Online analytical processing. His Information retrieval study combines topics in areas such as Ranking and Information integration.

He most often published in these fields:

  • Data mining (39.83%)
  • Theoretical computer science (21.19%)
  • Wireless sensor network (17.80%)

What were the highlights of his more recent work (between 2014-2020)?

  • Ontology (9.32%)
  • Data mining (39.83%)
  • Theoretical computer science (21.19%)

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

His scientific interests lie mostly in Ontology, Data mining, Theoretical computer science, Graph and Siemens. His studies deal with areas such as Query language, Data access, Relational database and Semantic Web as well as Ontology. In his work, Aggregate is strongly intertwined with Analytics, which is a subfield of Query language.

His Semantic Web course of study focuses on Database and Information retrieval. He is interested in Data domain, which is a branch of Data mining. His Graph research is multidisciplinary, incorporating elements of Entropy, Graph and Data cube.

Between 2014 and 2020, his most popular works were:

  • Ontology Based Data Access in Statoil (60 citations)
  • Semantic access to streaming and static data at Siemens (53 citations)
  • Ontology-Based Integration of Streaming and Static Relational Data with Optique (35 citations)

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

  • Database
  • Operating system
  • Artificial intelligence

Yannis Kotidis spends much of his time researching Ontology, Data access, Task, Distributed computing and Query language. His study in Ontology is interdisciplinary in nature, drawing from both Database and Semantic Web. His Task study integrates concerns from other disciplines, such as Data stream mining, Analytics, Information retrieval and Distributed Computing Environment.

Analytics is a subfield of Data mining that Yannis Kotidis studies. Distributed computing connects with themes related to Information integration in his study. His Query language research includes themes of Computer architecture, Data integration and Interface.

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

Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries

Anna C. Gilbert;Yannis Kotidis;S. Muthukrishnan;Martin Strauss.
very large data bases (2001)

567 Citations

Dwarf: shrinking the PetaCube

Yannis Sismanis;Antonios Deligiannakis;Nick Roussopoulos;Yannis Kotidis.
international conference on management of data (2002)

381 Citations

Fast, small-space algorithms for approximate histogram maintenance

Anna C. Gilbert;Sudipto Guha;Piotr Indyk;Yannis Kotidis.
symposium on the theory of computing (2002)

356 Citations

DynaMat: a dynamic view management system for data warehouses

Yannis Kotidis;Nick Roussopoulos.
international conference on management of data (1999)

333 Citations

Compressing historical information in sensor networks

Antonios Deligiannakis;Yannis Kotidis;Nick Roussopoulos.
international conference on management of data (2004)

233 Citations

Snapshot queries: towards data-centric sensor networks

Y. Kotidis.
international conference on data engineering (2005)

232 Citations

How to summarize the universe: dynamic maintenance of quantiles

Anna C. Gilbert;Yannis Kotidis;S. Muthukrishnan;Martin J. Strauss.
very large data bases (2002)

232 Citations

Cubetree: organization of and bulk incremental updates on the data cube

Nick Roussopoulos;Yannis Kotidis;Mema Roussopoulos.
international conference on management of data (1997)

223 Citations

Hierarchical In-Network Data Aggregation with Quality Guarantees

Antonios Deligiannakis;Yannis Kotidis;Nick Roussopoulos.
extending database technology (2004)

219 Citations

Angle-based space partitioning for efficient parallel skyline computation

Akrivi Vlachou;Christos Doulkeridis;Yannis Kotidis.
international conference on management of data (2008)

195 Citations

Best Scientists Citing Yannis Kotidis

Minos Garofalakis

Minos Garofalakis

Technical University of Crete

Publications: 45

Graham Cormode

Graham Cormode

University of Warwick

Publications: 38

Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

Publications: 34

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 31

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 28

Nikos Mamoulis

Nikos Mamoulis

University of Ioannina

Publications: 28

Dimitrios Gunopulos

Dimitrios Gunopulos

National and Kapodistrian University of Athens

Publications: 27

Sudipto Guha

Sudipto Guha

University of Pennsylvania

Publications: 26

s muthukrishnan

s muthukrishnan

Rutgers, The State University of New Jersey

Publications: 24

Piotr Indyk

Piotr Indyk

MIT

Publications: 24

Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

Publications: 19

Divesh Srivastava

Divesh Srivastava

AT&T (United States)

Publications: 18

Martin J. Strauss

Martin J. Strauss

University of Michigan–Ann Arbor

Publications: 18

Jianliang Xu

Jianliang Xu

Hong Kong Baptist University

Publications: 18

Jian Pei

Jian Pei

Simon Fraser University

Publications: 18

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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