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).
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
1.
Gehrke, Johannes, Arvind Arasu, Joachim Hammer, et al.. (2019). Veritas: Shared Verifiable Databases and Tables in the Cloud.. Conference on Innovative Data Systems Research.14 indexed citations
2.
Arasu, Arvind, Ken Eguro, Raghav Kaushik, & Ravi Ramamurthy. (2013). Querying Encrypted Data (Tutorial).3 indexed citations
3.
Upadhyaya, Prasang, Nicholas Anderson, Magdalena Bałazińska, et al.. (2013). Stop that query! The need for managing data use. Conference on Innovative Data Systems Research.4 indexed citations
4.
Arasu, Arvind, Spyros Blanas, Ken Eguro, et al.. (2013). Orthogonal Security With Cipherbase. Conference on Innovative Data Systems Research.79 indexed citations
5.
Arasu, Arvind, Spyros Blanas, Ken Eguro, et al.. (2012). Engineering Security and Performance with Cipherbase.. IEEE Data(base) Engineering Bulletin. 35. 65–72.2 indexed citations
6.
Arasu, Arvind, Surajit Chaudhuri, Zhi‐Min Chen, et al.. (2012). Experiences with using Data Cleaning Technology for Bing Services.. IEEE Data(base) Engineering Bulletin. 35. 14–23.1 indexed citations
7.
Chaudhuri, Surajit, Raghav Kaushik, & Ravishankar Ramamurthy. (2011). Database Access Control and Privacy: Is there a common ground?. Conference on Innovative Data Systems Research. 96–103.8 indexed citations
8.
Arasu, Arvind, Surajit Chaudhuri, Zhi‐Min Chen, et al.. (2011). Towards a Domain Independent Platform for Data Cleaning.. IEEE Data(base) Engineering Bulletin. 34. 43–50.6 indexed citations
Chaudhuri, Surajit, et al.. (2007). Stop-and-restart style execution for long running decision support queries. Very Large Data Bases. 735–745.15 indexed citations
11.
Chaudhuri, Surajit, Bee-Chung Chen, Venkatesh Ganti, & Raghav Kaushik. (2007). Example-driven design of efficient record matching queries. 327–338.68 indexed citations
12.
Chaudhuri, Surajit, Venkatesh Ganti, & Raghav Kaushik. (2006). Data Debugger: An Operator-Centric Approach for Data Quality Solutions.. IEEE Data(base) Engineering Bulletin. 29. 60–66.16 indexed citations
13.
Arasu, Arvind, Venkatesh Ganti, & Raghav Kaushik. (2006). Efficient exact set-similarity joins. Very Large Data Bases. 918–929.284 indexed citations
Krishnamurthy, Rajasekar, et al.. (2004). Ecien t XML-to-SQL Query Translation: Where to Add the Intelligence?.7 indexed citations
17.
Kaushik, Raghav, Pradeep Shenoy, Philip Bohannon, & Ehud Gudes. (2002). Exploiting Local Similarity to Efficiently Index Paths in Graph-Structured Data.9 indexed citations
18.
Krishnamurthy, Rajasekar, et al.. (2002). Optimizing Fixed-Schema XML to SQL Query Translation.1 indexed citations
Ramasamy, Karthikeyan, Jignesh M. Patel, Jeffrey F. Naughton, & Raghav Kaushik. (2000). Set Containment Joins: The Good, The Bad and The Ugly. Very Large Data Bases. 351–362.51 indexed citations
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.