H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 41 Citations 10,395 119 World Ranking 4316 National Ranking 2170

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Database

Daniel Barbará mainly investigates Data mining, Artificial intelligence, Distributed computing, Cache invalidation and Server. His Data mining research incorporates elements of Data stream clustering and Cluster analysis. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition.

His work on Mutual exclusion as part of general Distributed computing research is often related to Group, A priori and a posteriori and Maekawa's algorithm, thus linking different fields of science. His studies deal with areas such as Misuse detection and The Internet as well as Server. His Cache study combines topics from a wide range of disciplines, such as Variety, Overhead and Information retrieval.

His most cited work include:

  • How to assign votes in a distributed system (534 citations)
  • Sleepers and workaholics: caching strategies in mobile environments (441 citations)
  • The management of probabilistic data (436 citations)

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

The scientist’s investigation covers issues in Data mining, Artificial intelligence, Distributed computing, Computer security and Cluster analysis. His Data mining research includes elements of Pairwise comparison and Outlier. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition.

His Machine learning research incorporates elements of Topic model and Benchmark. His biological study spans a wide range of topics, including Computer network and Server. The various areas that Daniel Barbará examines in his Cluster analysis study include Categorical variable and Data set.

He most often published in these fields:

  • Data mining (22.07%)
  • Artificial intelligence (17.24%)
  • Distributed computing (14.48%)

What were the highlights of his more recent work (between 2011-2020)?

  • Data mining (22.07%)
  • Anomaly detection (8.28%)
  • Cluster analysis (11.72%)

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

His main research concerns Data mining, Anomaly detection, Cluster analysis, Artificial intelligence and Computer security. His Data mining study frequently draws connections between adjacent fields such as False positive rate. The concepts of his Anomaly detection study are interwoven with issues in Login, Password, Modality, Identity and Gesture.

Daniel Barbará combines subjects such as Speech recognition and Representation with his study of Cluster analysis. Daniel Barbará has included themes like Machine learning and Pattern recognition in his Artificial intelligence study. His studies in Computer security integrate themes in fields like Automaton, Variety and Software system.

Between 2011 and 2020, his most popular works were:

  • Continuous Authentication on Mobile Devices Using Power Consumption, Touch Gestures and Physical Movement of Users (38 citations)
  • A Survey of Computational Methods for Protein Function Prediction (30 citations)
  • Active authentication of users (29 citations)

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

  • Operating system
  • Artificial intelligence
  • Database

Daniel Barbará mainly focuses on Data mining, Cluster analysis, Metagenomics, Locality-sensitive hashing and Authentication. His Data mining research integrates issues from Computational complexity theory and Pairwise comparison. His Sequence clustering study, which is part of a larger body of work in Cluster analysis, is frequently linked to Sensitivity, bridging the gap between disciplines.

His Authentication study frequently links to related topics such as Biometrics. His research on Species diversity concerns the broader Ecology. His research on Source code frequently links to adjacent areas such as Anomaly detection.

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

How to assign votes in a distributed system

Hector Garcia-Molina;Daniel Barbara.
Journal of the ACM (1985)

802 Citations

Sleepers and workaholics: caching strategies in mobile environments

Daniel Barbará;Tomasz Imielinski.
international conference on management of data (1994)

762 Citations

Mobile computing and databases-a survey

D. Barbara.
IEEE Transactions on Knowledge and Data Engineering (1999)

672 Citations

The management of probabilistic data

D. Barbara;H. Garcia-Molina;D. Porter.
IEEE Transactions on Knowledge and Data Engineering (1992)

612 Citations

On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking

L. AlSumait;D. Barbara;C. Domeniconi.
international conference on data mining (2008)

568 Citations

COOLCAT: an entropy-based algorithm for categorical clustering

Daniel Barbará;Yi Li;Julia Couto.
conference on information and knowledge management (2002)

506 Citations

Data caching issues in an information retrieval system

Rafael Alonso;Daniel Barbara;Hector Garcia-Molina.
ACM Transactions on Database Systems (1990)

500 Citations

DETECTING NOVEL NETWORK INTRUSIONS USING BAYES ESTIMATORS

Daniel Barbará;Ningning Wu;Sushil Jajodia.
siam international conference on data mining (2001)

458 Citations

The New Jersey Data Reduction Report.

Daniel Barbará;William DuMouchel;Christos Faloutsos;Peter J. Haas.
IEEE Data(base) Engineering Bulletin (1997)

365 Citations

ADAM: a testbed for exploring the use of data mining in intrusion detection

Daniel Barbará;Julia Couto;Sushil Jajodia;Ningning Wu.
international conference on management of data (2001)

325 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 Daniel Barbará

Ming-Syan Chen

Ming-Syan Chen

National Taiwan University

Publications: 41

Gregory L. Slaughter

Gregory L. Slaughter

Oracle (United States)

Publications: 40

Thomas E. Saulpaugh

Thomas E. Saulpaugh

Oracle (United States)

Publications: 37

Bernard A. Traversat

Bernard A. Traversat

Oracle (United States)

Publications: 30

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 28

Sushil Jajodia

Sushil Jajodia

George Mason University

Publications: 28

Jennifer Widom

Jennifer Widom

Stanford University

Publications: 27

Peng Liu

Peng Liu

Chinese Academy of Sciences

Publications: 26

Thomas R. Gruber

Thomas R. Gruber

Apple (United States)

Publications: 25

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 24

Makoto Takizawa

Makoto Takizawa

Hosei University

Publications: 23

Guohong Cao

Guohong Cao

Pennsylvania State University

Publications: 21

Dan Suciu

Dan Suciu

University of Washington

Publications: 21

Alfredo Cuzzocrea

Alfredo Cuzzocrea

University of Calabria

Publications: 21

Divyakant Agrawal

Divyakant Agrawal

University of California, Santa Barbara

Publications: 19

Something went wrong. Please try again later.