Inderpal Singh Mumick

4.5k citations
53 papers · 2.3k indexed · h-index 22

Inderpal Singh Mumick

49 papers receiving 2.0k citations

Peers

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

The 25 scholars most cited alongside Inderpal Singh Mumick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inderpal Singh Mumick Line = papers co-authored together Inderpal Singh Mumick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200532
2 200121
3
View maintenance issues for the chronicle data model
199912
4 19992
5
Selection of Views to Materialize Under a Maintenance Cost Constraint
199920
6 19991
7
Rejuvenation of Materialized Views
19991
8
Maintenance and Self Maintenance of Outer-Join Views.
19976
9
1996 Proceedings : ACM SIGMOD International Conference on Management of Data, June 4 to 6, Montréal, Québec, Canada
19961
10
What is the Data Warehousing Problem? (Are Materialized Views the Answer?)
19961
11
Managing Rule Conflicts in an Active Database.
19962
12
View Maintenance in Nested Data Models.
19963
13 199671
14
Query Optimization by Predicate Move-Around
199466
15
Universal Finiteness and Satisfiability.
19942
16
Adornments in Database Programs
19931
17
Query optimization in deductive and relational databases
199215
18
An Architecture for Declarative Object-Oriented Databases.
19921
19
The Magic of Duplicates and Aggregates
1990109
20 199042

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), Semantic Web and Ontologies (16 papers), Data Quality and Management (16 papers), Distributed systems and fault tolerance (11 papers), Logic, Reasoning, and Knowledge (8 papers), Advanced Data Storage Technologies (4 papers) and Logic, programming, and type systems (3 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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