Pinki Kumari

519 total citations
13 papers, 312 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 13 papers receiving a total of 312 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 ECG Monitoring and Analysis (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 ECG Monitoring and Analysis (2 papers). Pinki Kumari collaborates with scholars based in India, Germany and Spain. Pinki Kumari's co-authors include Abhishek Vaish, Vishwanath Bijalwan, Vinay Kumar, Santosh Kumar, Vijay Bhaskar Semwal, Manish Raj, Rakesh Kumar, Gaurav Mahajan, Ashutosh Kumar and Rajeev 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 296 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pinki Kumari India 7 135 96 85 53 36 13 312
Sumit Soman India 11 108 0.8× 120 1.3× 21 0.2× 40 0.8× 48 1.3× 38 349
Jun-ichiro Hirayama Japan 9 105 0.8× 137 1.4× 34 0.4× 47 0.9× 48 1.3× 24 318
Pranesh Das India 7 85 0.6× 59 0.6× 35 0.4× 26 0.5× 29 0.8× 13 273
Serdar Kadıoğlu United States 8 120 0.9× 46 0.5× 53 0.6× 44 0.8× 48 1.3× 27 298
Anmol Gupta India 9 101 0.7× 103 1.1× 19 0.2× 97 1.8× 36 1.0× 22 289
Supriya Supriya Australia 7 175 1.3× 298 3.1× 84 1.0× 150 2.8× 171 4.8× 14 653
Mansoor Ebrahim Pakistan 10 79 0.6× 43 0.4× 35 0.4× 36 0.7× 109 3.0× 48 281
Barjinder Kaur India 9 85 0.6× 201 2.1× 82 1.0× 110 2.1× 44 1.2× 15 405
Farzana Kulsoom Italy 11 102 0.8× 47 0.5× 19 0.2× 42 0.8× 94 2.6× 25 313

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

13 of 13 papers shown
1.
Kumari, Pinki, et al.. (2025). Nanosensors for Monitoring and Detecting Nanoparticle Effects on Crops. Journal of Environmental Nanotechnology. 14(1). 37–51.
2.
Kumari, Pinki, et al.. (2025). Weighted fuzzy clustering approach with adaptive spatial information and Kullback–Leibler divergence for skin lesion segmentation. International Journal of Machine Learning and Cybernetics. 16(7-8). 5317–5337.
4.
Mahajan, Gaurav, et al.. (2024). Deciphering EEG Waves for the Generation of Images. 1–6.
5.
Kumari, Pinki, et al.. (2023). LIFI Based Smart shoes Indoor Navigation for Visually Impaired Using Visible Light Communication. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 7(8).
6.
Kumari, Pinki & Abhishek Vaish. (2015). Information-Theoretic Measures on Intrinsic Mode Function for the Individual Identification Using EEG Sensors. IEEE Sensors Journal. 15(9). 4950–4960. 16 indexed citations
7.
Kumari, Pinki & Abhishek Vaish. (2015). Feature-level fusion of mental task’s brain signal for an efficient identification system. Neural Computing and Applications. 27(3). 659–669. 34 indexed citations
8.
Kumari, Pinki & Abhishek Vaish. (2014). Brainwave's energy feature extraction using wavelet transform. 1–5. 11 indexed citations
9.
Kumari, Pinki, Santosh Kumar, & Abhishek Vaish. (2014). Feature extraction using emprical mode decomposition for biometric system. 283–287. 13 indexed citations
10.
Kumari, Pinki & Abhishek Vaish. (2014). Brainwave based user identification system: A pilot study in robotics environment. Robotics and Autonomous Systems. 65. 15–23. 56 indexed citations
11.
Kumari, Pinki, et al.. (2014). ARIMA model based breast cancer detection and classification through image processing. 1–5. 6 indexed citations
12.
Bijalwan, Vishwanath, et al.. (2014). A Fault-Tolerant Mobile Computing Model Based On Scalable Replica. International Journal of Interactive Multimedia and Artificial Intelligence. 2(6). 58–68. 8 indexed citations
13.
Bijalwan, Vishwanath, et al.. (2014). KNN based Machine Learning Approach for Text and Document Mining. International Journal of Database Theory and Application. 7(1). 61–70. 167 indexed citations

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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