H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 7,778 116 World Ranking 6787 National Ranking 3232

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Database

His primary areas of study are Data mining, Probabilistic logic, Uncertain data, Database and Search engine indexing. His study in the fields of Probabilistic database and Query language under the domain of Data mining overlaps with other disciplines such as Spatial query. His Probabilistic logic research is multidisciplinary, incorporating perspectives in Range query, Information retrieval and Categorical variable.

He combines subjects such as Probability density function, Theoretical computer science and Pruning with his study of Uncertain data. His studies deal with areas such as Computer security and Real-time computing as well as Database. His Search engine indexing study incorporates themes from Object, Scalability and Data structure.

His most cited work include:

  • Evaluating probabilistic queries over imprecise data (565 citations)
  • Querying imprecise data in moving object environments (401 citations)
  • Query indexing and velocity constrained indexing: scalable techniques for continuous queries on moving objects (336 citations)

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

His main research concerns Data mining, Database, Theoretical computer science, Search engine indexing and Probabilistic logic. In the field of Data mining, his study on Uncertain data and Probabilistic database overlaps with subjects such as Tuple. His Uncertain data research includes themes of Database model and Pruning.

The concepts of his Database study are interwoven with issues in Computer security, Distributed computing and Information retrieval. His Theoretical computer science research is multidisciplinary, incorporating elements of Range, Sort-merge join, Join and Steganography. His research in Search engine indexing intersects with topics in Tree, Object, Scalability and Overhead.

He most often published in these fields:

  • Data mining (38.67%)
  • Database (25.33%)
  • Theoretical computer science (16.00%)

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

  • Database (25.33%)
  • Data mining (38.67%)
  • Cloud computing (3.33%)

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

Sunil Prabhakar focuses on Database, Data mining, Cloud computing, Information retrieval and Conflict resolution. His Database research includes elements of Range, Trie, Longest common subsequence problem and Bitmap. While working in this field, Sunil Prabhakar studies both Data mining and Subsequence.

Sunil Prabhakar has included themes like Computer security and The Internet in his Cloud computing study. His research in Information retrieval intersects with topics in Sentence and Data management. The concepts of his Scalability study are interwoven with issues in Paragraph, Distributed computing, Search engine indexing and Data aggregator.

Between 2011 and 2020, his most popular works were:

  • Trustworthy data from untrusted databases (21 citations)
  • System and methods for ensuring integrity, authenticity, indemnity, and assured provenance for untrusted, outsourced, or cloud databases (15 citations)
  • Sequential pattern mining in databases with temporal uncertainty (13 citations)

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

  • Artificial intelligence
  • Operating system
  • Database

His primary scientific interests are in Database, Cloud computing, Data mining, Scalability and Homophily. His studies in Database integrate themes in fields like Granularity, Artificial intelligence, Synchronization, Event and Machine learning. Sunil Prabhakar has included themes like Computer security, Control, Database server and Service in his Cloud computing study.

His Data mining study combines topics in areas such as Wireless sensor network, Leverage and Sensor fusion. The study incorporates disciplines such as Data stream mining, Throughput, Search engine indexing and Search algorithm in addition to Scalability. The various areas that Sunil Prabhakar examines in his Homophily study include Graph, Theoretical computer science, Embedding, Network embedding and Forcing.

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

Evaluating probabilistic queries over imprecise data

Reynold Cheng;Dmitri V. Kalashnikov;Sunil Prabhakar.
international conference on management of data (2003)

813 Citations

Querying imprecise data in moving object environments

R. Cheng;D.V. Kalashnikov;S. Prabhakar.
international conference on data engineering (2003)

614 Citations

Query indexing and velocity constrained indexing: scalable techniques for continuous queries on moving objects

S. Prabhakar;Yuni Xia;D.V. Kalashnikov;W.G. Aref.
IEEE Transactions on Computers (2002)

477 Citations

Rights protection for relational data

R. Sion;M. Atallah;Sunil Prabhakar.
IEEE Transactions on Knowledge and Data Engineering (2004)

460 Citations

Preserving user location privacy in mobile data management infrastructures

Reynold Cheng;Yu Zhang;Elisa Bertino;Sunil Prabhakar.
privacy enhancing technologies (2006)

385 Citations

Indexing multi-dimensional uncertain data with arbitrary probability density functions

Yufei Tao;Reynold Cheng;Xiaokui Xiao;Wang Kay Ngai.
very large data bases (2005)

376 Citations

Efficient indexing methods for probabilistic threshold queries over uncertain data

Reynold Cheng;Yuni Xia;Sunil Prabhakar;Rahul Shah.
very large data bases (2004)

363 Citations

Entity identification in database integration

Ee-Peng Lim;Jaideep Srivastava;Satya Prabhakar;James Richardson.
Information Sciences (1996)

268 Citations

ERACER: a database approach for statistical inference and data cleaning

Chris Mayfield;Jennifer Neville;Sunil Prabhakar.
international conference on management of data (2010)

176 Citations

A Rule-Based Classification Algorithm for Uncertain Data

Biao Qin;Yuni Xia;Sunil Prabhakar;Yicheng Tu.
international conference on data engineering (2009)

155 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.

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Top Scientists Citing Sunil Prabhakar

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Reynold Cheng

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Aalborg University

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