Pramod Gaur

1.2k total citations · 1 hit paper
16 papers, 900 citations indexed

About

Pramod Gaur is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Pramod Gaur has authored 16 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Signal Processing. Recurrent topics in Pramod Gaur's work include EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (7 papers) and Blind Source Separation Techniques (6 papers). Pramod Gaur is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (7 papers) and Blind Source Separation Techniques (6 papers). Pramod Gaur collaborates with scholars based in India, United Kingdom and United Arab Emirates. Pramod Gaur's co-authors include Ram Bilas Pachori, Hui Wang, Girijesh Prasad, Karl McCreadie, Anirban Chowdhury, Harsh Gupta, Mukesh Kumar Gupta, Abhay Gupta, Rishi Raj Sharma and J. Angel Arul Jothi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Pramod Gaur

15 papers receiving 884 citations

Hit Papers

A Sliding Window Common Spatial Pattern for Enhancing Mot... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI
    2021 186 citations Pramod Gaur, Harsh Gupta et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pramod Gaur India 13 729 295 244 183 155 16 900
Yousef R. Tabar Denmark 9 791 1.1× 311 1.1× 174 0.7× 224 1.2× 138 0.9× 17 895
Bingchuan Liu China 9 694 1.0× 258 0.9× 162 0.7× 198 1.1× 131 0.8× 15 805
Na Lu China 13 608 0.8× 294 1.0× 199 0.8× 207 1.1× 135 0.9× 14 703
Vernon J. Lawhern United States 17 811 1.1× 231 0.8× 219 0.9× 205 1.1× 130 0.8× 40 999
Alexander Craik United States 5 894 1.2× 186 0.6× 156 0.6× 152 0.8× 115 0.7× 9 1.0k
Yangyang Miao China 14 1.1k 1.5× 453 1.5× 294 1.2× 311 1.7× 317 2.0× 24 1.2k
Yadong Liu China 17 1.1k 1.5× 559 1.9× 154 0.6× 257 1.4× 338 2.2× 81 1.3k
Shiu Kumar Fiji 14 462 0.6× 211 0.7× 164 0.7× 233 1.3× 136 0.9× 27 691
Minkyu Ahn South Korea 18 1.3k 1.7× 615 2.1× 139 0.6× 327 1.8× 235 1.5× 43 1.4k
Min-Ho Lee South Korea 15 1.2k 1.6× 485 1.6× 187 0.8× 314 1.7× 293 1.9× 55 1.5k

Countries citing papers authored by Pramod Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Pramod Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramod Gaur

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

All Works

16 of 16 papers shown
1.
Gupta, Mukesh Kumar, et al.. (2024). Detection of epileptic seizure in EEG signals using machine learning and deep learning techniques. SHILAP Revista de lepidopterología. 71(1). 38 indexed citations
2.
Chowdhury, Anirban, et al.. (2023). Sliding Window Along With EEGNet-Based Prediction of EEG Motor Imagery. IEEE Sensors Journal. 23(15). 17703–17713. 21 indexed citations
3.
Mishra, Ram Krishn, Siddhaling Urolagin, J. Angel Arul Jothi, & Pramod Gaur. (2022). Deep hybrid learning for facial expression binary classifications and predictions. Image and Vision Computing. 128. 104573–104573. 20 indexed citations
4.
Gaur, Pramod, et al.. (2022). EEG signal based seizure detection focused on Hjorth parameters from tunable-Q wavelet sub-bands. Biomedical Signal Processing and Control. 76. 103645–103645. 29 indexed citations
5.
Gaur, Pramod, et al.. (2022). Privacy Protection Framework for Android. IEEE Access. 10. 7973–7988. 5 indexed citations
6.
Gaur, Pramod, et al.. (2021). COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning. Biomedical Signal Processing and Control. 71. 103076–103076. 54 indexed citations
7.
Gaur, Pramod, Harsh Gupta, Anirban Chowdhury, et al.. (2021). A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI. IEEE Transactions on Instrumentation and Measurement. 70. 1–9. 186 indexed citations breakdown →
8.
Gaur, Pramod, Karl McCreadie, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2021). An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation. Biomedical Signal Processing and Control. 68. 102574–102574. 68 indexed citations
9.
Gaur, Pramod, Anirban Chowdhury, Karl McCreadie, Ram Bilas Pachori, & Hui Wang. (2021). Logistic Regression With Tangent Space-Based Cross-Subject Learning for Enhancing Motor Imagery Classification. IEEE Transactions on Cognitive and Developmental Systems. 14(3). 1188–1197. 22 indexed citations
10.
Kumar, Ravendra, Pramod Gaur, & Tushar Sharma. (2020). Aspect-Oriented Programming (AOP). International Journal of Psychosocial Rehabilitation. 31299–31302.
11.
Gaur, Pramod, Karl McCreadie, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2019). Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain–Computer Interface. International Journal of Neural Systems. 29(10). 1950025–1950025. 69 indexed citations
12.
Gaur, Pramod, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2019). An Automatic Subject Specific Intrinsic Mode Function Selection for Enhancing Two-Class EEG-Based Motor Imagery-Brain Computer Interface. IEEE Sensors Journal. 19(16). 6938–6947. 80 indexed citations
13.
Gaur, Pramod, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2017). A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry. Expert Systems with Applications. 95. 201–211. 192 indexed citations
14.
Gaur, Pramod, et al.. (2016). An MEG Based BCI for Classification of Multi-Direction Wrist Movements Using Empirical Mode Decomposition. 1 indexed citations
15.
Gaur, Pramod, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2016). A multivariate empirical mode decomposition based filtering for subject independent BCI. 34 indexed citations
16.
Gaur, Pramod, Ram Bilas Pachori, Hui Wang, & Girijesh Prasad. (2015). An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface. Ulster University Research Portal (Ulster University). 1–7. 81 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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