Probabilistic Databases

Probabilistic databases is a research field and database model concerned with managing data where values, attributes, or tuple existence carry uncertainty, often represented as probabilities or confidence scores. This domain investigates formalisms, data structures, and query processing techniques to efficiently store, query, and reason about uncertain information, enabling robust data management in contexts with inherent imprecision or incompleteness.

164

Publications

11.8K

Citations

276

Authors

132

Institutions

Publications per year

2017–2026

15

Parents

Authors

276

Leading researchers in Probabilistic Databases. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
DS

University of Washington

20

2.6K

17

AD

University of Maryland, College Park

12

988

12

DO

University of Oxford

11

537

11

LG

University of Maryland, College Park

8

547

8

CK

Cornell University

7

394

7

Rows per page

1–5 of 276

Institutions

132

Leading universities and research organizations in Probabilistic Databases. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
University of Maryland, College Park

College Park, United States

46

4.1K

17

University of Washington

Seattle, United States

40

5.1K

17

University of Oxford

Oxford, United Kingdom

25

1K

12

Stanford University

Stanford, United States

15

2.6K

9

Cornell University

Ithaca, United States

9

430

8

Rows per page

1–5 of 132

Venues

Leading journals and conferences in Probabilistic Databases. Counts cover only their publications on this concept, not their overall record.