Ravishankar Rao

22 total papers · 942 total citations
19 papers, 725 citations indexed

About

Ravishankar Rao is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Ravishankar Rao has authored 19 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 12 papers in Hardware and Architecture and 6 papers in Computer Networks and Communications. Recurrent topics in Ravishankar Rao's work include Parallel Computing and Optimization Techniques (11 papers), Low-power high-performance VLSI design (8 papers) and Green IT and Sustainability (7 papers). Ravishankar Rao is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Low-power high-performance VLSI design (8 papers) and Green IT and Sustainability (7 papers). Ravishankar Rao collaborates with scholars based in United States, Canada and Italy. Ravishankar Rao's co-authors include Sarma Vrudhula, Daler Rakhmatov, Carla Fabiana Chiasserini, Chaitali Chakrabarti, Naehyuck Chang, Karam S. Chatha, Vinay Hanumaiah, Vineet Agarwal, Sarvesh Bhardwaj and Janet Wang and has published in prestigious journals such as IEEE Transactions on Wireless Communications, Computer and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Ravishankar Rao

19 papers receiving 690 citations

Author Peers

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

Author						Papers	Cites
Ravishankar Rao	496	347	254	209	31	19	725
R. Scarsi	593 1.2×	242 0.7×	312 1.2×	279 1.3×	33 1.1×	33	750
D. Panigrahi	522 1.1×	501 1.4×	138 0.5×	176 0.8×	28 0.9×	10	788
Rahul Razdan	167 0.3×	271 0.8×	391 1.5×	121 0.6×	42 1.4×	34	658
Samuel Woo	500 1.0×	325 0.9×	122 0.5×	174 0.8×	92 3.0×	22	673
Ulf E. Larson	453 0.9×	313 0.9×	110 0.4×	132 0.6×	54 1.7×	27	642
Hyun Min Song	558 1.1×	524 1.5×	70 0.3×	166 0.8×	87 2.8×	12	830
Mimi Xie	436 0.9×	214 0.6×	226 0.9×	57 0.3×	11 0.4×	51	644
Dawoon Jung	131 0.3×	608 1.8×	301 1.2×	103 0.5×	37 1.2×	23	799
Karthik Swaminathan	533 1.1×	168 0.5×	214 0.8×	39 0.2×	6 0.2×	47	648
Jian Ouyang	168 0.3×	429 1.2×	239 0.9×	115 0.6×	76 2.5×	33	768

Countries citing papers authored by Ravishankar Rao

Since Specialization

Citations

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

Fields of papers citing papers by Ravishankar Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravishankar Rao

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