Raghav Kaushik

3.9k citations
60 papers · 2.3k indexed · h-index 23
Topics
Advanced Database Systems and Queries (27 papers)Data Management and Algorithms (26 papers)Data Quality and Management (21 papers)

In The Last Decade

Raghav Kaushik

60 papers receiving 2.2k citations

Peers

Raghav Kaushik
Comparison fields: 5 of 52
  • Artificial Intelligence 1.3k
  • Computer Networks and Communications 1.1k
  • Signal Processing 1.1k
  • Information Systems 901
  • Management Science and Operations Research 879
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Philip Bohannon United States
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Raghav Kaushik relative to Philip Bohannon United States Philip Bohannon's profile →
Citations per field
00.5×2.6×
Philip Bohannon · 1×
Citations per year

Countries citing papers authored by Raghav Kaushik

Since Specialization
Citations

This map shows the geographic impact of Raghav Kaushik'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 Raghav Kaushik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghav Kaushik more than expected).

Fields of papers citing papers by Raghav Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raghav Kaushik. 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 Raghav Kaushik. The network helps show where Raghav Kaushik may publish in the future.

Co-authorship network of co-authors of Raghav Kaushik

This figure shows the co-authorship network connecting the top 25 collaborators of Raghav Kaushik. A scholar is included among the top collaborators of Raghav Kaushik 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 Raghav Kaushik. Raghav Kaushik 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 43
2
Veritas: Shared Verifiable Databases and Tables in the Cloud.
14
3
Orthogonal Security With Cipherbase
79
4
Stop that query! The need for managing data use
4
5
Querying Encrypted Data (Tutorial)
3
6
Experiences with using Data Cleaning Technology for Bing Services.
1
7
Engineering Security and Performance with Cipherbase.
2
8
Towards a Domain Independent Platform for Data Cleaning.
6
9 15
10
Database Access Control and Privacy: Is there a common ground?
8
11 113
12 12
13
Stop-and-restart style execution for long running decision support queries
15
14
Example-driven design of efficient record matching queries
68
15 284
16
Data Debugger: An Operator-Centric Approach for Data Quality Solutions.
16
17 85
18
Exploiting Local Similarity to Efficiently Index Paths in Graph-Structured Data
9
19
Optimizing Fixed-Schema XML to SQL Query Translation
1
20
Set Containment Joins: The Good, The Bad and The Ugly
51

About Raghav Kaushik

Raghav Kaushik is a scholar working on Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (26 papers) and Data Quality and Management (21 papers). The work is most often cited by research in Signal Processing (1.1k citations), Management Science and Operations Research (879 citations) and Computer Networks and Communications (1.1k citations). Raghav Kaushik has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Surajit Chaudhuri, Venkatesh Ganti, Arvind Arasu, Jeffrey F. Naughton, Philip Bohannon, Henry F. Korth, Pradeep Shenoy, Ehud Gudes, Ken Eguro and Ravi Ramamurthy. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and Very Large Data Bases.

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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