Inderpal Singh Mumick

4.5k citations
53 papers · 2.3k indexed · h-index 22
Topics
Advanced Database Systems and Queries (38 papers)Data Management and Algorithms (18 papers)Semantic Web and Ontologies (16 papers)

In The Last Decade

Inderpal Singh Mumick

49 papers receiving 2.0k citations

Peers

Inderpal Singh Mumick
Comparison fields: 5 of 43
  • Computer Networks and Communications 2.0k
  • Signal Processing 1.1k
  • Artificial Intelligence 929
  • Information Systems 725
  • Management Science and Operations Research 345
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Citations per field
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Citations per year

Countries citing papers authored by Inderpal Singh Mumick

Since Specialization
Citations

This map shows the geographic impact of Inderpal Singh Mumick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Inderpal Singh Mumick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inderpal Singh Mumick more than expected).

Fields of papers citing papers by Inderpal Singh Mumick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inderpal Singh Mumick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Inderpal Singh Mumick. The network helps show where Inderpal Singh Mumick may publish in the future.

Co-authorship network of co-authors of Inderpal Singh Mumick

This figure shows the co-authorship network connecting the top 25 collaborators of Inderpal Singh Mumick. A scholar is included among the top collaborators of Inderpal Singh Mumick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Inderpal Singh Mumick. Inderpal Singh Mumick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 32
2 21
3
View maintenance issues for the chronicle data model
12
4 2
5
Selection of Views to Materialize Under a Maintenance Cost Constraint
20
6 1
7
Rejuvenation of Materialized Views
1
8
Maintenance and Self Maintenance of Outer-Join Views.
6
9
1996 Proceedings : ACM SIGMOD International Conference on Management of Data, June 4 to 6, Montréal, Québec, Canada
1
10
What is the Data Warehousing Problem? (Are Materialized Views the Answer?)
1
11
Managing Rule Conflicts in an Active Database.
2
12
View Maintenance in Nested Data Models.
3
13 71
14
Query Optimization by Predicate Move-Around
66
15
Universal Finiteness and Satisfiability.
2
16
Adornments in Database Programs
1
17
Query optimization in deductive and relational databases
15
18
An Architecture for Declarative Object-Oriented Databases.
1
19
The Magic of Duplicates and Aggregates
109
20 42

About Inderpal Singh Mumick

Inderpal Singh Mumick is a scholar working on Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (38 papers), Data Management and Algorithms (18 papers) and Semantic Web and Ontologies (16 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Networks and Communications (2.0k citations) and Information Systems (725 citations). Inderpal Singh Mumick has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Ashish Gupta, V. S. Subrahmanian, Hamid Pirahesh, Himanshu Gupta, Dallan Quass, Latha S. Colby, Kenneth A. Ross, Yehoshua Sagiv, Raghu Ramakrishnan and Sheldon J. Finkelstein. Their work appears in journals such as Journal of the ACM, IEEE Transactions on Knowledge and Data Engineering and ACM SIGMOD Record.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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