Srinivas Narayana

1.4k total citations · 1 hit paper
31 papers, 947 citations indexed

About

Srinivas Narayana is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Srinivas Narayana has authored 31 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 6 papers in Artificial Intelligence. Recurrent topics in Srinivas Narayana's work include Software-Defined Networks and 5G (15 papers), Network Traffic and Congestion Control (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Srinivas Narayana is often cited by papers focused on Software-Defined Networks and 5G (15 papers), Network Traffic and Congestion Control (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Srinivas Narayana collaborates with scholars based in United States, Netherlands and India. Srinivas Narayana's co-authors include Jennifer Rexford, S. Muthukrishnan, Ori Rottenstreich, Vibhaalakshmi Sivaraman, Prateesh Goyal, Mohammad Alizadeh, Anirudh Sivaraman, Changhoon Kim, Vimalkumar Jeyakumar and Venkat Arun and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, Scientific Programming and IETE Technical Review.

In The Last Decade

Srinivas Narayana

29 papers receiving 917 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

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.

Heavy-Hitter Detection Entirely in the Data Plane

2017 321 citations Vibhaalakshmi Sivaraman, Srinivas Narayana et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Srinivas Narayana United States	14	885	227	186	184	144	31	947
Muhammad Shahbaz United States	13	820 0.9×	139 0.6×	157 0.8×	165 0.9×	225 1.6×	40	885
Charles P. Wright United States	18	930 1.1×	206 0.9×	237 1.3×	349 1.9×	163 1.1×	38	1.0k
Joshua Reich United States	11	970 1.1×	138 0.6×	112 0.6×	198 1.1×	243 1.7×	18	1.0k
Raajay Viswanathan United States	8	716 0.8×	146 0.6×	104 0.6×	285 1.5×	159 1.1×	9	842
Jad Naous United States	9	872 1.0×	173 0.8×	227 1.2×	132 0.7×	267 1.9×	18	918
Rachit Agarwal United States	11	622 0.7×	117 0.5×	128 0.7×	162 0.9×	109 0.8×	20	672
Vimalkumar Jeyakumar United States	12	1.5k 1.6×	181 0.8×	130 0.7×	495 2.7×	319 2.2×	17	1.5k
Wenxuan Zhou United States	7	835 0.9×	192 0.8×	121 0.7×	145 0.8×	169 1.2×	11	875
Stefano Vissicchio Belgium	20	1.3k 1.5×	184 0.8×	126 0.7×	143 0.8×	543 3.8×	56	1.4k
Youngjin Kwon South Korea	13	457 0.5×	79 0.3×	321 1.7×	272 1.5×	84 0.6×	47	599

Countries citing papers authored by Srinivas Narayana

Since Specialization

Citations

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

Fields of papers citing papers by Srinivas Narayana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Narayana

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gandhi, Rohan & Srinivas Narayana. (2025). KnapsackLB: Enabling Performance-Aware Layer-4 Load Balancing. 3(CoNEXT1). 1–20.

2.

Geng, Jinkun, et al.. (2025). Network Support For Scalable And High Performance Cloud Exchanges. 1110–1131.

3.

Wong, Michael D., et al.. (2021). Synthesizing safe and efficient kernel extensions for packet processing. 50–64. 15 indexed citations

4.

Berg, Jessica, Nicholas Yang, Taegyun Kim, et al.. (2021). Snicket. 206–212. 4 indexed citations

5.

Liu, Ming, et al.. (2021). Automated SmartNIC Offloading Insights for Network Functions. 772–787. 22 indexed citations

6.

Kim, Taegyun, et al.. (2019). Autogenerating Fast Packet-Processing Code Using Program Synthesis. 150–160. 11 indexed citations

7.

Goyal, Prateesh, et al.. (2018). Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

8.

Cangialosi, Frank, Prateesh Goyal, Srinivas Narayana, et al.. (2018). Restructuring Endpoint Congestion Control. 25–25. 7 indexed citations

9.

Cangialosi, Frank, Prateesh Goyal, Srinivas Narayana, et al.. (2018). Restructuring endpoint congestion control. 30–43. 52 indexed citations

10.

Narayana, Srinivas, Anirudh Sivaraman, Prateesh Goyal, et al.. (2017). Demonstration of the Marple System for Network Performance Monitoring. 57–59. 4 indexed citations

11.

Narayana, Srinivas, et al.. (2016). Compiling path queries. Networked Systems Design and Implementation. 207–222. 52 indexed citations

12.

Sivaraman, Vibhaalakshmi, Srinivas Narayana, Ori Rottenstreich, S. Muthukrishnan, & Jennifer Rexford. (2016). Smoking Out the Heavy-Hitter Flows with HashPipe.. arXiv (Cornell University). 6 indexed citations

13.

Narayana, Srinivas, Jennifer Rexford, & David Walker. (2014). Compiling path queries in software-defined networks. 181–186. 27 indexed citations

14.

Narayana, Srinivas, et al.. (2013). Abstractions for model checking SDN controllers. 145–148. 22 indexed citations

15.

Narayana, Srinivas, Wenjie Jiang, Jennifer Rexford, & Mung Chiang. (2013). Joint Server Selection and Routing for Geo-replicated Services. 423–428. 13 indexed citations

16.

Narayana, Srinivas, Joe Wenjie Jiang, Jennifer Rexford, & Mung Chiang. (2012). Distributed wide-area traffic management for cloud services. ACM SIGMETRICS Performance Evaluation Review. 40(1). 409–410. 4 indexed citations

17.

Yang, Shiming, et al.. (2003). Programming an astrophysics application in an object-oriented parallel language. 108. 236–239. 1 indexed citations

18.

Bodin, François, et al.. (1993). Distributed pC++ Basic Ideas for an Object Parallel Language. Scientific Programming. 2(3). 7–22. 67 indexed citations

19.

Gannon, Dennis, et al.. (1992). Sigma II: A Tool Kit for Building Parallelizing Compilers and Performance Analysis Systems. 17–36. 25 indexed citations

20.

Narayana, Srinivas, et al.. (1989). Data Storage Magnetometer. IETE Technical Review. 6(5). 387–394. 1 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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