R. S. Nikhil

22 total papers · 1.3k total citations
17 papers, 833 citations indexed

About

R. S. Nikhil is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, R. S. Nikhil has authored 17 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 8 papers in Computer Networks and Communications and 4 papers in Computational Theory and Mathematics. Recurrent topics in R. S. Nikhil's work include Parallel Computing and Optimization Techniques (10 papers), Embedded Systems Design Techniques (9 papers) and Low-power high-performance VLSI design (4 papers). R. S. Nikhil is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Embedded Systems Design Techniques (9 papers) and Low-power high-performance VLSI design (4 papers). R. S. Nikhil collaborates with scholars based in United States, India and Switzerland. R. S. Nikhil's co-authors include Arvind Arvind, Gregory M. Papadopoulos, Nirav Dave, Leonidas Kontothanassis, Nikos Hardavellas, Robert Stets, Sandhya Dwarkadas, Hiren Patel, Sandeep K. Shukla and Umakishore Ramachandran and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and International Journal of Engineering & Technology.

In The Last Decade

R. S. Nikhil

15 papers receiving 727 citations

Author Peers

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

Author						Papers	Cites
R. S. Nikhil	691	603	107	86	75	17	833
Lawrie	612 0.9×	700 1.2×	159 1.5×	81 0.9×	45 0.6×	9	829
Alexandre E. Eichenberger	892 1.3×	721 1.2×	103 1.0×	102 1.2×	140 1.9×	50	995
Rakesh Komuravelli	658 1.0×	619 1.0×	114 1.1×	160 1.9×	140 1.9×	20	766
Hyojin Sung	662 1.0×	633 1.0×	111 1.0×	162 1.9×	175 2.3×	31	787
Zehra Sura	549 0.8×	510 0.8×	124 1.2×	94 1.1×	165 2.2×	28	738
T.M. Parks	735 1.1×	510 0.8×	69 0.6×	43 0.5×	31 0.4×	12	845
Steve Tjiang	682 1.0×	392 0.7×	186 1.7×	143 1.7×	54 0.7×	16	797
Jacqueline Chame	752 1.1×	582 1.0×	183 1.7×	152 1.8×	127 1.7×	23	862
Jeffrey S. Kuskin	797 1.2×	821 1.4×	228 2.1×	66 0.8×	113 1.5×	18	1.0k
Nicolas Vasilache	574 0.8×	357 0.6×	100 0.9×	199 2.3×	85 1.1×	16	749

Countries citing papers authored by R. S. Nikhil

Since Specialization

Citations

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

Fields of papers citing papers by R. S. Nikhil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. S. Nikhil. 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 R. S. Nikhil. The network helps show where R. S. Nikhil may publish in the future.

Co-authorship network of co-authors of R. S. Nikhil

This figure shows the co-authorship network connecting the top 25 collaborators of R. S. Nikhil. A scholar is included among the top collaborators of R. S. Nikhil 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 R. S. Nikhil. R. S. Nikhil 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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