Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
An overview of business intelligence technology
2011429 citationsSurajit Chaudhuri, Umeshwar Dayal et al.Communications of the ACMprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Vivek Narasayya
Since
Specialization
Citations
This map shows the geographic impact of Vivek Narasayya'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 Vivek Narasayya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Narasayya more than expected).
This network shows the impact of papers produced by Vivek Narasayya. 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 Vivek Narasayya. The network helps show where Vivek Narasayya may publish in the future.
Co-authorship network of co-authors of Vivek Narasayya
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Narasayya.
A scholar is included among the top collaborators of Vivek Narasayya 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 Vivek Narasayya. Vivek Narasayya is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Narasayya, Vivek & Neoklis Polyzotis. (2013). Proceedings of the Sixth International Workshop on Testing Database Systems. International Conference on Management of Data.1 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.
Bruno, Nicolas, Surajit Chaudhuri, Arnd Christian König, et al.. (2011). AutoAdmin Project at Microsoft Research: Lessons Learned.. IEEE Data(base) Engineering Bulletin. 34. 12–19.13 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
9.
Chaudhuri, Surajit, Umeshwar Dayal, & Vivek Narasayya. (2011). An overview of business intelligence technology. Communications of the ACM. 54(8). 88–98.429 indexed citations breakdown →
10.
Chaudhuri, Surajit, Vivek Narasayya, & Manoj Syamala. (2007). Bridging the application and DBMS profiling divide for database application developers. Very Large Data Bases. 1252–1262.12 indexed citations
11.
Chaudhuri, Surajit & Vivek Narasayya. (2007). Self-tuning database systems: a decade of progress. Very Large Data Bases. 3–14.150 indexed citations
Agrawal, Sanjay, Eric Chu, & Vivek Narasayya. (2006). Automating Physical Database Design: Workload as a Sequence. International Conference on Management of Data.1 indexed citations
14.
Chaudhuri, Surajit, Vivek Narasayya, & Ravishankar Ramamurthy. (2004). Estimating Progress of Long Running SQL Queries.. International Conference on Management of Data. 803–814.22 indexed citations
Agrawal, Sanjay, Surajit Chaudhuri, & Vivek Narasayya. (2000). Automated Selection of Materialized Views and Indexes in SQL Databases. Very Large Data Bases. 496–505.347 indexed citations
17.
Chaudhuri, Surajit, Eric Christensen, Goetz Graefe, Vivek Narasayya, & Michael J. Zwilling. (1999). Self-Tuning Technology in Microsoft SQL Server.. IEEE Data(base) Engineering Bulletin. 22(1). 20–26.19 indexed citations
Jovanis, Paul P., et al.. (1994). PUBLIC ATTITUDES TOWARD CONVERSION OF MIXED-USE FREEWAY LANES TO HIGH-OCCUPANCY-VEHICLE LANES. Transportation Research Record Journal of the Transportation Research Board.2 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.