Shiva Shankar

55 total papers · 658 total citations
39 papers, 474 citations indexed

About

Shiva Shankar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Shiva Shankar has authored 39 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 20 papers in Electrical and Electronic Engineering and 4 papers in Automotive Engineering. Recurrent topics in Shiva Shankar's work include Energy Efficient Wireless Sensor Networks (12 papers), Mobile Ad Hoc Networks (11 papers) and IoT-based Smart Home Systems (7 papers). Shiva Shankar is often cited by papers focused on Energy Efficient Wireless Sensor Networks (12 papers), Mobile Ad Hoc Networks (11 papers) and IoT-based Smart Home Systems (7 papers). Shiva Shankar collaborates with scholars based in India and United States. Shiva Shankar's co-authors include Ravi Gatti, S Santosh Kumar, K. Srikanta Murthy, Dankan Gowda, G. Varaprasad, A C Ramachandra, Xian‐He Sun, Rashmi Rashmi, Suraj Srivastava and G. Deepika and has published in prestigious journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and IET Microwaves Antennas & Propagation.

In The Last Decade

Shiva Shankar

36 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Shiva Shankar	208	170	72	59	53	39	474
S Santosh Kumar	185 0.9×	133 0.8×	60 0.8×	50 0.8×	38 0.7×	48	488
Nayef Abdulwahab Mohammed Alduais	255 1.2×	258 1.5×	56 0.8×	40 0.7×	40 0.8×	57	543
Jyoti Bhola	134 0.6×	162 1.0×	62 0.9×	54 0.9×	39 0.7×	24	501
Rudzidatul Akmam Dziyauddin	150 0.7×	141 0.8×	40 0.6×	47 0.8×	51 1.0×	63	531
Abhay Chaturvedi	134 0.6×	99 0.6×	82 1.1×	48 0.8×	33 0.6×	69	435
Moin Uddin	176 0.8×	157 0.9×	55 0.8×	54 0.9×	29 0.5×	69	464
S. Ramalingam	219 1.1×	256 1.5×	59 0.8×	35 0.6×	29 0.5×	26	419
Wan Du	194 0.9×	101 0.6×	46 0.6×	40 0.7×	26 0.5×	29	425
G. P. Ramesh	119 0.6×	92 0.5×	73 1.0×	45 0.8×	29 0.5×	66	532
Selahattin Koşunalp	263 1.3×	260 1.5×	58 0.8×	35 0.6×	24 0.5×	47	472

Countries citing papers authored by Shiva Shankar

Since Specialization

Citations

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

Fields of papers citing papers by Shiva Shankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Shankar

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