Ram Bilas Pachori

18.2k total citations · 5 hit papers
298 papers, 13.3k citations indexed

About

Ram Bilas Pachori is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ram Bilas Pachori has authored 298 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Cognitive Neuroscience, 126 papers in Signal Processing and 90 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ram Bilas Pachori's work include EEG and Brain-Computer Interfaces (136 papers), Blind Source Separation Techniques (108 papers) and ECG Monitoring and Analysis (83 papers). Ram Bilas Pachori is often cited by papers focused on EEG and Brain-Computer Interfaces (136 papers), Blind Source Separation Techniques (108 papers) and ECG Monitoring and Analysis (83 papers). Ram Bilas Pachori collaborates with scholars based in India, Singapore and Malaysia. Ram Bilas Pachori's co-authors include U. Rajendra Acharya, Varun Bajaj, Abhijit Bhattacharyya, Rajeev Sharma, Shivnarayan Patidar, Manish Sharma, Abhay Upadhyay, Pradip Sircar, Vipin Gupta and Rajesh Kumar Tripathy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ram Bilas Pachori

278 papers receiving 12.9k citations

Hit Papers

5 papers align trajectories

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.

A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform

2017 338 citations Ram Bilas Pachori et al. profile →
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

2014 326 citations Ram Bilas Pachori et al. profile →
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

2020 277 citations Soumya Ranjan Nayak, Deepak Ranjan Nayak et al. Biomedical Signal Processing and Control profile →
A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI

2021 186 citations Ram Bilas Pachori et al. profile →
Time-Frequency Analysis Techniques and their Applications

2023 124 citations Ram Bilas Pachori profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ram Bilas Pachori India	66	7.7k	4.7k	3.6k	1.9k	1.8k	298	13.3k
Abdülhamit Subaşı Saudi Arabia	51	6.0k 0.8×	2.9k 0.6×	1.8k 0.5×	2.2k 1.2×	2.0k 1.1×	178	10.4k
Cuntai Guan Singapore	68	14.9k 1.9×	3.5k 0.7×	1.0k 0.3×	2.5k 1.3×	2.9k 1.6×	411	19.6k
Xun Chen China	54	3.9k 0.5×	1.3k 0.3×	1.6k 0.4×	874 0.5×	3.3k 1.8×	497	14.0k
Jen Hong Tan Singapore	47	4.4k 0.6×	982 0.2×	4.3k 1.2×	1.3k 0.7×	1.8k 1.0×	102	10.4k
Seong‐Whan Lee South Korea	62	6.2k 0.8×	1.4k 0.3×	564 0.2×	3.0k 1.6×	1.5k 0.8×	508	14.3k
Varun Bajaj India	42	3.0k 0.4×	1.4k 0.3×	1.2k 0.3×	971 0.5×	977 0.5×	169	5.6k
Tülay Adalı United States	57	10.2k 1.3×	4.4k 0.9×	426 0.1×	1.7k 0.9×	479 0.3×	376	15.7k
Yuki Hagiwara Singapore	33	4.1k 0.5×	904 0.2×	3.7k 1.0×	1.0k 0.6×	1.5k 0.8×	68	8.1k
Rabab Ward Canada	55	2.6k 0.3×	2.0k 0.4×	1.7k 0.5×	1.1k 0.6×	2.5k 1.4×	454	12.8k
Shu Lih Oh Singapore	36	4.5k 0.6×	899 0.2×	4.1k 1.1×	977 0.5×	1.4k 0.8×	56	7.8k

Countries citing papers authored by Ram Bilas Pachori

Since Specialization

Citations

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

Fields of papers citing papers by Ram Bilas Pachori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram Bilas Pachori. 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 Ram Bilas Pachori. The network helps show where Ram Bilas Pachori may publish in the future.

Co-authorship network of co-authors of Ram Bilas Pachori

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Das, Dipankar, Deepak Ranjan Nayak, & Ram Bilas Pachori. (2024). AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images. Image and Vision Computing. 146. 105042–105042. 8 indexed citations

Singh, Himanshu, M. Sabarimalai Manikandan, & Ram Bilas Pachori. (2024). Compressed ECG sensing based heart rate asymmetry analysis for energy-constrained fast health monitoring. Biomedical Signal Processing and Control. 95. 106423–106423. 1 indexed citations

Pachori, Ram Bilas, et al.. (2024). Speech and speaker recognition using raw waveform modeling for adult and children’s speech: A comprehensive review. Engineering Applications of Artificial Intelligence. 131. 107661–107661. 11 indexed citations

Pachori, Ram Bilas, et al.. (2024). Multichannel Eigenvalue Decomposition of Hankel Matrix-Based Classification of Eye Movements From Electrooculogram. IEEE Sensors Letters. 8(7). 1–4. 5 indexed citations

Manikandan, M. Sabarimalai, et al.. (2024). Signal Quality-Aware Frequency Demodulation-Based ECG-Derived Respiration Rate Estimation Method With Reduced False Alarms. IEEE Sensors Letters. 8(9). 1–4. 2 indexed citations

Singh, Anurag, et al.. (2024). Exploring CEEMDAN and LMD Domains Entropy Features for Decoding EEG-Based Emotion Patterns. IEEE Access. 12. 103606–103625. 5 indexed citations

Gupta, Vipin, et al.. (2023). Fourier-Bessel representation for signal processing: A review. Digital Signal Processing. 135. 103938–103938. 31 indexed citations

Ghassemi, Navid, Afshin Shoeibi, Marjane Khodatars, et al.. (2023). Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning. Applied Soft Computing. 144. 110511–110511. 35 indexed citations

Sharma, Rishi Raj, et al.. (2023). Complex Flexible Analytic Wavelet Transform for UAV State Identification Using RF Signal. IEEE Transactions on Aerospace and Electronic Systems. 60(2). 1471–1481. 7 indexed citations

10.

Nayak, Soumya Ranjan, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, & Ram Bilas Pachori. (2022). An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray Images. Diagnostics. 13(1). 131–131. 28 indexed citations

11.

Manikandan, M. Sabarimalai, et al.. (2022). Automatic SWT Based QRS Detection Using Weighted Subbands and Shannon Energy Peak Amplification for ECG Signal Analysis Devices. bme 33. 1–7. 5 indexed citations

12.

Singhal, Aditi, et al.. (2020). Comparing the capabilities of transfer learning models to detect skin lesion in humans. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 234(10). 1083–1093. 12 indexed citations

13.

Anuragi, Arti, Dilip Singh Sisodia, & Ram Bilas Pachori. (2020). Automated Alcoholism Detection Using Fourier-Bessel Series Expansion Based Empirical Wavelet Transform. IEEE Sensors Journal. 20(9). 4914–4924. 43 indexed citations

14.

Kankar, Pavan Kumar, et al.. (2020). Automated bearing fault classification based on discrete wavelet transform method. Life Cycle Reliability and Safety Engineering. 10(2). 99–111. 12 indexed citations

15.

Sharma, Rishi Raj, et al.. (2019). An empirical wavelet transform-based approach for cross-terms-free Wigner–Ville distribution. Signal Image and Video Processing. 14(2). 249–256. 26 indexed citations

16.

Sharma, Rishi Raj & Ram Bilas Pachori. (2018). Improved Eigenvalue Decomposition-Based Approach for Reducing Cross-Terms in Wigner–Ville Distribution. Circuits Systems and Signal Processing. 37(8). 3330–3350. 28 indexed citations

17.

Sharma, Rishi Raj, et al.. (2018). Automated System for Epileptic EEG Detection Using Iterative Filtering. IEEE Sensors Letters. 2(4). 1–4. 72 indexed citations

18.

Sharma, Rishi Raj & Ram Bilas Pachori. (2018). Eigenvalue Decomposition of Hankel Matrix-Based Time-Frequency Representation for Complex Signals. Circuits Systems and Signal Processing. 37(8). 3313–3329. 21 indexed citations

19.

Jain, Pooja & Ram Bilas Pachori. (2012). Time-Order Representation Based Method for Epoch Detection from Speech Signals. SHILAP Revista de lepidopterología. 21(1). 79–95. 18 indexed citations

20.

Bajaj, Varun & Ram Bilas Pachori. (2011). Application of the Sample Entropy for Discrimination between Seizure and Seizure-Free EEG Signals.. Indian International Conference on Artificial Intelligence. 1232–1247. 5 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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