This map shows the geographic impact of C. Seshadhri'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 C. Seshadhri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Seshadhri more than expected).
This network shows the impact of papers produced by C. Seshadhri. 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 C. Seshadhri. The network helps show where C. Seshadhri may publish in the future.
Co-authorship network of co-authors of C. Seshadhri
This figure shows the co-authorship network connecting the top 25 collaborators of C. Seshadhri.
A scholar is included among the top collaborators of C. Seshadhri 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 C. Seshadhri. C. Seshadhri is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chakrabarty, Deeparnab, et al.. (2020). . Theory of Computing. 16(1). 1–36.1 indexed citations
4.
Kumar, Akash, et al.. (2018). Finding forbidden minors in sublinear time: a O(n 1/2+o(1) )-query one-sided tester for minor closed properties on bounded degree graphs.. 25. 101.
5.
Sarıyüce, Ahmet Erdem, C. Seshadhri, & Ali Pınar. (2017). Parallel Local Algorithms for Core, Truss, and Nucleus Decompositions.. arXiv (Cornell University).8 indexed citations
Chakrabarty, Deeparnab & C. Seshadhri. (2014). . Theory of Computing. 10(1). 453–464.12 indexed citations
9.
Seshadhri, C., et al.. (2013). The importance of directed triangles with reciprocity: patterns and algorithms.. arXiv (Cornell University).4 indexed citations
10.
Seshadhri, C., Ali Pınar, & Tamara G. Kolda. (2012). Fast triangle counting through wedge sampling.. arXiv (Cornell University).13 indexed citations
Jha, Madhav, C. Seshadhri, & Ali Pınar. (2012). From the Birthday Paradox to a Practical Sublinear Space Streaming Algorithm for Triangle Counting. arXiv (Cornell University).2 indexed citations
13.
Kale, Satyen & C. Seshadhri. (2011). Combinatorial Approximation Algorithms for MAXCUT using Random Walks.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 367–388.6 indexed citations
14.
Seshadhri, C., Ali Pınar, & Tamara G. Kolda. (2011). A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs. arXiv (Cornell University).2 indexed citations
15.
Pınar, Ali, C. Seshadhri, & Tamara G. Kolda. (2011). An In-Depth Study of Stochastic Kronecker Graphs.. Journal of the ACM.1 indexed citations
16.
Seshadhri, C., Yevgeniy Vorobeychik, Jackson R. Mayo, Robert C. Armstrong, & Joseph R. Ruthruff. (2011). Influence and Dynamic Behavior in Random Boolean Networks. Physical Review Letters. 107(10). 108701–108701.12 indexed citations
17.
Saks, Michael & C. Seshadhri. (2008). Parallel monotonicity reconstruction. Symposium on Discrete Algorithms. 962–971.7 indexed citations
18.
Kale, Satyen & C. Seshadhri. (2007). Testing Expansion in Bounded Degree Graphs. Electronic colloquium on computational complexity. 14.10 indexed citations
19.
Ailon, Nir, Bernard Chazelle, C. Seshadhri, & Ding Liu. (2006). Self-improving algorithms. Symposium on Discrete Algorithms. 261–270.8 indexed citations
20.
Seshadhri, C., et al.. (2005). RAM Simulation of BGS Model of Abstract State Machines.. Fundamenta Informaticae. 77(1). 175–185.1 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.