M. Shyamala Devi

190 total papers · 571 total citations
87 papers, 233 citations indexed

About

M. Shyamala Devi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management. According to data from OpenAlex, M. Shyamala Devi has authored 87 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 12 papers in Health Information Management. Recurrent topics in M. Shyamala Devi's work include Artificial Intelligence in Healthcare (12 papers), Smart Agriculture and AI (11 papers) and Cloud Computing and Resource Management (6 papers). M. Shyamala Devi is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), Smart Agriculture and AI (11 papers) and Cloud Computing and Resource Management (6 papers). M. Shyamala Devi collaborates with scholars based in India, South Korea and Iraq. M. Shyamala Devi's co-authors include J. Arun Pandian, R. Suguna, Shakila Basheer, Yuvaraj Natarajan, K. R. Sri Preethaa, R. Aruna, Muhammad Arif, Ahmed Ali, V. Dhilip Kumar and Adrian Brezulianu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

M. Shyamala Devi

56 papers receiving 220 citations

Author Peers

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

Author						Papers	Cites
M. Shyamala Devi	49	44	31	31	26	87	233
M Sakthimohan	53 1.1×	46 1.0×	43 1.4×	33 1.1×	6 0.2×	53	332
G. Sajiv	50 1.0×	19 0.4×	36 1.2×	22 0.7×	19 0.7×	52	253
Kayalvizhi Jayavel	71 1.4×	27 0.6×	42 1.4×	34 1.1×	11 0.4×	41	314
J. Surendiran	47 1.0×	12 0.3×	16 0.5×	24 0.8×	25 1.0×	28	209
Shubhi Gupta	58 1.2×	52 1.2×	101 3.3×	43 1.4×	27 1.0×	37	318
Santosh Kumar Vishwakarma	91 1.9×	55 1.3×	34 1.1×	33 1.1×	10 0.4×	33	307
Narayana Darapaneni	98 2.0×	11 0.3×	14 0.5×	73 2.4×	18 0.7×	72	331
M. Vadivel	46 0.9×	15 0.3×	64 2.1×	10 0.3×	9 0.3×	39	236
Nidhi Sindhwani	55 1.1×	35 0.8×	62 2.0×	32 1.0×	11 0.4×	38	254
Anwesh Reddy Paduri	91 1.9×	10 0.2×	14 0.5×	66 2.1×	18 0.7×	65	315

Countries citing papers authored by M. Shyamala Devi

Since Specialization

Citations

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

Fields of papers citing papers by M. Shyamala Devi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Shyamala Devi

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