Pinki Kumari

22 total papers · 517 total citations
12 papers, 309 citations indexed

About

Pinki Kumari is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pinki Kumari has authored 12 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Pinki Kumari's work include EEG and Brain-Computer Interfaces (5 papers), Blind Source Separation Techniques (3 papers) and Neural Networks and Applications (2 papers). Pinki Kumari is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Blind Source Separation Techniques (3 papers) and Neural Networks and Applications (2 papers). Pinki Kumari collaborates with scholars based in India, Spain and Germany. Pinki Kumari's co-authors include Abhishek Vaish, Vishwanath Bijalwan, Vinay Kumar, Santosh Kumar, Manish Raj, Vijay Bhaskar Semwal, Ashutosh Kumar, Rajeev Kumar, Gaurav Mahajan and Rakesh Kumar and has published in prestigious journals such as IEEE Sensors Journal, Neural Computing and Applications and Robotics and Autonomous Systems.

In The Last Decade

Pinki Kumari

9 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Pinki Kumari	132	94	83	53	36	12	309
Yu Wang	137 1.0×	97 1.0×	37 0.4×	66 1.2×	35 1.0×	18	307
Jun-ichiro Hirayama	104 0.8×	134 1.4×	34 0.4×	47 0.9×	48 1.3×	24	314
Serdar Kadıoğlu	116 0.9×	46 0.5×	50 0.6×	44 0.8×	48 1.3×	27	292
Anmol Gupta	99 0.8×	102 1.1×	18 0.2×	95 1.8×	36 1.0×	21	285
Tianming Zhao	66 0.5×	49 0.5×	80 1.0×	85 1.6×	60 1.7×	12	325
Muhammad Bilal Qureshi	51 0.4×	100 1.1×	102 1.2×	48 0.9×	50 1.4×	22	331
Hatma Suryotrisongko	95 0.7×	59 0.6×	78 0.9×	51 1.0×	10 0.3×	25	288
Seul-Ki Yeom	82 0.6×	196 2.1×	43 0.5×	38 0.7×	66 1.8×	10	343
Qingjun Wang	51 0.4×	75 0.8×	36 0.4×	13 0.2×	62 1.7×	16	264
Nikolaos Alexandris	51 0.4×	161 1.7×	88 1.1×	49 0.9×	8 0.2×	26	287

Countries citing papers authored by Pinki Kumari

Since Specialization

Citations

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

Fields of papers citing papers by Pinki Kumari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinki Kumari

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