R. Priyadharshini

98 total papers · 710 total citations
48 papers, 433 citations indexed

About

R. Priyadharshini is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Media Technology. According to data from OpenAlex, R. Priyadharshini has authored 48 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Plant Science and 7 papers in Media Technology. Recurrent topics in R. Priyadharshini's work include Smart Agriculture and AI (4 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Antenna and Metasurface Technologies (3 papers). R. Priyadharshini is often cited by papers focused on Smart Agriculture and AI (4 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Antenna and Metasurface Technologies (3 papers). R. Priyadharshini collaborates with scholars based in India, United States and Nepal. R. Priyadharshini's co-authors include S. Arivazhagan, M. Arun, Sivakumar Uthandi, S. Rajeshkumar, Subbaiah Muthu Prabhu, D. Jeya Sundara Sharmila, Aswin Thacharodi, K. Ramkumar, Sankaran Meenakshi and S.SD. Elanchezhiyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Expert Systems with Applications.

In The Last Decade

R. Priyadharshini

40 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
R. Priyadharshini	202	100	74	53	49	48	433
K. Suganya Devi	153 0.8×	69 0.7×	165 2.2×	14 0.3×	21 0.4×	52	472
Asif Iqbal Khan	154 0.8×	53 0.5×	72 1.0×	13 0.2×	52 1.1×	22	405
Arwa Mashat	116 0.6×	44 0.4×	54 0.7×	12 0.2×	18 0.4×	35	468
Ruber Hernández-García	153 0.8×	90 0.9×	94 1.3×	5 0.1×	51 1.0×	46	453
Guo Hui	156 0.8×	41 0.4×	119 1.6×	12 0.2×	15 0.3×	24	373
S. M. Meena	106 0.5×	60 0.6×	105 1.4×	8 0.2×	59 1.2×	53	412
Elanchezhian Arulmozhi	228 1.1×	48 0.5×	24 0.3×	18 0.3×	6 0.1×	31	450
Venkatesh Venkatesh	81 0.4×	31 0.3×	41 0.6×	84 1.6×	10 0.2×	73	443
W. Mueller	82 0.4×	79 0.8×	22 0.3×	13 0.2×	15 0.3×	47	427
Ricardo J. Barrientos	142 0.7×	89 0.9×	91 1.2×	5 0.1×	78 1.6×	42	399

Countries citing papers authored by R. Priyadharshini

Since Specialization

Citations

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

Fields of papers citing papers by R. Priyadharshini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Priyadharshini

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