G. Priyanka

137 total papers · 565 total citations
59 papers, 346 citations indexed

About

G. Priyanka is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Signal Processing. According to data from OpenAlex, G. Priyanka has authored 59 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Signal Processing. Recurrent topics in G. Priyanka's work include EEG and Brain-Computer Interfaces (9 papers), ECG Monitoring and Analysis (7 papers) and Blind Source Separation Techniques (6 papers). G. Priyanka is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), ECG Monitoring and Analysis (7 papers) and Blind Source Separation Techniques (6 papers). G. Priyanka collaborates with scholars based in India, United States and Australia. G. Priyanka's co-authors include R. Medhamurthy, Niranjan Joshi, Debasish Sinha, Patrick D’Silva, Arun Dharmarajan, R. Sridaran, M Lakshman, Anil Kumar Banothu, Devarajan Karunagaran and C. Ganesh Babu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Endocrinology and Human Molecular Genetics.

In The Last Decade

G. Priyanka

43 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
G. Priyanka	90	31	31	27	26	59	346
Jianfeng Cao	116 1.3×	17 0.5×	11 0.4×	8 0.3×	9 0.3×	26	391
Arjun Pakrashi	62 0.7×	64 2.1×	29 0.9×	51 1.9×	46 1.8×	46	389
Lan Xiao	155 1.7×	10 0.3×	52 1.7×	14 0.5×	23 0.9×	34	326
Zhiyu Ma	106 1.2×	116 3.7×	6 0.2×	6 0.2×	17 0.7×	27	373
Ahsanullah Unar	140 1.6×	38 1.2×	8 0.3×	26 1.0×	32 1.2×	49	403
Chenghui Yang	58 0.6×	99 3.2×	8 0.3×	8 0.3×	27 1.0×	45	392
Godwin Avwioro	70 0.8×	10 0.3×	50 1.6×	5 0.2×	15 0.6×	44	382
Ailing Zhang	125 1.4×	9 0.3×	11 0.4×	8 0.3×	34 1.3×	44	354
Ping Cheng	82 0.9×	7 0.2×	8 0.3×	22 0.8×	10 0.4×	27	346
Rajeev Nema	111 1.2×	4 0.1×	43 1.4×	14 0.5×	6 0.2×	50	331

Countries citing papers authored by G. Priyanka

Since Specialization

Citations

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

Fields of papers citing papers by G. Priyanka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Priyanka

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