J. Premalatha

61 total papers · 440 total citations
30 papers, 265 citations indexed

About

J. Premalatha is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Premalatha has authored 30 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Premalatha's work include Chaos-based Image/Signal Encryption (7 papers), Biometric Identification and Security (5 papers) and Advanced Steganography and Watermarking Techniques (5 papers). J. Premalatha is often cited by papers focused on Chaos-based Image/Signal Encryption (7 papers), Biometric Identification and Security (5 papers) and Advanced Steganography and Watermarking Techniques (5 papers). J. Premalatha collaborates with scholars based in India, Serbia and China. J. Premalatha's co-authors include Vani Rajasekar, S. Velliangiri, Muzafer Saračević, Dragiša Stanujkić, Darjan Karabašević, Mohamed Elhoseny, Bratislav Predić, P. Balasubramanie, M. Hassaballah and Usman Tariq and has published in prestigious journals such as Scientific Reports, Wireless Personal Communications and Wireless Communications and Mobile Computing.

In The Last Decade

J. Premalatha

27 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
J. Premalatha	101	92	92	80	73	30	265
Sunil Kumar	64 0.6×	116 1.3×	78 0.8×	117 1.5×	87 1.2×	29	321
Nemanja Maček	85 0.8×	65 0.7×	104 1.1×	87 1.1×	82 1.1×	33	301
Hanumat Sastry G	85 0.8×	177 1.9×	112 1.2×	38 0.5×	144 2.0×	28	329
Ehab R. Mohamed	58 0.6×	141 1.5×	69 0.8×	91 1.1×	98 1.3×	27	319
Kavita Sharma	90 0.9×	111 1.2×	131 1.4×	24 0.3×	53 0.7×	39	262
Rajat Subhra Goswami	39 0.4×	80 0.9×	70 0.8×	63 0.8×	70 1.0×	38	206
Subhas Barman	134 1.3×	105 1.1×	182 2.0×	80 1.0×	69 0.9×	29	315
Nam-Su Jho	37 0.4×	122 1.3×	153 1.7×	58 0.7×	136 1.9×	26	295
Hui Wen	60 0.6×	126 1.4×	92 1.0×	48 0.6×	108 1.5×	40	296
N. Malarvizhi	36 0.4×	110 1.2×	99 1.1×	43 0.5×	51 0.7×	41	245

Countries citing papers authored by J. Premalatha

Since Specialization

Citations

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

Fields of papers citing papers by J. Premalatha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Premalatha

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