Sirish Chandrasekaran

2.9k total citations · 2 hit papers
10 papers, 1.6k citations indexed

About

Sirish Chandrasekaran is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sirish Chandrasekaran has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 5 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Sirish Chandrasekaran's work include Advanced Database Systems and Queries (8 papers), Data Management and Algorithms (5 papers) and Peer-to-Peer Network Technologies (3 papers). Sirish Chandrasekaran is often cited by papers focused on Advanced Database Systems and Queries (8 papers), Data Management and Algorithms (5 papers) and Peer-to-Peer Network Technologies (3 papers). Sirish Chandrasekaran collaborates with scholars based in United States. Sirish Chandrasekaran's co-authors include Michael J. Franklin, Mehul A. Shah, Joseph M. Hellerstein, Samuel Madden, Amol Deshpande, Wei Hong, Sailesh Krishnamurthy, Owen Cooper, Vijayshankar Raman and Frederick Reiss and has published in prestigious journals such as ACM SIGMOD Record, The VLDB Journal and Conference on Innovative Data Systems Research.

In The Last Decade

Sirish Chandrasekaran

10 papers receiving 1.5k citations

Hit Papers

TelegraphCQ: Continuous Dataflow Processing for an Uncert... 2003 2026 2010 2018 2003 2003 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sirish Chandrasekaran United States 8 1.5k 854 566 481 119 10 1.6k
Don Carney United States 6 1.3k 0.9× 742 0.9× 522 0.9× 473 1.0× 129 1.1× 6 1.5k
Sailesh Krishnamurthy United States 16 1.8k 1.2× 880 1.0× 607 1.1× 679 1.4× 144 1.2× 21 2.0k
Ying Xing China 9 1.5k 1.0× 658 0.8× 496 0.9× 660 1.4× 123 1.0× 27 1.7k
Chris Olston United States 14 1.4k 0.9× 771 0.9× 525 0.9× 283 0.6× 184 1.5× 21 1.6k
Anurag S. Maskey United States 5 915 0.6× 427 0.5× 319 0.6× 363 0.8× 90 0.8× 6 1.0k
Shashi K. Gadia United States 17 1.1k 0.7× 834 1.0× 586 1.0× 269 0.6× 106 0.9× 59 1.3k
Eric N. Hanson United States 16 950 0.6× 468 0.5× 411 0.7× 403 0.8× 79 0.7× 37 1.1k
Jonathan Goldstein United States 16 756 0.5× 456 0.5× 268 0.5× 382 0.8× 169 1.4× 41 985
Jay Banerjee United States 12 919 0.6× 423 0.5× 694 1.2× 437 0.9× 61 0.5× 20 1.2k
Kristin Tufte United States 14 1.3k 0.9× 906 1.1× 782 1.4× 390 0.8× 86 0.7× 49 1.5k

Countries citing papers authored by Sirish Chandrasekaran

Since Specialization
Citations

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

Fields of papers citing papers by Sirish Chandrasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirish Chandrasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Sirish Chandrasekaran. A scholar is included among the top collaborators of Sirish Chandrasekaran 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 Sirish Chandrasekaran. Sirish Chandrasekaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Franklin, Michael J. & Sirish Chandrasekaran. (2005). Query processing over live and archived data streams. 4 indexed citations
2.
Shah, Mehul A., Joseph M. Hellerstein, Sirish Chandrasekaran, & Michael J. Franklin. (2004). Flux: an adaptive partitioning operator for continuous query systems. 25–36. 200 indexed citations
3.
Krishnamurthy, Sailesh, Sirish Chandrasekaran, Owen R. Cooper, et al.. (2003). TelegraphCQ: An Architectural Status Report. IEEE Data(base) Engineering Bulletin. 26. 11–18. 47 indexed citations
4.
Chandrasekaran, Sirish, Owen Cooper, Amol Deshpande, et al.. (2003). TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.. Conference on Innovative Data Systems Research. 649 indexed citations breakdown →
5.
Chandrasekaran, Sirish, Owen Cooper, Amol Deshpande, et al.. (2003). TelegraphCQ. 668–668. 480 indexed citations breakdown →
6.
Chandrasekaran, Sirish & Michael J. Franklin. (2003). PSoup: a system for streaming queries over streaming data. The VLDB Journal. 12(2). 140–156. 75 indexed citations
7.
Chandrasekaran, Sirish, Mehul A. Shah, Owen Cooper, et al.. (2003). TelegraphCQ. 34 indexed citations
8.
Shah, Mehul A. & Sirish Chandrasekaran. (2001). Fault-tolerant, load-balancing queries in telegraph. 611–611. 8 indexed citations
9.
Shah, Mehul A. & Sirish Chandrasekaran. (2001). Fault-tolerant, load-balancing queries in telegraph. ACM SIGMOD Record. 30(2). 611–611. 4 indexed citations
10.
Hellerstein, Joseph M., Michael J. Franklin, Sirish Chandrasekaran, et al.. (2000). Adaptive Query Processing: Technology in Evolution.. IEEE Data(base) Engineering Bulletin. 23. 7–18. 142 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.

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