Pushpendra Singh

1.8k total citations
49 papers, 1.2k citations indexed

About

Pushpendra Singh is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pushpendra Singh has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 13 papers in Cognitive Neuroscience and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pushpendra Singh's work include EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (11 papers) and ECG Monitoring and Analysis (9 papers). Pushpendra Singh is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (11 papers) and ECG Monitoring and Analysis (9 papers). Pushpendra Singh collaborates with scholars based in India, United Kingdom and United States. Pushpendra Singh's co-authors include Amit Singhal, Ram Bilas Pachori, Binish Fatimah, Anubha Gupta, Shiv Dutt Joshi, Brejesh Lall, Kaushik Saha, Priya Aggarwal, Pranav Soman and Pradip Sircar and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

In The Last Decade

Pushpendra Singh

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pushpendra Singh India 20 518 344 270 228 182 49 1.2k
Assef Zare Iran 23 620 1.2× 128 0.4× 204 0.8× 83 0.4× 389 2.1× 68 1.7k
Rishi Raj Sharma India 16 336 0.6× 221 0.6× 226 0.8× 116 0.5× 112 0.6× 62 879
Raúl Alcaraz Spain 28 662 1.3× 1.4k 4.1× 132 0.5× 275 1.2× 184 1.0× 177 2.6k
Vidya K. Sudarshan Singapore 25 1.1k 2.2× 1.2k 3.5× 255 0.9× 439 1.9× 321 1.8× 49 2.5k
Marjane Khodatars Iran 17 695 1.3× 171 0.5× 148 0.5× 110 0.5× 302 1.7× 19 1.4k
Navid Ghassemi Iran 16 698 1.3× 191 0.6× 188 0.7× 89 0.4× 422 2.3× 23 1.5k
Albertus C. den Brinker Netherlands 20 209 0.4× 796 2.3× 260 1.0× 1.1k 4.8× 62 0.3× 80 1.7k
Abhijit Bhattacharyya India 16 995 1.9× 438 1.3× 558 2.1× 112 0.5× 245 1.3× 37 1.5k
Udantha R. Abeyratne Australia 23 268 0.5× 71 0.2× 544 2.0× 315 1.4× 125 0.7× 119 2.0k
Fernando Andreotti United Kingdom 16 1.2k 2.2× 733 2.1× 465 1.7× 412 1.8× 119 0.7× 27 1.9k

Countries citing papers authored by Pushpendra Singh

Since Specialization
Citations

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

Fields of papers citing papers by Pushpendra Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushpendra Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Pushpendra Singh. A scholar is included among the top collaborators of Pushpendra Singh 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 Pushpendra Singh. Pushpendra Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Pushpendra, Anubha Gupta, & Shiv Dutt Joshi. (2024). On the hypercomplex numbers and normed division algebras in all dimensions: A unified multiplication. PLoS ONE. 19(10). e0312502–e0312502. 1 indexed citations
2.
Singh, Pushpendra, et al.. (2024). PP-CNN: probabilistic pooling CNN for enhanced image classification. Neural Computing and Applications. 37(6). 4345–4361. 5 indexed citations
3.
Gupta, Anubha, Pushpendra Singh, Priya Aggarwal, & Shiv Dutt Joshi. (2024). Unified framework for linear scale invariant signals, systems, and transforms: A tutorial. Digital Signal Processing. 157. 104880–104880.
4.
Singh, Pushpendra, Amit Singhal, Binish Fatimah, & Anubha Gupta. (2023). A novel PRFB decomposition for non-stationary time-series and image analysis. Signal Processing. 207. 108961–108961. 4 indexed citations
5.
Singh, Pushpendra, Anubha Gupta, & Shiv Dutt Joshi. (2022). General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and $Z$ Transforms. IEEE Transactions on Signal Processing. 70. 1295–1309. 7 indexed citations
6.
Aggarwal, Priya, et al.. (2022). COVID-19 image classification using deep learning: Advances, challenges and opportunities. Computers in Biology and Medicine. 144. 105350–105350. 90 indexed citations
7.
Fatimah, Binish, Priya Aggarwal, Pushpendra Singh, & Anubha Gupta. (2022). A comparative study for predictive monitoring of COVID-19 pandemic. Applied Soft Computing. 122. 108806–108806. 7 indexed citations
8.
Fatimah, Binish, Pushpendra Singh, Amit Singhal, & Ram Bilas Pachori. (2022). Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 38 indexed citations
9.
Roy, Sumantra Dutta, et al.. (2022). Adaptive CNN filter pruning using global importance metric. Computer Vision and Image Understanding. 222. 103511–103511. 21 indexed citations
10.
Singh, Pushpendra, et al.. (2022). An automated detection of atrial fibrillation from single‑lead ECG using HRV features and machine learning. Journal of Electrocardiology. 75. 70–81. 31 indexed citations
11.
Fatimah, Binish, Amit Singhal, & Pushpendra Singh. (2022). A multi-modal assessment of sleep stages using adaptive Fourier decomposition and machine learning. Computers in Biology and Medicine. 148. 105877–105877. 11 indexed citations
12.
Singh, Pushpendra, et al.. (2021). Automated detection of COVID-19 from CT scan using convolutional neural network. Journal of Applied Biomedicine. 41(2). 572–588. 47 indexed citations
13.
Singh, Pushpendra, Amit Singhal, Binish Fatimah, Anubha Gupta, & Shiv Dutt Joshi. (2020). AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity. IEEE Communications Letters. 25(3). 990–994. 1 indexed citations
14.
Singhal, Amit, Pushpendra Singh, Brejesh Lall, & Shiv Dutt Joshi. (2020). Modeling and prediction of COVID-19 pandemic using Gaussian mixture model. Chaos Solitons & Fractals. 138. 110023–110023. 81 indexed citations
15.
Singhal, Amit, et al.. (2020). A novel approach for automated alcoholism detection using Fourier decomposition method. Journal of Neuroscience Methods. 346. 108945–108945. 40 indexed citations
16.
Gupta, Anubha, et al.. (2018). A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(5). 925–935. 125 indexed citations
17.
Gupta, Anubha, Shiv Dutt Joshi, & Pushpendra Singh. (2018). On the approximate discrete KLT of fractional Brownian motion and applications. Journal of the Franklin Institute. 355(17). 8989–9016. 16 indexed citations
18.
Singh, Pushpendra. (2018). Novel Fourier quadrature transforms and analytic signal representations for nonlinear and non-stationary time-series analysis. Royal Society Open Science. 5(11). 181131–181131. 44 indexed citations
19.
Singh, Pushpendra. (2017). Breaking the Limits: Redefining the Instantaneous Frequency. Circuits Systems and Signal Processing. 37(8). 3515–3536. 20 indexed citations
20.
Awasthi, Suneet Kumar, et al.. (2012). Filter performance of reduced sized defect photonic crystals based on single‐negative materials. Journal of Modern Optics. 59(7). 601–610. 6 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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