H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 136 Citations 86,818 659 World Ranking 24 National Ranking 16

Research.com Recognitions

Awards & Achievements

2010 - ACM Fellow For contributions to data mining, indexing, fractals, and power laws.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Statistics

His scientific interests lie mostly in Data mining, Theoretical computer science, Artificial intelligence, Graph and Algorithm. His work in Data mining covers topics such as Access method which are related to areas like Information retrieval. The concepts of his Theoretical computer science study are interwoven with issues in Random geometric graph, Adjacency matrix, Graph theory, Line graph and Node.

His Artificial intelligence research integrates issues from Machine learning, Computer vision and Pattern recognition. His study focuses on the intersection of Graph and fields such as Scalability with connections in the field of Transfer of learning, Graph and The Internet. He has included themes like Discrete mathematics and Cluster analysis in his Algorithm study.

His most cited work include:

  • On power-law relationships of the Internet topology (4249 citations)
  • Graphs over time: densification laws, shrinking diameters and possible explanations (1863 citations)
  • QBIC project: querying images by content, using color, texture, and shape (1779 citations)

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

His primary areas of investigation include Data mining, Theoretical computer science, Artificial intelligence, Graph and Algorithm. The various areas that Christos Faloutsos examines in his Data mining study include Scalability, Outlier and Cluster analysis. His research integrates issues of Graph theory and Graph in his study of Theoretical computer science.

His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Computer vision and Pattern recognition.

He most often published in these fields:

  • Data mining (29.29%)
  • Theoretical computer science (22.06%)
  • Artificial intelligence (18.75%)

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

  • Graph (15.56%)
  • Anomaly detection (12.13%)
  • Algorithm (13.48%)

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

Christos Faloutsos mainly focuses on Graph, Anomaly detection, Algorithm, Scalability and Theoretical computer science. The Graph study combines topics in areas such as Detector and PageRank. His Anomaly detection research is under the purview of Artificial intelligence.

Christos Faloutsos works mostly in the field of Algorithm, limiting it down to concerns involving Streaming algorithm and, occasionally, Triangle counting and STREAMS. In his study, which falls under the umbrella issue of Scalability, Task, Time complexity and Topological graph theory is strongly linked to Data mining. Christos Faloutsos usually deals with Theoretical computer science and limits it to topics linked to Graph and Knowledge graph and Information retrieval.

Between 2016 and 2021, his most popular works were:

  • Tensor Decomposition for Signal Processing and Machine Learning (639 citations)
  • REV2: Fraudulent User Prediction in Rating Platforms (107 citations)
  • Robust Data-Driven State Estimation for Smart Grid (58 citations)

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

  • Artificial intelligence
  • Operating system
  • Statistics

The scientist’s investigation covers issues in Anomaly detection, Theoretical computer science, Algorithm, Data mining and Scalability. His research investigates the connection between Anomaly detection and topics such as Boosting that intersect with issues in Online algorithm, PageRank and Denial-of-service attack. His studies in Theoretical computer science integrate themes in fields like Inference, Artificial intelligence, Knowledge graph, Rank and Machine learning.

His Artificial intelligence research is multidisciplinary, incorporating perspectives in Key, Function and Pattern recognition. His research in Algorithm intersects with topics in Embedding, Graph embedding, Graph, Upper and lower bounds and Planar straight-line graph. His studies in Data mining integrate themes in fields like Reliability, Social network, Outlier, Cold start and Robustness.

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

On power-law relationships of the Internet topology

Michalis Faloutsos;Petros Faloutsos;Christos Faloutsos.
acm special interest group on data communication (1999)

7145 Citations

QBIC project: querying images by content, using color, texture, and shape

Carlton Wayne Niblack;Ron Barber;Will Equitz;Myron D. Flickner.
Storage and Retrieval for Image and Video Databases (1993)

2963 Citations

Efficient Similarity Search In Sequence Databases

Rakesh Agrawal;Christos Faloutsos;Arun N. Swami.
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms (1993)

2884 Citations

Graphs over time: densification laws, shrinking diameters and possible explanations

Jure Leskovec;Jon Kleinberg;Christos Faloutsos.
knowledge discovery and data mining (2005)

2560 Citations

Fast subsequence matching in time-series databases

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

2557 Citations

Graph evolution: Densification and shrinking diameters

Jure Leskovec;Jon Kleinberg;Christos Faloutsos.
ACM Transactions on Knowledge Discovery From Data (2007)

2297 Citations

The R+-Tree: A Dynamic Index for Multi-Dimensional Objects

Timos K. Sellis;Nick Roussopoulos;Christos Faloutsos.
very large data bases (1987)

2265 Citations

Cost-effective outbreak detection in networks

Jure Leskovec;Andreas Krause;Carlos Guestrin;Christos Faloutsos.
knowledge discovery and data mining (2007)

2203 Citations

Efficient and effective querying by image content

C. Faloutsos;R. Barber;M. Flickner;J. Hafner.
intelligent information systems (1994)

2053 Citations

FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets

Christos Faloutsos;King-Ip Lin.
international conference on management of data (1995)

1502 Citations

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Hong Kong University of Science and Technology

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