H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 51 Citations 12,680 174 World Ranking 2773 National Ranking 9

Research.com Recognitions

Awards & Achievements

2018 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Database
  • Operating system

Yannis Theodoridis mainly focuses on Data mining, Object, Set, Spatial query and Cluster analysis. His study in Data mining is interdisciplinary in nature, drawing from both Tree and Algorithm. His work in Object is not limited to one particular discipline; it also encompasses Global Positioning System.

The various areas that he examines in his Set study include Theoretical computer science, Database, Generator, Transaction time and Synthetic data. The study incorporates disciplines such as Data stream, Similarity and Pattern recognition in addition to Cluster analysis. His work deals with themes such as Data modeling, Search engine indexing and Domain, which intersect with Temporal database.

His most cited work include:

  • State-of-the-art in privacy preserving data mining (730 citations)
  • Novel Approaches in Query Processing for Moving Object Trajectories (448 citations)
  • Semantic trajectories modeling and analysis (361 citations)

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

His scientific interests lie mostly in Data mining, Data science, Information retrieval, Search engine indexing and Data management. His Data mining study combines topics in areas such as Object, Spatial database, Scalability and Cluster analysis. His study explores the link between Spatial database and topics such as Temporal database that cross with problems in Data modeling and Set.

His Data science research includes themes of Visualization, Data processing, Knowledge extraction and Big data. Yannis Theodoridis has included themes like Access method and Tree in his Search engine indexing study. Yannis Theodoridis combines subjects such as Domain and Data warehouse with his study of Data management.

He most often published in these fields:

  • Data mining (45.89%)
  • Data science (16.02%)
  • Information retrieval (14.72%)

What were the highlights of his more recent work (between 2015-2021)?

  • Data mining (45.89%)
  • Data science (16.02%)
  • Big data (6.93%)

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

The scientist’s investigation covers issues in Data mining, Data science, Big data, Data analysis and Scalability. The concepts of his Data mining study are interwoven with issues in Process, Cluster analysis, Trajectory clustering, Object and Programming paradigm. His Object research is multidisciplinary, relying on both Semantics, Field and Search engine indexing.

Search engine indexing is a subfield of Information retrieval that Yannis Theodoridis tackles. His Data science research incorporates themes from World Wide Web, Visualization, Data processing and Data integration. His biological study spans a wide range of topics, including Event recognition, Noise and Robustness.

Between 2015 and 2021, his most popular works were:

  • Online event recognition from moving vessel trajectories (71 citations)
  • Mobility Data Management and Exploration (57 citations)
  • Maritime data integration and analysis: Recent progress and research challenges (25 citations)

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

  • Artificial intelligence
  • Database
  • Operating system

His primary scientific interests are in Data mining, Cluster analysis, Scalability, Data science and Object. His Data mining research is multidisciplinary, incorporating perspectives in Data stream clustering and Similarity. His study in Cluster analysis is interdisciplinary in nature, drawing from both Sampling, Anomaly detection, State and Knowledge extraction.

His Scalability research is multidisciplinary, incorporating elements of Event recognition, Real-time computing and Programming paradigm. His Data science research incorporates themes from Domain, Visualization and Data integration. His Object research focuses on subjects like Search engine indexing, which are linked to Constraint, Tree, Filter, Data processing and Data management.

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

State-of-the-art in privacy preserving data mining

Vassilios S. Verykios;Elisa Bertino;Igor Nai Fovino;Loredana Parasiliti Provenza.
international conference on management of data (2004)

1078 Citations

Novel Approaches to the Indexing of Moving Object Trajectories

Dieter Pfoser;Christian S. Jensen;Yannis Theodoridis.
very large data bases (2000)

986 Citations

Novel Approaches in Query Processing for Moving Object Trajectories

Dieter Pfoser;Christian S. Jensen;Yannis Theodoridis.
very large data bases (2000)

671 Citations

Semantic trajectories modeling and analysis

Christine Parent;Stefano Spaccapietra;Chiara Renso;Gennady Andrienko.
ACM Computing Surveys (2013)

540 Citations

R-Trees: Theory and Applications

Yannis Manolopoulos;Alexandros Nanopoulos;Apostolos N. Papadopoulos;Yannis Theodoridis.
(2005)

498 Citations

On the Generation of Spatiotemporal Datasets

Yannis Theodoridis;Jefferson R. O. Silva;Mario A. Nascimento.
Lecture Notes in Computer Science (1999)

445 Citations

Closest pair queries in spatial databases

Antonio Corral;Yannis Manolopoulos;Yannis Theodoridis;Michael Vassilakopoulos.
international conference on management of data (2000)

405 Citations

Topological relations in the world of minimum bounding rectangles: a study with R-trees

Dimitris Papadias;Timos Sellis;Yannis Theodoridis;Max J. Egenhofer.
international conference on management of data (1995)

391 Citations

A model for the prediction of R-tree performance

Yannis Theodoridis;Timos Sellis.
symposium on principles of database systems (1996)

359 Citations

Literature review of spatio-temporal database models

Nikos Pelekis;Babis Theodoulidis;Ioannis Kopanakis;Yannis Theodoridis.
Knowledge Engineering Review (2004)

338 Citations

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

Contact us

Best Scientists Citing Yannis Theodoridis

Dimitris Papadias

Dimitris Papadias

Hong Kong University of Science and Technology

Publications: 67

Christian S. Jensen

Christian S. Jensen

Aalborg University

Publications: 57

Yannis Manolopoulos

Yannis Manolopoulos

Open University of Cyprus

Publications: 57

Nikos Mamoulis

Nikos Mamoulis

University of Ioannina

Publications: 48

Yufei Tao

Yufei Tao

Chinese University of Hong Kong

Publications: 46

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

Publications: 38

Ralf Hartmut Güting

Ralf Hartmut Güting

University of Hagen

Publications: 37

Gennady Andrienko

Gennady Andrienko

Fraunhofer Institute for Intelligent Analysis and Information Systems

Publications: 32

Natalia Andrienko

Natalia Andrienko

Fraunhofer Society

Publications: 31

Yu Zheng

Yu Zheng

Jingdong (China)

Publications: 26

Kai Zheng

Kai Zheng

Huawei Technologies (China)

Publications: 25

Vassilis J. Tsotras

Vassilis J. Tsotras

University of California, Riverside

Publications: 24

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 24

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 24

Timos Sellis

Timos Sellis

Swinburne University of Technology

Publications: 23

Xing Xie

Xing Xie

Microsoft (United States)

Publications: 23

Something went wrong. Please try again later.