Hariharan Narayanan

107 total papers · 1.1k total citations
42 papers, 445 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 445 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 14 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, Partha Niyogi, Milind Sohoni, Ketan Mulmuley, Steven P. Lalley and Ravi Kannan 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 409 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hariharan Narayanan	163	128	75	71	55	42	445
Trevor Fenner	122 0.7×	102 0.8×	41 0.5×	93 1.3×	77 1.4×	48	446
Ralph P. Grimaldi	108 0.7×	79 0.6×	55 0.7×	80 1.1×	44 0.8×	22	437
Alexander V. Karzanov	267 1.6×	46 0.4×	31 0.4×	104 1.5×	75 1.4×	37	409
Jeffry L. Hirst	211 1.3×	86 0.7×	36 0.5×	38 0.5×	22 0.4×	34	377
Danièle Gardy	93 0.6×	179 1.4×	50 0.7×	182 2.6×	57 1.0×	32	456
Daniel H. Ullman	255 1.6×	70 0.5×	57 0.8×	65 0.9×	174 3.2×	35	441
Ryan R. Martin	215 1.3×	92 0.7×	49 0.7×	57 0.8×	208 3.8×	52	415
Carl Friedrich Gauß	72 0.4×	134 1.0×	37 0.5×	22 0.3×	42 0.8×	23	486
Amitabh Basu	125 0.8×	54 0.4×	62 0.8×	51 0.7×	19 0.3×	45	367
Steve Butler	178 1.1×	47 0.4×	35 0.5×	28 0.4×	113 2.1×	55	374

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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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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