H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 69 Citations 18,965 167 World Ranking 908 National Ranking 77

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Database
  • Computer network

Dimitris Papadias spends much of his time researching Data mining, Nearest neighbor search, k-nearest neighbors algorithm, Spatial database and Spatial query. His Data mining research is multidisciplinary, incorporating perspectives in Window and Point. Dimitris Papadias combines subjects such as Algorithm and Aggregate, Database with his study of Point.

Dimitris Papadias has included themes like The Internet, Focus and Benchmark in his Nearest neighbor search study. His k-nearest neighbors algorithm study combines topics in areas such as Object, Metric, Query optimization and Euclidean distance. The concepts of his Skyline study are interwoven with issues in Sliding window protocol and Overhead.

His most cited work include:

  • Progressive skyline computation in database systems (756 citations)
  • An optimal and progressive algorithm for skyline queries (727 citations)
  • Query processing in spatial network databases (575 citations)

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

Dimitris Papadias mainly investigates Data mining, Theoretical computer science, Spatial database, Spatial query and Database. His work carried out in the field of Data mining brings together such families of science as Algorithm, Search engine indexing and k-nearest neighbors algorithm. His k-nearest neighbors algorithm study integrates concerns from other disciplines, such as Point and Combinatorics.

His studies deal with areas such as Shortest path problem and Graph as well as Theoretical computer science. His research in the fields of Object-based spatial database overlaps with other disciplines such as Spatial relation and Representation. Overhead is closely connected to Correctness in his research, which is encompassed under the umbrella topic of Database.

He most often published in these fields:

  • Data mining (49.50%)
  • Theoretical computer science (19.50%)
  • Spatial database (18.00%)

What were the highlights of his more recent work (between 2010-2021)?

  • Data mining (49.50%)
  • Theoretical computer science (19.50%)
  • Wireless sensor network (4.00%)

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

Dimitris Papadias focuses on Data mining, Theoretical computer science, Wireless sensor network, Skyline and Quality. His Data mining research is multidisciplinary, incorporating elements of Histogram and Spatial clustering. His study in Theoretical computer science is interdisciplinary in nature, drawing from both Machine learning, Topological graph theory, Artificial intelligence and Graph.

His Artificial intelligence research incorporates themes from Spatiotemporal database and Pattern recognition. Dimitris Papadias focuses mostly in the field of Wireless sensor network, narrowing it down to topics relating to Network packet and, in certain cases, Node, Tree, Network topology and Real-time computing. Dimitris Papadias interconnects Algorithm design, Collaborative software and Personalization in the investigation of issues within Skyline.

Between 2010 and 2021, his most popular works were:

  • Differentially private event sequences over infinite streams (100 citations)
  • Agnostic diagnosis: Discovering silent failures in wireless sensor networks (72 citations)
  • A general framework for geo-social query processing (68 citations)

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

  • Artificial intelligence
  • Computer network
  • Database

Data mining, Theoretical computer science, Wireless sensor network, Computer network and Skyline are his primary areas of study. His studies in Data mining integrate themes in fields like Ranking, Information retrieval and Traffic analysis. His biological study spans a wide range of topics, including Clustering coefficient, Topological graph theory and Shortest path problem.

His research in Wireless sensor network intersects with topics in Secret sharing, Encryption and Network packet. The study incorporates disciplines such as Node and Distributed computing in addition to Network packet. His Skyline study combines topics from a wide range of disciplines, such as Algorithm design, Collaborative software, Server and Personalization.

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

Progressive skyline computation in database systems

Dimitris Papadias;Yufei Tao;Greg Fu;Bernhard Seeger.
international conference on management of data (2005)

1047 Citations

An optimal and progressive algorithm for skyline queries

Dimitris Papadias;Yufei Tao;Greg Fu;Bernhard Seeger.
international conference on management of data (2003)

1023 Citations

Preventing Location-Based Identity Inference in Anonymous Spatial Queries

P. Kalnis;G. Ghinita;K. Mouratidis;D. Papadias.
IEEE Transactions on Knowledge and Data Engineering (2007)

935 Citations

Query processing in spatial network databases

Dimitris Papadias;Jun Zhang;Nikos Mamoulis;Yufei Tao.
very large data bases (2003)

887 Citations

The TPR*-tree: an optimized spatio-temporal access method for predictive queries

Yufei Tao;Dimitris Papadias;Jimeng Sun.
very large data bases (2003)

757 Citations

Continuous nearest neighbor search

Yufei Tao;Dimitris Papadias;Qiongmao Shen.
very large data bases (2002)

638 Citations

MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries

Yufei Tao;Dimitris Papadias.
very large data bases (2001)

523 Citations

Conceptual partitioning: an efficient method for continuous nearest neighbor monitoring

Kyriakos Mouratidis;Dimitris Papadias;Marios Hadjieleftheriou.
international conference on management of data (2005)

462 Citations

Computer supported argumentation and collaborative decision making: the HERMES system

Nikos Karacapilidis;Dimitris Papadias.
Information Systems (2001)

457 Citations

Efficient OLAP Operations in Spatial Data Warehouses

Dimitris Papadias;Panos Kalnis;Jun Zhang;Yufei Tao.
symposium on large spatial databases (2001)

448 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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