H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 103 Citations 60,665 227 World Ranking 131 National Ranking 81

Research.com Recognitions

Awards & Achievements

2015 - ACM Athena Lecturer Award For pioneering foundations, architecture, and applications of database systems

2009 - Fellow of the American Academy of Arts and Sciences

2005 - ACM Fellow For contributions to active and semi-structured database systems.

2005 - Member of the National Academy of Engineering For contributions to the design and implementation of active and semi-structured data management systems.

2000 - Fellow of John Simon Guggenheim Memorial Foundation


What is she best known for?

The fields of study she is best known for:

  • Database
  • Programming language
  • Operating system

Her primary areas of study are Database, Data mining, Query language, Information retrieval and Data stream management system. Jennifer Widom usually deals with Database and limits it to topics linked to World Wide Web and Business intelligence and Unstructured data. Her study in the fields of Materialized view and Relational database under the domain of Data mining overlaps with other disciplines such as Lineage.

Her research investigates the connection between Materialized view and topics such as Set that intersect with issues in Data warehouse. Her Query language research is multidisciplinary, relying on both SQL, Data management, Query expansion, RDF query language and Query optimization. Her Information retrieval study integrates concerns from other disciplines, such as Distributed database, Efficient XML Interchange, XML database, Data model and Key.

Her most cited work include:

  • Models and issues in data stream systems (2389 citations)
  • SimRank: a measure of structural-context similarity (1564 citations)
  • DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases (1173 citations)

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

Jennifer Widom mostly deals with Database, Data mining, Information retrieval, Query language and Theoretical computer science. As part of her studies on Database, Jennifer Widom often connects relevant areas like World Wide Web. Her work on Data warehouse as part of general Data mining study is frequently linked to Lineage, therefore connecting diverse disciplines of science.

Her Query language research is multidisciplinary, incorporating elements of Programming language, SQL, Data model, RDF query language and Query optimization. Her Query optimization research incorporates themes from Query by Example, Spatial query, Sargable, Query expansion and Data stream mining. Her Theoretical computer science research includes elements of Graph, Scalability, Computation and State.

She most often published in these fields:

  • Database (28.94%)
  • Data mining (20.51%)
  • Information retrieval (16.85%)

What were the highlights of her more recent work (between 2009-2017)?

  • Crowdsourcing (5.13%)
  • Database (28.94%)
  • Theoretical computer science (14.29%)

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

Jennifer Widom mainly investigates Crowdsourcing, Database, Theoretical computer science, Data science and Workflow. Her Crowdsourcing study combines topics from a wide range of disciplines, such as Mathematical optimization, Machine learning, Information retrieval and Artificial intelligence. Her Information retrieval study combines topics in areas such as SQL and World Wide Web.

Her study in Database is interdisciplinary in nature, drawing from both Query plan, Data mining, Class, Query expansion and Web query classification. The concepts of her Data mining study are interwoven with issues in Data modeling and Isolation. Jennifer Widom has researched Theoretical computer science in several fields, including Scalability, Graph, Computation and Graph.

Between 2009 and 2017, her most popular works were:

  • GPS: a graph processing system (427 citations)
  • STREAM: The Stanford Data Stream Management System (416 citations)
  • CrowdScreen: algorithms for filtering data with humans (181 citations)

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

  • Database
  • Programming language
  • Operating system

Her scientific interests lie mostly in Database, Theoretical computer science, Workflow, Provenance and Graph. Her research in Database intersects with topics in Class and Information retrieval. Her studies deal with areas such as Wireless sensor network, Network monitoring and Data stream, Data stream mining, Data stream management system as well as Class.

She interconnects Large set, Probabilistic analysis of algorithms, State, Heuristics and Artificial intelligence in the investigation of issues within Theoretical computer science. Her study on Workflow also encompasses disciplines like

  • Tracing and related Extension and Data mining,
  • Set that intertwine with fields like Crowdsourcing. Borrowing concepts from Query language, Jennifer Widom weaves in ideas under Provenance.

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

Models and issues in data stream systems

Brian Babcock;Shivnath Babu;Mayur Datar;Rajeev Motwani.
symposium on principles of database systems (2002)

3894 Citations

Database Systems: The Complete Book

Hector Garcia-Molina;Jeffrey D. Ullman;Jennifer Widom.

2299 Citations

SimRank: a measure of structural-context similarity

Glen Jeh;Jennifer Widom.
knowledge discovery and data mining (2002)

2117 Citations

DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases

Roy Goldman;Jennifer Widom.
very large data bases (1997)

1999 Citations

The Lorel Query Language for Semistructured Data

Serge Abiteboul;Dallan Quass;Jason McHugh;Jennifer Widom.
International Journal on Digital Libraries (1997)

1916 Citations

The TSIMMIS project: Integration of heterogeneous information sources

Sudarshan S. Chawathe;Hector Garcia-Molina;Joachim Hammer;Kelly Ireland.
情報処理学会研究報告データベースシステム(DBS) (1994)

1663 Citations

The CQL continuous query language: semantic foundations and query execution

Arvind Arasu;Shivnath Babu;Jennifer Widom.
very large data bases (2006)

1633 Citations

Scaling personalized web search

Glen Jeh;Jennifer Widom.
the web conference (2003)

1425 Citations

Active Database Systems: Triggers and Rules for Advanced Database Processing

Umeshwar Dayal;Jennifer Widom;Stefano Ceri.

1378 Citations

Object exchange across heterogeneous information sources

Y. Papakonstantinou;H. Garcia-Molina;J. Widom.
international conference on data engineering (1995)

1316 Citations

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