Hariharan Narayanan

1.1k total citations
42 papers, 443 citations indexed

About

Hariharan Narayanan is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Hariharan Narayanan has authored 42 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 13 papers in Statistics and Probability and 11 papers in Artificial Intelligence. Recurrent topics in Hariharan Narayanan's work include Markov Chains and Monte Carlo Methods (10 papers), Machine Learning and Algorithms (6 papers) and Low-power high-performance VLSI design (6 papers). Hariharan Narayanan is often cited by papers focused on Markov Chains and Monte Carlo Methods (10 papers), Machine Learning and Algorithms (6 papers) and Low-power high-performance VLSI design (6 papers). Hariharan Narayanan collaborates with scholars based in United States, India and Russia. Hariharan Narayanan's co-authors include Sanjoy K. Mitter, Ravindran Kannan, Alexander Rakhlin, Gregory F. Lawler, Madhav P. Desai, Milind Sohoni, Partha Niyogi, Ketan Mulmuley, Ravi Kannan and Steven P. Lalley and has published in prestigious journals such as SIAM Journal on Computing, The Annals of Probability and Mathematics of Operations Research.

In The Last Decade

Hariharan Narayanan

39 papers receiving 407 citations

Peers

Hariharan Narayanan

CTM

EEE

CNC

DMC

Sueli I. R. Costa Brazil

Jim Lawrence United States

Ivo G. Rosenberg Canada

Mokshay Madiman United States

Caterina De Simone Italy

Michael J. Dinneen New Zealand

Pascal Koiran France

Tao Zhan China

Amir Yehudayoff Israel

Stasys Jukna Germany

Sueli I. R. Costa Brazil

Hariharan Narayanan

129 ×0.8

CTM

250 ×2.0

190 ×2.6

EEE

94 ×1.4

CNC

50 ×0.9

DMC

Citations per year, relative to Hariharan Narayanan Hariharan Narayanan (= 1×) peers Sueli I. R. Costa

Countries citing papers authored by Hariharan Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Hariharan Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hariharan Narayanan

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

All Works

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20 of 20 papers shown

Narayanan, Hariharan, Scott Sheffield⋆, & Terence Tao. (2023). Sums of GUE matrices and concentration of hives from correlation decay of eigengaps. Probability Theory and Related Fields. 190(3-4). 1121–1165. 2 indexed citations

Fefferman, Charles, Sergei Ivanov, Matti Lassas, & Hariharan Narayanan. (2023). Fitting a manifold of large reach to noisy data. Journal of Topology and Analysis. 17(2). 315–396. 5 indexed citations

Narayanan, Hariharan, et al.. (2019). On the linear static output feedback problem: The annihilating polynomial approach. Linear Algebra and its Applications. 579. 336–364. 2 indexed citations

Fefferman, Charles, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, & Hariharan Narayanan. (2018). Fitting a putative manifold to noisy data. Työväentutkimus Vuosikirja. 688–720. 8 indexed citations

Belloni, Alexandre, Tengyuan Liang, Hariharan Narayanan, & Alexander Rakhlin. (2015). Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. Conference on Learning Theory. 240–265. 16 indexed citations

Narayanan, Hariharan & Partha Niyogi. (2014). Language evolution, coalescent processes, and the consensus problem on a social network. Journal of Mathematical Psychology. 61. 19–24. 7 indexed citations

Narayanan, Hariharan. (2014). Estimating deep Littlewood-Richardson Coefficients. Discrete Mathematics & Theoretical Computer Science. DMTCS Proceedings vol. AT,...(Proceedings). 4 indexed citations

Narayanan, Hariharan, et al.. (2013). Optimization of Process Parameters of Chemical Bath Deposition of Cd1-XZnxS Thin Film. 2 indexed citations

Belkin, Mikhail A., Hariharan Narayanan, & Partha Niyogi. (2013). Heat flow and a faster algorithm to compute the surface area of a convex body. Random Structures and Algorithms. 43(4). 407–428. 2 indexed citations

10.

Roy, Subhendu, et al.. (2010). Large Scale VLSI Circuit Simulation Using Point Relaxation.. 343–347. 1 indexed citations

11.

Narayanan, Hariharan & Sanjoy K. Mitter. (2010). Sample Complexity of Testing the Manifold Hypothesis. neural information processing systems. 23. 1786–1794. 62 indexed citations

12.

Lawler, Gregory F. & Hariharan Narayanan. (2009). Mixing times and e p bounds for oblivious routing. 66–74. 5 indexed citations

13.

Narayanan, Hariharan & Partha Niyogi. (2009). On the sample complexity of learning smooth cuts on a manifold. Conference on Learning Theory. 4 indexed citations

14.

Kannan, Ravi & Hariharan Narayanan. (2009). Random walks on polytopes and an affine interior point method for linear programming. 561–570. 11 indexed citations

15.

Harsha, Prahladh, Thomas P. Hayes, Hariharan Narayanan, Harald Räcke, & Jaikumar Radhakrishnan. (2008). Minimizing average latency in oblivious routing. Symposium on Discrete Algorithms. 200–207. 8 indexed citations

16.

Narayanan, Hariharan, et al.. (2002). Orthogonal partitioning and gated clock architecture for low power realization of FSMs. DSpace (IIT Bombay). 266–270. 9 indexed citations

17.

Narayanan, Hariharan, et al.. (1999). A state assignment scheme targeting performance and area. DSpace (IIT Bombay). 378–383. 8 indexed citations

18.

Narayanan, Hariharan. (1986). On the decomposition of vector spaces. Linear Algebra and its Applications. 79. 61–98. 6 indexed citations

19.

Narayanan, Hariharan. (1986). A unified construction of adjoint systems and networks. International Journal of Circuit Theory and Applications. 14(4). 263–276. 5 indexed citations

20.

Narayanan, Hariharan. (1978). On the Maximum Power Transfer Theorem. International Journal of Electrical Engineering Education. 15(2). 161–167. 3 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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