M. Ravishankar

91 total papers · 884 total citations
53 papers, 483 citations indexed

About

M. Ravishankar is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, M. Ravishankar has authored 53 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Hardware and Architecture and 10 papers in Computer Networks and Communications. Recurrent topics in M. Ravishankar's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers) and Image Enhancement Techniques (7 papers). M. Ravishankar is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers) and Image Enhancement Techniques (7 papers). M. Ravishankar collaborates with scholars based in India, United States and United Kingdom. M. Ravishankar's co-authors include P. Sadayappan, Louis-Noël Pouchet, Vinod Grover, Sandip Mazumder, Atanas Rountev, Justin Holewinski, J. Ramanujam, Muthu Manikandan Baskaran, S. Ramachandran and Changwan Hong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and International Journal of Heat and Mass Transfer.

In The Last Decade

M. Ravishankar

48 papers receiving 446 citations

Author Peers

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

Author						Papers	Cites
M. Ravishankar	229	171	160	59	56	53	483
Anne C. Elster	107 0.5×	111 0.6×	192 1.2×	94 1.6×	39 0.7×	50	496
Max Grossman	207 0.9×	208 1.2×	65 0.4×	76 1.3×	78 1.4×	23	511
Roberto Cavicchioli	182 0.8×	110 0.6×	84 0.5×	33 0.6×	52 0.9×	38	405
Pedro Valero‐Lara	226 1.0×	197 1.2×	113 0.7×	51 0.9×	112 2.0×	56	497
Benedict R. Gaster	333 1.5×	305 1.8×	81 0.5×	124 2.1×	71 1.3×	30	543
Jianwei Li	136 0.6×	290 1.7×	105 0.7×	83 1.4×	33 0.6×	25	520
Mary Inaba	143 0.6×	215 1.3×	133 0.8×	193 3.3×	47 0.8×	28	528
Hossam ElGindy	151 0.7×	198 1.2×	147 0.9×	63 1.1×	102 1.8×	43	509
Diego R. Llanos	296 1.3×	312 1.8×	71 0.4×	54 0.9×	40 0.7×	69	471
Liquan Xiao	129 0.6×	207 1.2×	43 0.3×	70 1.2×	75 1.3×	60	472

Countries citing papers authored by M. Ravishankar

Since Specialization

Citations

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

Fields of papers citing papers by M. Ravishankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ravishankar

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