H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 60 Citations 15,176 328 World Ranking 1569 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Database

The scientist’s investigation covers issues in Data mining, Artificial intelligence, Recommender system, Information retrieval and Cluster analysis. The Data mining study combines topics in areas such as Object and Path. Yannis Manolopoulos interconnects Machine learning, Metric and Pattern recognition in the investigation of issues within Artificial intelligence.

The concepts of his Recommender system study are interwoven with issues in Accuracy improvement, Credibility, Higher-order singular value decomposition and Contrast. His Information retrieval research incorporates elements of Access method, Metadata and Dimensionality reduction. His Search engine indexing study deals with Time series database intersecting with Database.

His most cited work include:

  • Fast subsequence matching in time-series databases (1608 citations)
  • Data Mining techniques for the detection of fraudulent financial statements (404 citations)
  • Generalized Hirsch h-index for disclosing latent facts in citation networks (319 citations)

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

Data mining, Algorithm, Information retrieval, Search engine indexing and Theoretical computer science are his primary areas of study. His Data mining study incorporates themes from Access method, Database, Recommender system and Cluster analysis, Artificial intelligence. Specifically, his work in Recommender system is concerned with the study of Collaborative filtering.

His Artificial intelligence research includes elements of Machine learning and Pattern recognition. A large part of his Algorithm studies is devoted to Quadtree. He has researched Search engine indexing in several fields, including Scalability and Data structure.

He most often published in these fields:

  • Data mining (30.13%)
  • Algorithm (14.63%)
  • Information retrieval (13.10%)

What were the highlights of his more recent work (between 2016-2021)?

  • Data science (7.86%)
  • Data mining (30.13%)
  • Information retrieval (13.10%)

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

Yannis Manolopoulos mostly deals with Data science, Data mining, Information retrieval, Skyline and Recommender system. The various areas that Yannis Manolopoulos examines in his Data science study include Scientometrics, Categorization, Data analysis and Big data. His Data mining research is multidisciplinary, incorporating elements of Context, Access method, Spatial database, Spatial query and Collaborative filtering.

Yannis Manolopoulos works on Information retrieval which deals in particular with Search engine indexing. His work carried out in the field of Search engine indexing brings together such families of science as Tree based and Data structure. His studies deal with areas such as Artificial intelligence and Social network as well as Recommender system.

Between 2016 and 2021, his most popular works were:

  • Preference dynamics with multimodal user-item interactions in social media recommendation (37 citations)
  • A time-aware spatio-textual recommender system (31 citations)
  • Recommendations based on a heterogeneous spatio-temporal social network (15 citations)

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

  • Artificial intelligence
  • Operating system
  • Database

Yannis Manolopoulos mainly focuses on Data mining, Recommender system, Information and Computer Science, Information retrieval and Big data. Yannis Manolopoulos has included themes like Scalability, Theoretical computer science, Social network, Artificial intelligence and Join in his Data mining study. His Artificial intelligence study frequently draws parallels with other fields, such as Machine learning.

His Recommender system study also includes

  • Presentation together with Remote assistance,
  • Decision support system which connect with Data type and Temporal database. His Collaborative filtering study in the realm of Information retrieval interacts with subjects such as Social influence. The study incorporates disciplines such as Data science, Task and Closest pair of points problem in addition to Big data.

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

Fast subsequence matching in time-series databases

Christos Faloutsos;M. Ranganathan;Yannis Manolopoulos.
international conference on management of data (1994)

2557 Citations

Data Mining techniques for the detection of fraudulent financial statements

Efstathios Kirkos;Charalambos Spathis;Yannis Manolopoulos.
Expert Systems With Applications (2007)

814 Citations

Generalized Hirsch h-index for disclosing latent facts in citation networks

Antonis Sidiropoulos;Dimitrios Katsaros;Yannis Manolopoulos.
Scientometrics (2007)

563 Citations

R-Trees: Theory and Applications

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

498 Citations

A data mining approach for location prediction in mobile environments

Gökhan Yavas;Dimitrios Katsaros;Özgür Ulusoy;Yannis Manolopoulos.
data and knowledge engineering (2005)

428 Citations

Closest pair queries in spatial databases

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

405 Citations

Tag recommendations based on tensor dimensionality reduction

Panagiotis Symeonidis;Alexandros Nanopoulos;Yannis Manolopoulos.
conference on recommender systems (2008)

392 Citations

Feature-based classification of time-series data

Alex Nanopoulos;Rob Alcock;Yannis Manolopoulos.
Information processing and technology (2001)

332 Citations

A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis

P. Symeonidis;A. Nanopoulos;Y. Manolopoulos.
IEEE Transactions on Knowledge and Data Engineering (2010)

252 Citations

C2P: Clustering based on Closest Pairs

Alexandros Nanopoulos;Yannis Theodoridis;Yannis Manolopoulos.
very large data bases (2001)

242 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.

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

Contact us

Top Scientists Citing Yannis Manolopoulos

Eamonn Keogh

Eamonn Keogh

University of California, Riverside

Publications: 73

Hans-Peter Kriegel

Hans-Peter Kriegel

Ludwig-Maximilians-Universität München

Publications: 43

Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

Publications: 41

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 38

Yannis Theodoridis

Yannis Theodoridis

University of Piraeus

Publications: 37

Thomas Seidl

Thomas Seidl

Ludwig-Maximilians-Universität München

Publications: 34

Nikos Mamoulis

Nikos Mamoulis

University of Ioannina

Publications: 32

Christian S. Jensen

Christian S. Jensen

Aalborg University

Publications: 30

Dimitrios Gunopulos

Dimitrios Gunopulos

National and Kapodistrian University of Athens

Publications: 30

Shashi Shekhar

Shashi Shekhar

University of Minnesota

Publications: 27

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

Publications: 26

Dimitris Papadias

Dimitris Papadias

Hong Kong University of Science and Technology

Publications: 25

Themis Palpanas

Themis Palpanas

Université Paris Cité

Publications: 24

George Kollios

George Kollios

Boston University

Publications: 22

Yufei Tao

Yufei Tao

Chinese University of Hong Kong

Publications: 22

Something went wrong. Please try again later.