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 35 Citations 7,876 145 World Ranking 7455 National Ranking 3513

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.

Best Publications

Evaluating probabilistic queries over imprecise data

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

830 Citations

Querying imprecise data in moving object environments

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

619 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)

483 Citations

Rights protection for relational data

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

462 Citations

Preserving user location privacy in mobile data management infrastructures

Reynold Cheng;Yu Zhang;Elisa Bertino;Sunil Prabhakar.
Lecture Notes in Computer Science (2006)

425 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)

393 Citations

Efficient indexing methods for probabilistic threshold queries over uncertain data

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

384 Citations

Efficient evaluation of continuous range queries on moving objects

D. Kalashnikov;S. Prabhakar;S. Hambrusch;W. Aref.
Lecture Notes in Computer Science (2002)

275 Citations

Entity identification in database integration

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

270 Citations

ERACER: a database approach for statistical inference and data cleaning

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

198 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Sunil Prabhakar

Reynold Cheng

Reynold Cheng

University of Hong Kong

Publications: 47

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 47

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 35

Xuemin Lin

Xuemin Lin

University of New South Wales

Publications: 35

Mohamed F. Mokbel

Mohamed F. Mokbel

University of Minnesota

Publications: 32

Hans-Peter Kriegel

Hans-Peter Kriegel

Ludwig-Maximilians-Universität München

Publications: 32

Walid G. Aref

Walid G. Aref

Purdue University West Lafayette

Publications: 29

Christian S. Jensen

Christian S. Jensen

Aalborg University

Publications: 26

Nikos Mamoulis

Nikos Mamoulis

University of Ioannina

Publications: 25

Wenjie Zhang

Wenjie Zhang

University of New South Wales

Publications: 24

Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

Publications: 23

Elisa Bertino

Elisa Bertino

Purdue University West Lafayette

Publications: 21

Ling Liu

Ling Liu

Georgia Institute of Technology

Publications: 21

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 20

Hua Lu

Hua Lu

Aalborg University

Publications: 19

Ying Zhang

Ying Zhang

University of Technology Sydney

Publications: 19

Trending Scientists

Jerry D. Murphy

Jerry D. Murphy

University College Cork

Barbara Webb

Barbara Webb

University of Edinburgh

Eann A. Patterson

Eann A. Patterson

University of Liverpool

Wei Zhao

Wei Zhao

Technical University of Darmstadt

Sishen Xie

Sishen Xie

Chinese Academy of Sciences

Shuichi Takayama

Shuichi Takayama

Georgia Institute of Technology

Sulabha K. Kulkarni

Sulabha K. Kulkarni

Indian Institute of Science

Enric Saiz

Enric Saiz

Spanish National Research Council

Concepción L. Alados

Concepción L. Alados

Spanish National Research Council

Masaaki Muramatsu

Masaaki Muramatsu

Tokyo Medical and Dental University

Katrin Elisabeth Giel

Katrin Elisabeth Giel

University of Tübingen

Christine Wekerle

Christine Wekerle

McMaster University

Sandra M. Chafouleas

Sandra M. Chafouleas

University of Connecticut

Norman Geschwind

Norman Geschwind

Harvard University

David A. Boas

David A. Boas

Boston University

Jeremy Mould

Jeremy Mould

Swinburne University of Technology

Something went wrong. Please try again later.