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 32 Citations 11,231 77 World Ranking 8862 National Ranking 4070

Research.com Recognitions

Awards & Achievements

2009 - ACM Senior Member

Overview

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

His Computer network study frequently draws connections to other fields, such as Router and Network topology. Deepayan Chakrabarti integrates Network topology with Computer network in his research. Deepayan Chakrabarti performs multidisciplinary study in the fields of Theoretical computer science and Data science via his papers. While working on this project, Deepayan Chakrabarti studies both Data science and Theoretical computer science. His Graph study frequently intersects with other fields, such as Random graph. His Random graph study frequently draws connections to other fields, such as Graph. With his scientific publications, his incorporates both Adjacency matrix and Eigenvalues and eigenvectors. His work blends Eigenvalues and eigenvectors and Adjacency matrix studies together. He performs multidisciplinary study in Metallurgy and Copper in his work.

Deepayan Chakrabarti most often published in these fields:

  • Theoretical computer science (75.00%)
  • Graph (75.00%)
  • Adjacency matrix (50.00%)

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

R-MAT: A Recursive Model for Graph Mining

Deepayan Chakrabarti;Yiping Zhan;Christos Faloutsos.
siam international conference on data mining (2004)

1450 Citations

Kronecker Graphs: An Approach to Modeling Networks

Jure Leskovec;Deepayan Chakrabarti;Jon Kleinberg;Christos Faloutsos.
Journal of Machine Learning Research (2010)

1064 Citations

Epidemic spreading in real networks: an eigenvalue viewpoint

Yang Wang;D. Chakrabarti;Chenxi Wang;C. Faloutsos.
symposium on reliable distributed systems (2003)

1008 Citations

Evolutionary clustering

Deepayan Chakrabarti;Ravi Kumar;Andrew Tomkins.
knowledge discovery and data mining (2006)

834 Citations

Graph mining: Laws, generators, and algorithms

Deepayan Chakrabarti;Christos Faloutsos.
ACM Computing Surveys (2006)

816 Citations

Epidemic thresholds in real networks

Deepayan Chakrabarti;Yang Wang;Chenxi Wang;Jurij Leskovec.
ACM Transactions on Information and System Security (2008)

804 Citations

Realistic, mathematically tractable graph generation and evolution, using kronecker multiplication

Jurij Leskovec;Deepayan Chakrabarti;Jon Kleinberg;Christos Faloutsos.
european conference on machine learning (2005)

488 Citations

Neighborhood formation and anomaly detection in bipartite graphs

Jimeng Sun;Huiming Qu;D. Chakrabarti;C. Faloutsos.
international conference on data mining (2005)

436 Citations

Event Summarization Using Tweets

Deepayan Chakrabarti;Kunal Punera.
international conference on weblogs and social media (2011)

427 Citations

Fully automatic cross-associations

Deepayan Chakrabarti;Spiros Papadimitriou;Dharmendra S. Modha;Christos Faloutsos.
knowledge discovery and data mining (2004)

382 Citations

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