D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 67 Citations 33,607 427 World Ranking 1348 National Ranking 768

Overview

What is he best known for?

The fields of study Joydeep Ghosh is best known for:

  • Statistics
  • Machine learning
  • Cluster analysis

His work on Internal medicine as part of general Randomized controlled trial study is frequently linked to Atrial fibrillation, therefore connecting diverse disciplines of science. Many of his studies involve connections with topics such as Atrial fibrillation and Randomized controlled trial and Internal medicine. His study of Inflammation brings together topics like Proinflammatory cytokine and Cytokine. Joydeep Ghosh conducted interdisciplinary study in his works that combined Cytokine and Inflammation. He combines topics linked to Pattern recognition (psychology) with his work on Artificial intelligence. His Artificial intelligence research extends to the thematically linked field of Pattern recognition (psychology). His study deals with a combination of Data mining and Machine learning. He performs integrative study on Machine learning and Data mining in his works. He performs integrative Cluster analysis and Algorithm research in his work.

His most cited work include:

  • Top 10 algorithms in data mining (4043 citations)
  • 10.1162/153244303321897735 (1724 citations)
  • Error Correlation and Error Reduction in Ensemble Classifiers (500 citations)

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

Pattern recognition (psychology) and Cluster analysis are all intertwined in Artificial intelligence research. His study on Pattern recognition (psychology) is mostly dedicated to connecting different topics, such as Artificial intelligence. Joydeep Ghosh incorporates Data mining and Machine learning in his research. Joydeep Ghosh integrates many fields in his works, including Machine learning and Data mining.

Joydeep Ghosh most often published in these fields:

  • Artificial intelligence (39.64%)
  • Data mining (20.12%)
  • Machine learning (19.53%)

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

Top 10 algorithms in data mining

Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh.
Knowledge and Information Systems (2007)

6343 Citations

Cluster ensembles --- a knowledge reuse framework for combining multiple partitions

Alexander Strehl;Joydeep Ghosh.
Journal of Machine Learning Research (2003)

5359 Citations

Clustering with Bregman Divergences

Arindam Banerjee;Srujana Merugu;Inderjit S. Dhillon;Joydeep Ghosh.
siam international conference on data mining (2005)

1903 Citations

A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation

Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Srujana Merugu.
Journal of Machine Learning Research (2007)

1076 Citations

Impact of Similarity Measures on Web-page Clustering

Alexander Strehl;Joydeep Ghosh;Raymond Mooney.
(2000)

1070 Citations

Investigation of the random forest framework for classification of hyperspectral data

J. Ham;Yangchi Chen;M.M. Crawford;J. Ghosh.
IEEE Transactions on Geoscience and Remote Sensing (2005)

1017 Citations

Clustering on the Unit Hypersphere using von Mises-Fisher Distributions

Arindam Banerjee;Inderjit S. Dhillon;Joydeep Ghosh;Suvrit Sra.
Journal of Machine Learning Research (2005)

963 Citations

Error Correlation and Error Reduction in Ensemble Classifiers

Kagan Tumer;Joydeep Ghosh.
Connection Science (1996)

818 Citations

Discovering important people and objects for egocentric video summarization

Yong Jae Lee;Joydeep Ghosh;Kristen Grauman.
computer vision and pattern recognition (2012)

745 Citations

Analysis of decision boundaries in linearly combined neural classifiers

Kagan Tumer;Joydeep Ghosh.
Pattern Recognition (1996)

463 Citations

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