N. Sai Shankar

29 total papers · 900 total citations
18 papers, 592 citations indexed

About

N. Sai Shankar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, N. Sai Shankar has authored 18 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 13 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in N. Sai Shankar's work include Wireless Networks and Protocols (6 papers), Advanced Wireless Network Optimization (4 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). N. Sai Shankar is often cited by papers focused on Wireless Networks and Protocols (6 papers), Advanced Wireless Network Optimization (4 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). N. Sai Shankar collaborates with scholars based in United States, India and Finland. N. Sai Shankar's co-authors include William A. Arbaugh, Kan Zhang, Yadong Wan, Tim Kindberg, Mainak Chatterjee, Swastik Brahma, Carlos Cordeiro, Shubhashis Sengupta, Christopher Kommareddy and Bobby Bhattacharjee and has published in prestigious journals such as Journal of Crystal Growth, IEEE Wireless Communications and Tribology International.

In The Last Decade

N. Sai Shankar

17 papers receiving 529 citations

Author Peers

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

Author						Papers	Cites
N. Sai Shankar	502	337	74	56	30	18	592
Jens Jelitto	263 0.5×	220 0.7×	41 0.6×	94 1.7×	19 0.6×	38	522
Craig Gutterman	231 0.5×	340 1.0×	77 1.0×	13 0.2×	100 3.3×	27	540
Tong Liu	306 0.6×	256 0.8×	120 1.6×	68 1.2×	30 1.0×	30	596
R.A. Skoog	246 0.5×	344 1.0×	45 0.6×	18 0.3×	12 0.4×	36	568
Lan Gao	349 0.7×	161 0.5×	81 1.1×	15 0.3×	10 0.3×	41	514
Ian Flint	235 0.5×	209 0.6×	246 3.3×	17 0.3×	20 0.7×	28	567
Fan Zhang	376 0.7×	110 0.3×	50 0.7×	29 0.5×	14 0.5×	34	627
Kimon Kontovasilis	529 1.1×	387 1.1×	38 0.5×	14 0.3×	24 0.8×	43	628
Sean Blanchard	391 0.8×	486 1.4×	122 1.6×	80 1.4×	15 0.5×	40	687
Bruce Lowekamp	636 1.3×	108 0.3×	63 0.9×	168 3.0×	32 1.1×	36	684

Countries citing papers authored by N. Sai Shankar

Since Specialization

Citations

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

Fields of papers citing papers by N. Sai Shankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Sai Shankar. 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 N. Sai Shankar. The network helps show where N. Sai Shankar may publish in the future.

Co-authorship network of co-authors of N. Sai Shankar

This figure shows the co-authorship network connecting the top 25 collaborators of N. Sai Shankar. A scholar is included among the top collaborators of N. Sai Shankar 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 N. Sai Shankar. N. Sai Shankar 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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