H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 72 Citations 24,226 243 World Ranking 736 National Ranking 2

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Data mining

The scientist’s investigation covers issues in Data mining, Artificial intelligence, Cluster analysis, Search engine indexing and Pattern recognition. Dimitrios Gunopulos integrates several fields in his works, including Data mining and Constraint. Representation is closely connected to Machine learning in his research, which is encompassed under the umbrella topic of Artificial intelligence.

In Cluster analysis, Dimitrios Gunopulos works on issues like Algorithm, which are connected to Temporal database. In general Pattern recognition study, his work on Dimensionality reduction and k-nearest neighbors algorithm often relates to the realm of Similarity, thereby connecting several areas of interest. Dimitrios Gunopulos focuses mostly in the field of CURE data clustering algorithm, narrowing it down to matters related to Clustering high-dimensional data and, in some cases, Fuzzy clustering and Curse of dimensionality.

His most cited work include:

  • Automatic subspace clustering of high dimensional data for data mining applications (2306 citations)
  • Discovering similar multidimensional trajectories (1127 citations)
  • Mining Process Models from Workflow Logs (707 citations)

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

His main research concerns Data mining, Artificial intelligence, Search engine indexing, Wireless sensor network and Cluster analysis. When carried out as part of a general Data mining research project, his work on Temporal database is frequently linked to work in Context, therefore connecting diverse disciplines of study. Dimitrios Gunopulos works mostly in the field of Artificial intelligence, limiting it down to topics relating to Pattern recognition and, in certain cases, Curse of dimensionality, as a part of the same area of interest.

His work carried out in the field of Search engine indexing brings together such families of science as Object, Theoretical computer science and Longest common subsequence problem. His Wireless sensor network research also works with subjects such as

  • Distributed computing and related Scalability,
  • Real-time computing and related Global Positioning System. All of his Cluster analysis and Correlation clustering, CURE data clustering algorithm, Canopy clustering algorithm, Clustering high-dimensional data and Fuzzy clustering investigations are sub-components of the entire Cluster analysis study.

He most often published in these fields:

  • Data mining (36.27%)
  • Artificial intelligence (16.27%)
  • Search engine indexing (12.88%)

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

  • Data mining (36.27%)
  • Global Positioning System (3.39%)
  • Data science (8.81%)

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

Dimitrios Gunopulos mostly deals with Data mining, Global Positioning System, Data science, Trajectory and Social network. He combines subjects such as Point cloud, Competitor analysis and Cluster analysis with his study of Data mining. His work on Gps data is typically connected to Location data, Sequence and City scale as part of general Global Positioning System study, connecting several disciplines of science.

His Data science research is multidisciplinary, incorporating elements of Social media and Data management. The Social network study combines topics in areas such as Anomaly detection and Mathematical optimization. Within one scientific family, Dimitrios Gunopulos focuses on topics pertaining to Map matching under Location-based service, and may sometimes address concerns connected to Artificial intelligence.

Between 2015 and 2021, his most popular works were:

  • City-Scale Map Creation and Updating using GPS Collections (39 citations)
  • Detecting Events in Online Social Networks: Definitions, Trends and Challenges (34 citations)
  • Intelligent Urban Data Monitoring for Smart Cities (25 citations)

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

  • Artificial intelligence
  • Machine learning
  • Database

His primary areas of study are Data mining, Competitor analysis, Data science, Global Positioning System and Real-time computing. His study in Data mining is interdisciplinary in nature, drawing from both Point cloud, Graph and Web mining. His studies in Competitor analysis integrate themes in fields like Computer security, Misinformation and Optimization problem.

His Data science research includes themes of Field, Open research, Social media and Data management. His study explores the link between Global Positioning System and topics such as Path that cross with problems in Baseline, Taxis and Artificial intelligence. His work deals with themes such as Dynamic load balancing, Load balancing, Distributed computing and State management, which intersect with Real-time computing.

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.

Top Publications

Automatic subspace clustering of high dimensional data for data mining applications

Rakesh Agrawal;Johannes Gehrke;Dimitrios Gunopulos;Prabhakar Raghavan.
international conference on management of data (1998)

3827 Citations

Discovering similar multidimensional trajectories

M. Vlachos;G. Kollios;D. Gunopulos.
international conference on data engineering (2002)

1598 Citations

Mining Process Models from Workflow Logs

Rakesh Agrawal;Dimitrios Gunopulos;Frank Leymann.
extending database technology (1998)

1137 Citations

Constraint-Based Rule Mining in Large, Dense Databases

Roberto J. Bayardo;Rakesh Agrawal;Dimitrios Gunopulos.
Data Mining and Knowledge Discovery (2000)

772 Citations

A local search mechanism for peer-to-peer networks

Vana Kalogeraki;Dimitrios Gunopulos;D. Zeinalipour-Yazti.
conference on information and knowledge management (2002)

611 Citations

Online outlier detection in sensor data using non-parametric models

S. Subramaniam;T. Palpanas;D. Papadopoulos;V. Kalogeraki.
very large data bases (2006)

529 Citations

On indexing mobile objects

George Kollios;Dimitrios Gunopulos;Vassilis J. Tsotras.
symposium on principles of database systems (1999)

527 Citations

Indexing multi-dimensional time-series with support for multiple distance measures

Michail Vlachos;Marios Hadjieleftheriou;Dimitrios Gunopulos;Eamonn Keogh.
knowledge discovery and data mining (2003)

499 Citations

Finding Similar Time Series

Gautam Das;Dimitrios Gunopulos;Heikki Mannila.
european conference on principles of data mining and knowledge discovery (1997)

447 Citations

Locally adaptive metric nearest-neighbor classification

C. Domeniconi;Jing Peng;D. Gunopulos.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

390 Citations

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

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