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.
Hedera: dynamic flow scheduling for data center networks
20101.2k citationsMohammad Al-Fares, Sivasankar Radhakrishnan et al.Networked Systems Design and Implementationprofile →
PortLand
2009732 citationsRadhika Niranjan Mysore, Andreas Pamboris et al.CLOK (University of Central Lancashire)profile →
Helios
2010687 citationsNathan Farrington, George Porter et al.profile →
PortLand
2009309 citationsRadhika Niranjan Mysore, Andreas Pamboris et al.ACM SIGCOMM Computer Communication Reviewprofile →
Citations per year, relative to Sivasankar Radhakrishnan Sivasankar Radhakrishnan (= 1×)
peers
Stephen Stuart
Countries citing papers authored by Sivasankar Radhakrishnan
Since
Specialization
Citations
This map shows the geographic impact of Sivasankar Radhakrishnan'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 Sivasankar Radhakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sivasankar Radhakrishnan more than expected).
Fields of papers citing papers by Sivasankar Radhakrishnan
This network shows the impact of papers produced by Sivasankar Radhakrishnan. 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 Sivasankar Radhakrishnan. The network helps show where Sivasankar Radhakrishnan may publish in the future.
Co-authorship network of co-authors of Sivasankar Radhakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Sivasankar Radhakrishnan.
A scholar is included among the top collaborators of Sivasankar Radhakrishnan 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 Sivasankar Radhakrishnan. Sivasankar Radhakrishnan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
11 of 11 papers shown
1.
Cheng, Yuchung, et al.. (2014). RFC 7413 - TCP Fast Open.7 indexed citations
2.
Radhakrishnan, Sivasankar, Vimalkumar Jeyakumar, Abdul Kabbani, George Porter, & Amin Vahdat. (2013). NicPic: Scalable and Accurate End-Host Rate Limiting..5 indexed citations
Lam, Vinh The, Sivasankar Radhakrishnan, Rong Pan, Amin Vahdat, & George Varghese. (2012). Netshare and stochastic netshare. ACM SIGCOMM Computer Communication Review. 42(3). 5–11.60 indexed citations
5.
Radhakrishnan, Sivasankar, et al.. (2011). TCP fast open. 1–12.87 indexed citations
6.
Al-Fares, Mohammad, et al.. (2010). Hedera: dynamic flow scheduling for data center networks. Networked Systems Design and Implementation. 19–19.1194 indexed citations breakdown →
7.
Farrington, Nathan, George Porter, Sivasankar Radhakrishnan, et al.. (2010). Helios. ACM SIGCOMM Computer Communication Review. 40(4). 339–350.266 indexed citations
8.
Farrington, Nathan, George Porter, Sivasankar Radhakrishnan, et al.. (2010). Helios. 339–350.687 indexed citations breakdown →
Mysore, Radhika Niranjan, et al.. (2009). PortLand. ACM SIGCOMM Computer Communication Review. 39(4). 39–50.309 indexed citations breakdown →
11.
Mysore, Radhika Niranjan, et al.. (2009). PortLand. CLOK (University of Central Lancashire). 39–50.732 indexed citations breakdown →
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.